Publications

Journal Articles · Book Chapters · Abstracts · Datasets · GRASS-GIS · Magazine Articles · Other Documents

Here you can find a list of the papers I published, as well as some selected conference abstracts. The references are sorted, listed and formatted with Jekyll Schollar.

I intend to keep an open access copy of my papers at EarthArXiv.org and ArXiv.org, which means that you can read them even without a subscription to the publisher, but be warned that most of these are postprints created from the “accepted manuscript” (that is, they have the exact same content of the final published version, except for the publisher’s typesetting). For a final version, please refer to the publisher’s website (which may be behind a paywall). Also, please understand that I can only post pre/postprints for the articles which I am the lead author.

And if you use reference managers (you should), you can get a file with all my publications: BibTex format: here (good for JabRef, Zotero and a bazillion others) RIS format: here (good for Mendeley or EndNote) (last update: 2023-11)

 

Journal Articles

* Denotes student co-author.
** Denotes post-doc co-author.

2024

  • Alvioli, M., Loche, M., Jacobs, L., Grohmann, C. H., Abraham, M. T., Gupta, K., Satyam, N., Scaringi, G., Bornaetxea, T., Rossi, M., Marchesini, I., Lombardo, L., Moreno, M., Steger, S., Camera, C., Bajni, G., Samodra, G., Wahyudi, E. E., Susyanto, N., Sinčić, M., et al. 2024. A benchmark dataset and workflow for landslide susceptibility zonation. Earth-Science Reviews, 104927.
    Abstract

    Abstract

    Landslide susceptibility shows the spatial likelihood of landslide occurrence in a specific geographical area and is a relevant tool for mitigating the impact of landslides worldwide. As such, it is the subject of countless scientific studies. Many methods exist for generating a susceptibility map, mostly falling under the definition of statistical or machine learning. These models try to solve a classification problem: given a collection of spatial variables, and their combination associated with landslide presence or absence, a model should be trained, tested to reproduce the target outcome, and eventually applied to unseen data. Contrary to many fields of science that use machine learning for specific tasks, no reference data exist to assess the performance of a given method for landslide susceptibility. Here, we propose a benchmark dataset consisting of 7360 slope units encompassing an area of about 4,100km2 in Central Italy. Using the dataset, we tried to answer two open questions in landslide research: (1) what effect does the human variability have in creating susceptibility models; (2) how can we develop a reproducible workflow for allowing meaningful model comparisons within the landslide susceptibility research community. With these questions in mind, we released a preliminary version of the dataset, along with a “call for collaboration,” aimed at collecting different calculations using the proposed data, and leaving the freedom of implementation to the respondents. Contributions were different in many respects, including classification methods, use of predictors, implementation of training/validation, and performance assessment. That feedback suggested refining the initial dataset, and constraining the implementation workflow. This resulted in a final benchmark dataset and landslide susceptibility maps obtained with many classification methods. Values of area under the receiver operating characteristic curve obtained with the final benchmark dataset were rather similar, as an effect of constraints on training, cross–validation, and use of data. Brier score results show larger variability, instead, ascribed to different model predictive abilities. Correlation plots show similarities between results of different methods applied by the same group, ascribed to a residual implementation dependence. We stress that the experiment did not intend to select the “best” method but only to establish a first benchmark dataset and workflow, that may be useful as a standard reference for calculations by other scholars. The experiment, to our knowledge, is the first of its kind for landslide susceptibility modeling. The data and workflow presented here comparatively assess the performance of independent methods for landslide susceptibility and we suggest the benchmark approach as a best practice for quantitative research in geosciences.
    BibTeX

    BibTeX

                        @article{Alvioli2024benchmark,
  title = {{A benchmark dataset and workflow for landslide susceptibility zonation}},
  issn = {0012-8252},
  url = {https://www.sciencedirect.com/science/article/pii/S0012825224002551},
  doi = {10.1016/j.earscirev.2024.104927},
  journal = {Earth-Science Reviews},
  publisher = {Elsevier BV},
  author = {Alvioli, Massimiliano and Loche, Marco and Jacobs, Liesbet and Grohmann, C. H. and Abraham, Minu Treesa and Gupta, Kunal and Satyam, Neelima and Scaringi, Gianvito and Bornaetxea, Txomin and Rossi, Mauro and Marchesini, Ivan and Lombardo, Luigi and Moreno, Mateo and Steger, Stefan and Camera, Corrado and Bajni, Greta and Samodra, Guruh and Wahyudi, Erwin Eko and Susyanto, Nanang and Sinčić, Marko and Gazibara, Sanja Bernat and Sirbu, Flavius and Torizin, Jewgenij and Sch\"{u}ßler, Nick and Mirus, Benjamin and Woodard, Jacob and Aguilera, Héctor and Rivera-Rivera, Jhonatan Steven},
  year = {2024},
  month = sep,
  pages = {104927},
  access = {Paywalled},
  kind = {journal},
  owner = {guano}
}
    Paywalled

  • Bielski, C., López-Vázquez, C., Grohmann, C. H., Guth, P. L., Hawker, L., Gesch, D., Trevisani, S., Herrera-Cruz, V., Riazanoff, S., Corseaux, A., Reuter, H. I., & Strobl, P. 2024. Novel approach for ranking DEMs: Copernicus DEM improves one arc second open global topography. IEEE Transactions on Geoscience & Remote Sensing, 62(1): 1–22.
    Abstract

    Abstract

    We present a practical approach to inter-compare a range of candidate digital elevation models (DEMs) based on pre-defined criteria and statistically sound ranking approach. The presented approach integrates the randomized complete block design (RCBD) into a novel framework for DEMs comparison. The method presented provides a flexible, statistically sound and customizable tool for evaluating the quality of any raster - in this case a DEM - by means of a ranking approach, which takes into account a confidence level, and can use both quantitative and qualitative criteria. The users can design their own criteria for the quality evaluation in relation to their specific needs. The application of the RCBD method to rank six 1” global DEMs, considering a wide set of study sites, covering different morphological and landcover settings, highlights the potentialities of the approach. We used a suite of criteria relating to the differences in the elevation, slope, and roughness distributions compared to reference DEMs aggregated from 1-5 m lidar-derived DEMs. Results confirmed significant superiority of CopDEM 1” and its derivative FABDEM as the overall best 1” global DEMs. They are slightly better than ALOS, and clearly outperform NASADEM and SRTM, which are in turn much better than ASTER
    BibTeX

    BibTeX

                        @article{Bielski2024,
  author = {Bielski, C. and López-Vázquez, C. and Grohmann, C. H. and Guth, P. L. and Hawker, L. and Gesch, D. and Trevisani, S. and {Herrera-Cruz}, V. and Riazanoff, S. and Corseaux, A. and Reuter, H. I. and Strobl, P.},
  journal = {IEEE Transactions on Geoscience & Remote Sensing},
  title = {{Novel approach for ranking DEMs: Copernicus DEM improves one arc second open global topography}},
  year = {2024},
  number = {1},
  pages = {1-22},
  volume = {62},
  access = {Open Access},
  doi = {10.1109/TGRS.2024.3368015},
  kind = {journal},
  oalink = {https://doi.org/10.1109/TGRS.2024.3368015},
  url = {https://doi.org/10.1109/TGRS.2024.3368015}
}
    Open Access

  • Coelho*, R. D., Viana, C. D., Dias**, V. C., & Grohmann, C. H. 2024. Landslides of the 2023 summer event of São Sebastião, southeastern Brazil: spatial dataset. Brazilian Journal of Geology, 54: e20240006.
    Abstract

    Abstract

    In February 2023, anomalously heavy rainfall caused widespread landslides in the coastal city of São Sebastião (Southeastern Brazil). This report describes the first version of a landslide inventory dataset for this event. The inventory is based primarily on the analysis of aerial images with 10 cm spatial resolution acquired immediately after the event, as well as archive images from Google Earth and PlanetScope. Delimitation of the landslides relied on a comparison of the images along with the area’s Digital Surface Model (DSM) and hydrography. The spatial vector dataset (shapefile and geopackage) contains points representing the landslide’s crowns, polygons indicating the affected area, and is openly available in Zenodo.
    BibTeX

    BibTeX

                        @article{Coelho2024bjgeo,
  author = {Coelho*, R. D. and Viana, C. D. and Dias**, V. C. and Grohmann, C. H.},
  journal = {{Brazilian Journal of Geology}},
  title = {{Landslides of the 2023 summer event of São Sebastião, southeastern Brazil: spatial dataset}},
  year = {2024},
  volume = {54},
  access = {Open Access},
  doi = {10.1590/2317-4889202420240006},
  kind = {journal},
  pages = {e20240006},
  language = {en},
  oalink = {https://doi.org/10.1590/2317-4889202420240006},
  url = {https://doi.org/10.1590/2317-4889202420240006}
}
    Open Access

  • Dias*, H. C., & Grohmann, C. H. 2024. Standards for shallow landslide identification in Brazil: Spatial trends and inventory mapping. Journal of South American Earth Sciences, 135: 104805.
    Abstract

    Abstract

    Mapping shallow landslide inventories represents the initial stage in conducting susceptibility, vulnerability, and risk analyses. The identification of areas with a history of landslides, both past and current events, enables the detection of spatio-temporal patterns and facilitates the evaluation of morphological and geological factors. Shallow landslides are frequent in Brazil, especially along the Brazilian south and southeastern coast. Despite their high frequency, the recognition and mapping of these landslides are inadequately developed due to the absence of established mapping guidelines. This resulted of limited investments by Brazilian authorities in initiatives aimed at preventing and mitigating mass movements. Thus, the aim of this study is to establish criteria for the recognition and mapping of shallow landslides in Brazil and to evaluate their applicability in susceptibility analysis. The study area is located in Itaóca and Apiaímunicipalities, São Paulo state, southeastern Brazil. Criteria for shallow landslide recognition were created based on the absence of vegetation, shape and size, drainage network distance, slope position, planar rupture surface, and altimetric variation. An extensive landslide interpretation was carried out using a set of free access Google Earth Pro images. Susceptibility maps were developed through a bivariate statistical approach, specifically the Informative Value method. The outcomes demonstrated that incorporating the deposition area in susceptibility studies for shallow landslides led to modifications in the final mapping, a slight reduction in validation rates, and, notably, an impact on the influence of the thematic variable curvature. Therefore, it is clear that the criteria used for landslide inventory maps have a significant effect on the accuracy of susceptibility maps and should be a critical consideration in studies related to this subject.
    BibTeX

    BibTeX

                        @article{Dias2024_jsaes,
  author = {Dias*, H. C. and Grohmann, C. H.},
  journal = {Journal of South American Earth Sciences},
  title = {{Standards for shallow landslide identification in Brazil: Spatial trends and inventory mapping}},
  year = {2024},
  issn = {0895-9811},
  pages = {104805},
  volume = {135},
  access = {Paywalled},
  doi = {10.1016/j.jsames.2024.104805},
  publisher = {Elsevier},
  url = {http://dx.doi.org/10.1016/j.jsames.2024.104805},
  kind = {journal}
}
    Paywalled

  • Ferreira, A. T. S., Grohmann, C. H., Ribeiro, M. C. H., Santos, M. S. T., de Oliveira, R. C., & Siegle, E. 2024. Beach surface model construction: A strategy approach with structure from motion-multi-view stereo. MethodsX, 12: 102694.
    Abstract

    Abstract

    In contrast to traditional beach profiling methods like topographic surveys and GNSS, which pose significant challenges in terms of cost and time, this research underscores the efficiency, cost-effectiveness, and simplicity of terrestrial photogrammetry employing the Structure from Motion-Multi View Stereo (SfM-MVS) method. Notably, this approach enables the utilization of commonplace devices such as smartphones for data capture. The methodology integrates a 12-megapixel camera for image acquisition, processed through Agisoft Metashape Professional software, and validated for accuracy using ground control points (GCPs) and checkpoints (CKPs) calibrated via GNSS. Findings reveal substantial disparities in positional accuracy according to the Ground Control Points distribution. The study underscores the critical role of strategically distributing GCPs and CKPs in effectively mapping coastal areas, thus affirming the potential of SfM-MVS as a powerful and accessible tool for coastal monitoring initiatives. This research contributes significantly to advancing the efficiency and accessibility of beach profile monitoring, offering invaluable insights for researchers and practitioners in coastal management and environmental conservation efforts.
    BibTeX

    BibTeX

                        @article{Ferreira2024,
  title = {{Beach surface model construction: A strategy approach with structure from motion-multi-view stereo}},
  volume = {12},
  issn = {2215-0161},
  url = {http://dx.doi.org/10.1016/j.mex.2024.102694},
  doi = {10.1016/j.mex.2024.102694},
  journal = {MethodsX},
  publisher = {Elsevier BV},
  author = {Ferreira, A. T. S. and Grohmann, C. H. and Ribeiro, Maria Carolina Hernandez and Santos, Marcelo Soares Teles and de Oliveira, Regina Célia and Siegle, Eduardo},
  year = {2024},
  month = jun,
  pages = {102694},
  access = {Open Access},
  oalink = {https://doi.org/10.1016/j.mex.2024.102694},
  owner = {guano},
  kind = {journal}
}
    Open Access

  • Ferreira, A. T. S., Wetter, N. U., Ribeiro, M. C. H., Esteves, L. S., Dias, A. J. G., Grohmann, C. H., Kuznetsova, M., de Freitas, A. Z., de Oliveira, R. C., & Siegle, E. 2024. Recognizing microplastic deposits on sandy beaches by altimetric positioning, μ-Raman spectroscopy and multivariate statistical models. Marine Pollution Bulletin, 209: 117025.
    Abstract

    Abstract

    Understanding the extent and implications of microplastic (MP) pollution along the São Paulo State coastline in southeastern Brazil is crucial, considering the significant environmental burden imposed by industrial and port activities in this region. This research aims to understand the complex dynamics of MP deposition on sandy beaches, which poses severe environmental risks to coastal ecosystems, marine organisms, and humans. Using a comprehensive five-step methodology—geodetic surveys, sediment collection, μ-RAMAN spectrometry for polymer identification, and multivariate statistical models—we analyzed the distribution of MPs across six coastal compartments (C1 to C6). The results (128 samples from 34 profiles) revealed relatively high MP concentrations in C3 and C2, which were likely influenced by local human activities. Various shape types of MPs, such as pellets, fragments, and fibers, present distinct distribution patterns based on their physical properties and emission sources. Fragments and foam were the most prevalent, accounting for 42% and 35%, respectively, of the 1026 MP items identified in total. Statistical analyses revealed significant correlations between MP types and beach morphometric features, with higher elevations correlating with increased MP concentrations, particularly for pellets and foam. Beaches with intermediate slopes (0.05<tanβ <0.12) and openings to the southern quadrant tended to accumulate more MPs. This research underscores the importance of tailored management strategies that consider the unique characteristics of each coastal region to mitigate the impacts of MP pollution. The findings contribute to the development of targeted monitoring and environmental remediation strategies, which are crucial for protecting marine life and maintaining the integrity of coastal environments.
    BibTeX

    BibTeX

                        @article{Ferreira2024marpolbul,
  title = {{Recognizing microplastic deposits on sandy beaches by altimetric positioning, μ-Raman spectroscopy and multivariate statistical models}},
  journal = {Marine Pollution Bulletin},
  volume = {209},
  pages = {117025},
  year = {2024},
  issn = {0025-326X},
  doi = {https://doi.org/10.1016/j.marpolbul.2024.117025},
  url = {https://www.sciencedirect.com/science/article/pii/S0025326X24010026},
  access = {Paywalled},
  kind = {journal},
  author = {Ferreira, A. T. S. and Wetter, Niklaus Ursus and Ribeiro, Maria Carolina Hernandez and Esteves, Luciana Slomp and Dias, António José Guerner and Grohmann, C. H. and Kuznetsova, Maria and de Freitas, Anderson Zanardi and de Oliveira, Regina Célia and Siegle, Eduardo},
  keywords = {Marine litter, Plastic particles, Coastal deposition, Extreme events, GNSS}
}
    Paywalled

  • Guth, P. L., Trevisani, S., Grohmann, C. H., Lindsay, J., Gesch, D., Hawker, L., & Bielski, C. 2024. Ranking of 10 Global One-Arc-Second DEMs Reveals Limitations in Terrain Morphology Representation. Remote Sensing, 16(17).
    Abstract

    Abstract

    At least 10 global digital elevation models (DEMs) at one-arc-second resolution now cover Earth. Comparing derived grids, like slope or curvature, preserves surface spatial relationships, and can be more important than just elevation values. Such comparisons provide more nuanced DEM rankings than just elevation root mean square error (RMSE) for a small number of points. We present three new comparison categories: fraction of unexplained variance (FUV) for grids with continuous floating point values; accuracy metrics for integer code raster classifications; and comparison of stream channel vector networks. We compare six global DEMs that are digital surface models (DSMs), and four edited versions that use machine learning/artificial intelligence techniques to create a bare-earth digital terrain model (DTM) for different elevation ranges: full Earth elevations, under 120 m, under 80 m, and under 10 m. We find edited DTMs improve on elevation values, but because they do not incorporate other metrics in their training they do not improve overall on the source Copernicus DSM. We also rank 17 common geomorphic-derived grids for sensitivity to DEM quality, and document how landscape characteristics, especially slope, affect the results. None of the DEMs perform well in areas with low average slope compared to reference DTMs aggregated from 1 m airborne lidar data. This indicates that accurate work in low-relief areas grappling with global climate change should use airborne lidar or very high resolution image-derived DTMs.
    BibTeX

    BibTeX

                        @article{Guth2024ranking10dems,
  author = {Guth, Peter L. and Trevisani, Sebastiano and Grohmann, C. H. and Lindsay, John and Gesch, Dean and Hawker, Laurence and Bielski, Conrad},
  title = {{Ranking of 10 Global One-Arc-Second DEMs Reveals Limitations in Terrain Morphology Representation}},
  journal = {Remote Sensing},
  volume = {16},
  year = {2024},
  number = {17},
  issn = {2072-4292},
  access = {Open Access},
  doi = {10.3390/rs16173273},
  kind = {journal},
  oalink = {https://doi.org/10.3390/rs16173273},
  url = {https://www.mdpi.com/2072-4292/16/17/3273}
}
    Open Access

  • Pinaya, J. L. D., Pitman, N. C. A., Cruz, F. W., Akabane, T. K., Lopez, M. del C. S., Pereira-Filho, A. J., Grohmann, C. H., Reis, L. S., Rodrigues, E. S. F., Ceccantini, G. C. T., & De Oliveira, P. E. 2024. Humid and cold forest connections in South America between the eastern Andes and the southern Atlantic coast during the LGM. Scientific Reports, 14(1).
    Abstract

    Abstract

    The presence of Andean plant genera in moist forests of the Brazilian Atlantic Coast has been historically hypothesized as the result of cross-continental migrations starting at the eastern Andean flanks. Here we test hypotheses of former connections between the Atlantic and Andean forests by examining distribution patterns of selected cool and moist-adapted plant arboreal taxa present in 54 South American pollen records of the Last Glacial Maximum (LGM), ca. 19–23 cal ka, known to occur in both plant domains. Pollen taxa studied include Araucaria, Drimys, Hedyosmum, Ilex, Myrsine, Podocarpus, Symplocos, Weinmannia, Myrtaceae, Ericaceae and Arecaceae. Past connectivity patterns between these two neotropical regions as well as individual ecological niches during the LGM were explored by cluster analysis of fossil assemblages and modern plant distributions. Additionally, we examined the ecological niche of 137 plant species with shared distributions between the Andes and coastal Brazil. Our results revealed five complex connectivity patterns for South American vegetation linking Andean, Amazonian and Atlantic Forests and one disjunction distribution in southern Chile. This study also provides a better understanding of vegetation cover on the large and shallow South American continental shelf that was exposed due to a global sea level drop.
    BibTeX

    BibTeX

                        @article{Pinaya2024,
  author = {Pinaya, Jorge Luiz Diaz and Pitman, Nigel C. A. and Cruz, Francisco William and Akabane, Thomas K. and Lopez, Maria del Carmen Sanz and Pereira-Filho, Augusto José and Grohmann, C. H. and Reis, Luiza Santos and Rodrigues, Erika S. Ferreira and Ceccantini, Gregório C. T. and De Oliveira, Paulo Eduardo},
  journal = {Scientific Reports},
  title = {{Humid and cold forest connections in South America between the eastern Andes and the southern Atlantic coast during the LGM}},
  year = {2024},
  issn = {2045-2322},
  number = {1},
  volume = {14},
  access = {Open Access},
  doi = {10.1038/s41598-024-51763-8},
  oalink = {http://dx.doi.org/10.1038/s41598-024-51763-8},
  publisher = {Springer Science and Business Media LLC},
  url = {http://dx.doi.org/10.1038/s41598-024-51763-8},
  kind = {journal}
}
    Open Access

  • Scussel, C., de Lima, S. C., Mendes, A. L. M., Santander, M. B., Ferreira, A. T. S., Zocche, J. J., Grohmann, C. H., & Quintanilha, J. A. 2024. Dinâmica espaço-temporal na cobertura e uso da terra em uma bacia hidrográfica no sul do Brasil: análise baseada em sensoriamento remoto e big data. Revista de Geociências do Nordeste, 10: 124–137.
    Abstract

    Abstract

    A exploração dos recursos naturais é alvo de preocupação, visto que o crescimento econômico interfere no equilíbrio ambiental. Este estudo analisou as mudanças espaço-temporais na cobertura e uso da terra (CUT) na Bacia Hidrográfica do Rio Araranguá (BHRA), sul de Santa Catarina, Brasil, no período de 2016-2023. Foram utilizadas imagens do satélite Sentinel 2A, selecionadas as bandas RGB, NIR e SWIR 1 e, aplicados os índices EVI2, MNDWI e NDBI, o que resultou na seleção de oito classes de CUT. As imagens orbitais foram classificadas por meio de rotinas de programação no Google Earth Engine (GEE) e a validação foi realizada a partir da obtenção de dados gerados pela plataforma. Os resultados evidenciaram acurácia geral de 93% para os dois anos. A classe Floresta Nativa foi a mais representativa e aumentou cerca de 1,62% nos últimos sete anos. Área Construída foi a classe que mais cresceu, e a classe Pastagem/Vegetação Herbácea teve redução de 5,6%. Os resultados revelaram mudanças tênues na paisagem, mantendo áreas com florestas nativas e incremento da expansão urbana. Esses dados podem auxiliar as políticas públicas e as tomadas de decisão no gerenciamento do território da bacia com viés para a conservação e preservação dos recursos naturais.
    BibTeX

    BibTeX

                        @article{Scussel2024,
  title = {{Dinâmica espaço-temporal na cobertura e uso da terra em uma bacia hidrográfica no sul do Brasil: análise baseada em sensoriamento remoto e big data}},
  volume = {10},
  url = {https://periodicos.ufrn.br/revistadoregne/article/view/34886},
  doi = {10.21680/2447-3359.2024v10n1ID34886},
  journal = {Revista de Geociências do Nordeste},
  author = {Scussel, C. and {de Lima}, S.C. and Mendes, A. L. M. and Santander, M. B. and Ferreira, A. T. S. and Zocche, J. J. and Grohmann, C. H. and Quintanilha, J. A.},
  year = {2024},
  pages = {124–137},
  access = {Open Access},
  oalink = {https://periodicos.ufrn.br/revistadoregne/article/view/34886},
  owner = {guano},
  kind = {journal}
}
    Open Access

  • Vancine, M. H., Muylaert, R. L., Niebuhr, B. B., Oshima, J. E. F., Tonetti, V., Bernardo, R., Angelo, C., Rosa, M. R., Grohmann, C. H., & Ribeiro, M. C. 2024. The Atlantic Forest of South America: Spatiotemporal dynamics of the vegetation and implications for conservation. Biological Conservation, 291(110499).
    Abstract

    Abstract

    The Atlantic Forest in South America (AF) is one of the world’s most diverse and threatened biodiversity hotspots. We present a comprehensive spatiotemporal analysis of 34 years of AF landscape change between 1986 and 2020. We analyzed landscape metrics of forest vegetation only (FV), forest plus other natural vegetation (NV), and the sensitivity of metrics to linear infrastructure. Currently, the AF remnants comprise 22.9% of FV and 36.3% of NV, an extent that has decreased by 2.4% and 3.6% since 1986, respectively. Linear infrastructure affected mainly the largest fragments (>500,000 ha), reducing their size by 56%-94%. The period before 2005 was characterized by loss of FV and NV (3% and 3.43%) and decrease in the number of FV and NV fragments (8.6% and 8.1%). In contrast, after 2005 the vegetation stabilized, with a recovery of 1 Mha of FV (0.6%) and an increase in the number of fragments, due in part to environmental policies. However, the AF is still a highly fragmented domain: 97% of the vegetation fragments are small (<50 ha), with an average fragment size between 16.3 and 25.5 ha; 50–60% of the vegetation is <90 m from its edges, and the isolation between fragments is high (250–830 m). Protected areas and indigenous territories cover only 10% of the AF vegetation, and most vegetation lies are >10 km in these areas. Our work highlights the importance of legislation and analysis of landscape dynamics to help future conservation and restoration programs for biodiversity in the Atlantic Forest.
    BibTeX

    BibTeX

                        @article{Vancine2024,
  author = {Vancine, M. H. and Muylaert, R. L. and Niebuhr, B. B. and Oshima, J. E. F. and Tonetti, V. and Bernardo, R. and Angelo, C. and Rosa, M. R. and Grohmann, C. H. and Ribeiro, M. C.},
  journal = {Biological Conservation},
  title = {{The Atlantic Forest of South America: Spatiotemporal dynamics of the vegetation and implications for conservation}},
  year = {2024},
  number = {110499},
  volume = {291},
  access = {Open Access},
  creationdate = {2024-02-28T16:59:23},
  doi = {10.1016/j.biocon.2024.110499},
  modificationdate = {2024-02-28T17:01:41},
  oalink = {https://doi.org/10.1016/j.biocon.2024.110499},
  owner = {guano},
  url = {https://doi.org/10.1016/j.biocon.2024.110499},
  kind = {journal}
}
    Open Access

  • Ribeiro Rios, I. H., Weyll SantAnna, M., Quintanilha, J. A., & Grohmann, C. H. 2024. Avaliação da precisão da classificação de cobertura do solo na identificação de áreas potenciais para o aparecimento de criadouros de Aedes aegypt. Revista Brasileira de Geografia, 68(2): 23–44.
    Abstract

    Abstract

    Uma ferramenta bastante utilizada atualmente é a classificação de cobertura do solo, em vários campos da ciência. Com o avanço das técnicas de sensoriamento remoto, pode-se utilizar resoluções melhores de imagens, e com isso a acurácia da classificação melhora. Este trabalho utiliza imagens do satélite World-View 3 para a classificação supervisionada de dois bairros da cidade de Campinas, São Paulo. As classes foram divididas em Árvore, Grama, Asfalto, Sombra, Cimento, Piscina/Água, Solo exposto e Telhados 1, 2 e 3. Foram averiguadas a matriz de erro, o coeficiente Kappa e a acurácia sob três diferentes algoritmos: Mínima Distância, Máxima Verossimilhança e Random Forest. De forma geral, o algoritmo de destaque foi o de Máxima Verossimilhança, tendo acurácias gerais maiores que 90%.
    BibTeX

    BibTeX

                        @article{RibeiroRios2024,
  title = {{Avalia\c{c}ão da precisão da classifica\c{c}ão de cobertura do solo na identifica\c{c}ão de áreas potenciais para o aparecimento de criadouros de Aedes aegypt}},
  volume = {68},
  issn = {0034-723X},
  url = {http://dx.doi.org/10.21579/issn.2526-0375_2023_n2_23-44},
  doi = {10.21579/issn.2526-0375_2023_n2_23-44},
  number = {2},
  journal = {Revista Brasileira de Geografia},
  publisher = {Tikinet Edicao Ltda. - EPP},
  author = {{Ribeiro Rios}, Israel Henrique and Weyll SantAnna, Maryly and Quintanilha, Jose Alberto and Grohmann, C. H.},
  year = {2024},
  month = apr,
  pages = {23–44},
  access = {Open Access},
  oalink = {https://doi.org/10.21579/issn.2526-0375_2023_n2_23-44},
  owner = {guano},
  kind = {journal}
}
    Open Access

2023

  • Affonso*, A. A., Mandai, S. S., Portella, T. P., Quintanilha, J. A., Conti, L. A., & Grohmann, C. H. 2023. A Comparison between Supervised Classification Methods: Study Case on Land Cover Change Detection Caused by a Hydroelectric Complex Installation in the Brazilian Amazon. Sustainability, 15(2).
    Abstract

    Abstract

    The Volta Grande do Xingu (VGX) in the Amazon Forest of Brazil was chosen to analyze the land use and land cover changes (LULCC) from 2000 to 2017, with the aim of assessing the most suitable classification method for the area. Three parametric (Mahalanobis distance, maximum likelihood and minimum distance) and three non-parametric (neural net, random forest and support vector machine) classification algorithms were tested in two Landsat scenes. The accuracy assessment was evaluated through a confusion matrix. Change detection of the landscape was analyzed through the post-classification comparison method. While maximum likelihood was more capable of highlighting errors in individual classes, support vector machine was slightly superior when compared with the other non-parametric options, these being the most suitable classifiers within the scope of this study. The main changes detected in the landscape were from forest to agro-pasture, from forest/agro-pasture to river, and from river to non-river, resulting in rock exposure. The methodology outlined in this research highlights the usefulness of remote sensing tools in follow-up observations of LULCC in the study area (with the possibility of application to the entire Amazon rainforest). Thus, it is possible to carry out adaptive management that aims to minimize unforeseen or underestimated impacts in previous stages of environmental licensing.
    BibTeX

    BibTeX

                        @article{Affonso2023,
  author = {Affonso*, Alynne Almeida and Mandai, Silvia Sayuri and Portella, Tatiana Pineda and Quintanilha, José Alberto and Conti, Luis Américo and Grohmann, Carlos Henrique},
  journal = {Sustainability},
  title = {{A Comparison between Supervised Classification Methods: Study Case on Land Cover Change Detection Caused by a Hydroelectric Complex Installation in the Brazilian Amazon}},
  year = {2023},
  issn = {2071-1050},
  number = {2},
  volume = {15},
  access = {Open Access},
  article-number = {1309},
  doi = {10.3390/su15021309},
  kind = {journal},
  oalink = {http://dx.doi.org/10.3390/su15021309}
}
    Open Access

  • Dias**, V. C., Dias*, H. C., & Grohmann, C. H. 2023. Rainfall-induced debris flows and shallow landslides in Ribeira Valley, Brazil: Main characteristics and inventory mapping. (M. Pirulli, A. Leonardi, & F. Vagnon, Eds.)E3S Web of Conferences, 415: 05003.
    Abstract

    Abstract

    Debris flows are one of Brazil’s most frequent mass movement processes, triggered by extreme rainfall events and initial volume provided by shallow landslides. Despite the recurrence of catastrophic occurrences, Brazil still lacks basic data containing the main characteristics of previous events. In this way, this research aimed to make a morphometric characterization of the event and to provide debris-flow and shallow landslides inventories. For the morphometric analysis, a Digital Elevation Model (DEM) was used. For the inventory map of debris flow runout and shallow landslides scars, a post-event free access image from Google Earth Pro and satellite images from RapidEye were used. The results show that debris flows had two main flows that affected different areas of the city of Itaóca. Also, one single shallow landslide contributed as initial volume to the debris flows that reach the city downtown, demonstrating the importance of entrainment. Shallow landslides analysis shows its concentration in slopes between 20.1 – 30°, with orientation South and Southeast, elevation between 600 – 800m, and in concave curvatures. The results helped to better understand debris flows in Brazil, highlighting their relationship with the occurrence of shallow landslides as one of the main triggering factors. Those data are crucial to mitigation action of possible new events.
    BibTeX

    BibTeX

                        @article{Dias2023_dfhm8,
  author = {Dias**, V. C. and Dias*, H. C. and Grohmann, C. H.},
  journal = {E3S Web of Conferences},
  title = {{Rainfall-induced debris flows and shallow landslides in Ribeira Valley, Brazil: Main characteristics and inventory mapping}},
  year = {2023},
  issn = {2267-1242},
  pages = {05003},
  volume = {415},
  access = {Open Access},
  doi = {10.1051/e3sconf/202341505003},
  editor = {Pirulli, M. and Leonardi, A. and Vagnon, F.},
  modificationdate = {2024-02-28T16:25:00},
  oalink = {http://dx.doi.org/10.1051/e3sconf/202341505003},
  publisher = {EDP Sciences},
  url = {http://dx.doi.org/10.1051/e3sconf/202341505003},
  kind = {journal}
}
    Open Access

  • Dias*, H. C., Hölbling, D., Dias**, V. C., & Grohmann, C. H. 2023. Application of Object-Based Image Analysis for Detecting and Differentiating between Shallow Landslides and Debris Flows. GI_Forum, 11: 34–44.
    Abstract

    Abstract

    Mass movement mapping is essential for susceptibility, vulnerability and risk assessments. Various mapping approaches based on Earth observation (EO) data have been used to identify different types of hazards. Object-based image analysis (OBIA) has been employed for EO-based landslide mapping worldwide. The development and application of efficient methods for recognition and mapping are essential to create standards for landslide inventory mapping, notably in Brazil where landslides are a frequent natural hazard. This study aims to detect landslide features and differentiate them into shallow landslides and debris flows using a semi-automated OBIA approach. RapidEye satellite images (5 m) were analysed and the Normalized Difference Vegetation Index (NDVI) was calculated. A Digital Elevation Model (DEM) (12.5 m) and its derived products were integrated into the analysis to support the OBIA landslide mapping. The results show that the method is suitable for the recognition of this type of hazard and are potentially of use for local stakeholders and decision-makers in disaster management.
    BibTeX

    BibTeX

                        @article{Dias2023_giforum,
  author = {Dias*, H. C. and H{\"o}lbling, D. and Dias**, V. C. and Grohmann, C. H.},
  journal = {GI\_Forum},
  title = {{Application of Object-Based Image Analysis for Detecting and Differentiating between Shallow Landslides and Debris Flows}},
  year = {2023},
  pages = {34--44},
  volume = {11},
  access = {Open Access},
  doi = {10.1553/giscience2023_01_s34},
  kind = {journal},
  modificationdate = {2023-06-28T16:07:46},
  oalink = {https://doi.org/10.1553/giscience2023_01_s34}
}
    Open Access

  • Dias*, H. C., Hölbling, D., & Grohmann, C. H. 2023. Rainfall-Induced Shallow Landslide Recognition and Transferability Using Object-Based Image Analysis in Brazil. Remote Sensing, 15: 5137.
    Abstract

    Abstract

    Landslides are among the most frequent hazards in Latin America and the world. In Brazil, they occur every year and cause economic and social loss. Landslide inventories are essential for assessing susceptibility, vulnerability, and risk. Over the decades, a variety of mapping approaches have been employed for the detection of landslides using Earth observation (EO) data. Object-based image analysis (OBIA) is a widely recognized method for mapping landslides and other morphological features. In Brazil, despite the high frequency of landslides, methods for inventory construction are poorly developed. The aim of this study is to semi-automatically recognize shallow landslides in Itaóca (Brazil) and evaluate the transferability of the approach within different areas in Brazil. RapidEye satellite images (5 m) and the derived normalized difference vegetation index (NDVI), as well as a digital elevation model (DEM) (12.5 m) and morphological data, were integrated into the classification. The results show that the method is suitable for the recognition of this type of hazard in Brazil. The overall accuracy was 89%. The main challenges were the identification of small landslides and the exact delineation of scars. The findings validate the applicability of the approach in Brazil, although additional adjustments to the primary rule set might lead to better results.
    BibTeX

    BibTeX

                        @article{Dias2023_obia,
  author = {Dias*, H. C. and H{\"o}lbling, D. and Grohmann, C. H.},
  journal = {Remote Sensing},
  title = {{Rainfall-Induced Shallow Landslide Recognition and Transferability Using Object-Based Image Analysis in Brazil}},
  year = {2023},
  pages = {5137},
  volume = {15},
  access = {Open Access},
  doi = {10.3390/rs15215137},
  kind = {journal},
  modificationdate = {2023-10-27T16:07:46},
  oalink = {https://doi.org/10.3390/rs15215137}
}
    Open Access

  • Ferreira**, A. T. S., de Oliveira, R. C., Ribeiro, M. C. H., Grohmann, C. H., & Siegle, E. 2023. Coastal Dynamics Analysis Based on Orbital Remote Sensing Big Data and Multivariate Statistical Models. Coasts, 3(3): 160–174.
    Abstract

    Abstract

    As the interface between land and water, coastlines are highly dynamic and intricately tied to the sediment budget. These regions have a high functional diversity and require enlightened management to preserve their value for the future. In this study we assess changes to the São Paulo State (SE Brazil) coastline over the last 36 years. The study innovatively employs big data remote sensing techniques and multivariate statistical models to evaluate and generate erosion/accretion rates (1985–2021) relative to beach orientation and slope. Shoreline change rates have been obtained for sandy beaches at 485 one-kilometer-spaced transects. Our findings capture the complexity and heterogeneity of the analyzed coastline, at a regional and local scale. No association was found between shoreline changes and beach face orientation. Nonetheless, a dependency relationship was found between dissipative beaches with moderate to high accretion. Beaches facing south, with relative stability, were prone to sediment accumulation. Locations with slow accretion, like sandy spits and tombolo-protected beaches, were associated with dissipative beaches with moderate to high accretion. The southeast-oriented beaches are more prone to erosion due to storm waves from the south. Results provide a broad, fast, and relatively low-cost methodology that can be used in any sandy beach context, bringing essential information for coastal management and decision-making related to the use and occupation of the coastal zones.
    BibTeX

    BibTeX

                        @article{Ferreira2023,
  author = {Ferreira**, A. T. S. and de Oliveira, Regina Célia and Ribeiro, Maria Carolina Hernandez and Grohmann, C. H. and Siegle, Eduardo},
  journal = {Coasts},
  title = {{Coastal Dynamics Analysis Based on Orbital Remote Sensing Big Data and Multivariate Statistical Models}},
  year = {2023},
  issn = {2673-964X},
  number = {3},
  pages = {160--174},
  volume = {3},
  access = {Open Access},
  creationdate = {2023-06-29T12:22:33},
  doi = {10.3390/coasts3030010},
  kind = {journal},
  modificationdate = {2023-07-27T13:32:27},
  oalink = {http://dx.doi.org/10.3390/coasts3030010},
  owner = {guano}
}
    Open Access

  • Garcia*, G. P. B., Soares*, L. P., Espadoto, M., & Grohmann, C. H. 2023. Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework. International Journal of Remote Sensing, 44(7): 2168–2195.
    Abstract

    Abstract

    Landslides are destructive and recurrent natural disasters on steep slopes and represent a risk to lives and properties. Knowledge of relict landslides’ location is vital to understand their mechanisms, update inventory maps and improve risk assessment. However, relict landslide mapping is complex in tropical regions covered with rainforest vegetation. A new CNN approach is proposed for semi-automatic detection of relict landslides, which uses a dataset generated by a k-means clustering algorithm and has a pre-training step. The weights computed in the pre-training are used to fine-tune the CNN training process. A comparison between the proposed and standard approaches is performed using CBERS-4A WPM images. Three CNNs for semantic segmentation are used (U-Net, FPN, Linknet) with two augmented datasets. A total of 42 combinations of CNNs are tested. Values of precision and recall were very similar between the combinations tested. Recall was higher than 75% for every combination, but precision values were usually smaller than 20%. False positives (FP) samples were addressed as the cause for these low precision values. Predictions of the proposed approach were more accurate and correctly detected more landslides. This work demonstrates that there are limitations for detecting relict landslides in areas covered with rainforest, mainly related to similarities between the spectral response of pastures and deforested areas with Gleichenella sp. ferns, commonly used as an indicator of landslide scars.
    BibTeX

    BibTeX

                        @article{Garcia2023,
  author = {Garcia*, G. P. B. and Soares*, L. P. and Espadoto, M. and Grohmann, C. H.},
  journal = {International Journal of Remote Sensing},
  title = {{Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework}},
  year = {2023},
  number = {7},
  pages = {2168-2195},
  volume = {44},
  access = {Paywalled},
  doi = {10.1080/01431161.2023.2197130},
  kind = {journal},
  preprint = {https://arxiv.org/abs/2208.02693},
  publisher = {Taylor \& Francis}
}
    Paywalled Preprint (Open Access)

  • Grohmann, C. H., Viana*, C. D., Garcia*, G. P. B., & Albuquerque*, R. W. 2023. Remotely Piloted Aircraft‐based automated vertical surface survey. MethodsX, 10: 101982.
    Abstract

    Abstract

    Remotely Piloted Aircrafts (RPAs) are commonly used as a platform for collecting images which can be processed with Structure from Motion-Multi View Stereo (SfM-MVS) to generate 3D mod- els. However, mobile applications for mapping planning are not designed for image acquisition of vertical surfaces, such as quarry walls or large cliffs, leaving the user to a manual flight operation, which does not ensure optimal overlap between images. Here we describe a workflow, based on the Litchi App, for automated RPA missions designed to acquire images of vertical surfaces or structures.
    BibTeX

    BibTeX

                        @article{Grohmann2023mex,
  author = {Grohmann, C. H. and Viana*, C. D. and Garcia*, G. P. B. and Albuquerque*, R. W.},
  journal = {MethodsX},
  title = {{Remotely Piloted Aircraft‐based automated vertical surface survey}},
  year = {2023},
  pages = {101982},
  volume = {10},
  access = {Open Access},
  doi = {10.1016/j.mex.2022.101982},
  kind = {journal},
  oalink = {http://dx.doi.org/10.1016/j.mex.2022.101982}
}
    Open Access

  • Hartwig, M. E., Bottacin, C. D., & Grohmann, C. H. 2023. Motion maps derived from optical satellite images: the case study of the East Anatolian Fault (Türkiye). Brazilian Journal of Geology, 53: e20230042.
    Abstract

    Abstract

    On February 6, 2023, two earthquakes shook the southern and central Türkiye causing significant loss of human life and devastating many cities. These are related to the active East Anatolian Fault (EAF). In this study, the digital image correlation (DIC) technique is applied to map the coseismic displacements. For that, a pair of scenes from the Sentinel-2 satellite acquired before and after the seismic events was used. The results showed that the methodological approach can be effectively used to map and monitor large-scale geological phenomena and can assist in seismic risk assessment.
    BibTeX

    BibTeX

                        @article{Hartwig2023_bjgeo,
  author = {Hartwig, M. E. and Bottacin, C. D. and Grohmann, C. H.},
  journal = {{Brazilian Journal of Geology}},
  title = {{Motion maps derived from optical satellite images: the case study of the East Anatolian Fault (Türkiye)}},
  year = {2023},
  pages = {e20230042},
  volume = {53},
  access = {Open Access},
  doi = {10.1590/2317-4889202320230042},
  kind = {journal},
  language = {en},
  oalink = {https://doi.org/10.1590/2317-4889202320230042},
  url = {https://doi.org/10.1590/2317-4889202320230042}
}
    Open Access

  • Hartwig, M. E., Tonete, R., Simplício, F., Ribeiro, J. C., Moreira, C. A., & Grohmann, C. H. 2023. Diretrizes para o mapeamento geológico em disciplinas de graduação. Terrae Didatica, 19: e023012.
    Abstract

    Abstract

    Introdução e Objetivo. O objetivo deste artigo é compilar os principais conhecimentos teóricos relacionados a disciplina ou atividades de mapeamento geológico, que exigem que os estudantes desenvolvam habilidades para integrar informações de diversas outras áreas do saber, bem como lidar com escalas de espaço e de tempo muito variadas. Metodologia. Uma vez que o referencial teórico se encontra fragmentado na literatura, este artigo pretende suprir esta lacuna. Resultados. São descritos a abordagem clássica de mapeamento geológico, conceitos de escala de mapeamento, aspectos de segurança em campo, algumas ferramentas tecnológicas atualmente disponíveis e orientações sobre a elaboração de relatório geológico, seguido de um estudo de caso em uma área didática em que ocorrem rochas metassedimentares com estratos inclinados. Conclusão. Espera-se que as informações apresentadas possam auxiliar professores e estudantes de graduação em Geologia envolvidos nesta disciplina/atividade.
    BibTeX

    BibTeX

                        @article{Hartwig2023_terrae,
  author = {Hartwig, Marcos Eduardo and Tonete, Renan and Simplício, Fábio and Ribeiro, José Carlos and Moreira, César Augusto and Grohmann, Carlos Henrique},
  journal = {Terrae Didatica},
  title = {{Diretrizes para o mapeamento geológico em disciplinas de graduação}},
  year = {2023},
  month = jun,
  pages = {e023012},
  volume = {19},
  access = {Open Access},
  doi = {10.20396/td.v19i00.8672766},
  kind = {journal},
  oalink = {http://dx.doi.org/10.20396/td.v19i00.8672766},
  place = {Campinas,SP},
  url = {https://periodicos.sbu.unicamp.br/ojs/index.php/td/article/view/8672766}
}
    Open Access

  • Silva, J. G. M., Quintanilha, J. A., Grohmann, C. H., Costa, D. R., M., C. J. D., & Silva, J. M. S. 2023. Distribuição da Biomassa vegetal e sequestro de carbono na sub-bacia do Rio Pirajibu no município de Sorocaba/SP. Revista Brasileira de Geografia Física, 16: 1647–1656.
    Abstract

    Abstract

    A estimativa de biomassa, com base em dados de sensoriamento desempenha um importante papel a respeito da quantificação da matéria vegetal, tanto de florestas primárias quanto de florestas secundárias ou fragmentadas. Por isso, o objetivo central deste trabalho é mostrar a distribuição da biomassa vegetal e o fluxo de carbono na sub-bacia do rio Pirajibu em Sorocaba/SP. Como objetivo específico classificar os níveis de biomassa de acordo com o algoritmo de aprendizado de máquina Random Forest. As classes escolhidas para o treinamento foram: “Muito alta biomassa”, “alta biomassa”, “média biomassa”, “baixa biomassa” e "muito baixa biomassa”. Foram obtidas 100 amostras de treinamento. A classificação supervisionada foi realizada pelo método Random Forest, com 10 árvores de decisão e 5.000 de variáveis que foram selecionadas e treinadas. A classe muito alta biomassa foi encontrada em 4.833,34 ha (10,52%), a classe alta foi identificada em 8.425,94 ha (18,34%), a classe média biomassa em 12.026,28 ha (26,18%), a baixa biomassa em 11.881,05 ha (25,87%) e muito baixa biomassa em 8.753,80 ha (19,06%). Foi avaliada a acurácia da classificação, a previsão de acurácia total chegou em 84%. Para o índice CO2Flux, se obteve os valores de -0,43 para as áreas sem vegetação (área urbana), valores na faixa de 0,19 a 0,23 representam áreas de pastagem mais degradadas e com solo exposto, já os maiores valores de fluxo de CO2 > 0,32 mostram uma maior concentração de estoque de carbono, são regiões com vegetação robusta e saudável. A distribuição da biomassa para as classes muito alta, alta e média pode ser ainda maior considerando outros reservatórios de carbono, como os reservatórios abaixo do solo.
    BibTeX

    BibTeX

                        @article{Silva2023,
  author = {Silva, J. G. M. and Quintanilha, J. A. and Grohmann, C. H. and Costa, D. R. and M., Costa J. D. and Silva, J. M. S.},
  journal = {Revista Brasileira de Geografia Física},
  title = {{Distribuição da Biomassa vegetal e sequestro de carbono na sub-bacia do Rio Pirajibu no município de Sorocaba/SP}},
  year = {2023},
  pages = {1647-1656},
  volume = {16},
  access = {Open Access},
  doi = {10.26848/rbgf.v16.3.p1647-1656},
  kind = {journal},
  oalink = {http://dx.doi.org/10.26848/rbgf.v16.3.p1647-1656},
  url = {https://periodicos.ufpe.br/revistas/rbgfe/article/view/256662}
}
    Open Access

  • Sousa*, A. M., Viana, C. D., Garcia*, G. P. B., & Grohmann, C. H. 2023. Monitoring Geological Risk Areas in the City of São Paulo Based on Multi-Temporal High-Resolution 3D Models. Remote Sensing, 15(12).
    Abstract

    Abstract

    This paper presents a multi-temporal comparison of high-resolution 3D digital models from two urban areas susceptible to landslides in three time periods. The study areas belong to the São Paulo landslide risk mapping database and are named "CEU Paz" (CP) and "Parque Santa Madalena" (PSM). For each area, a lidar digital surface model (DSM) (2017) and two structure-from-motion multi-view stereo DSMs (2019 and 2022) built from drone imagery were combined using raster algebra to generate three digital surface models of differences (DoDs). The DoDs were able to highlight changes in vegetation cover and buildings, which are important characteristics for evaluating geological risks in an urban context. Still, they were unable to highlight changes in the ground surface. The results demonstrate that the method greatly supports monitoring, allowing for greater detail and ease of detecting large-scale changes. Even with promising results, this technique should be understood as one more tool for mapping risk areas without replacing fieldwork.
    BibTeX

    BibTeX

                        @article{Sousa2023,
  author = {Sousa*, Amanda Mendes and Viana, Camila Duelis and Garcia*, Guilherme Pereira Bento and Grohmann, C. H},
  journal = {Remote Sensing},
  title = {{Monitoring Geological Risk Areas in the City of São Paulo Based on Multi-Temporal High-Resolution 3D Models}},
  year = {2023},
  issn = {2072-4292},
  number = {12},
  volume = {15},
  access = {Open Access},
  article-number = {3028},
  doi = {10.3390/rs15123028},
  kind = {journal},
  oalink = {http://dx.doi.org/10.3390/rs15123028},
  url = {https://www.mdpi.com/2072-4292/15/12/3028}
}
    Open Access

2022

  • Albuquerque*, R. W., Matsumoto, M. H., Calmon, M., Ferreira, M. E., Vieira, D. L. M., & Grohmann, C. H. 2022. A protocol for canopy cover monitoring on forest restoration projects using low-cost drones. Open Geosciences, 14(1): 921–929.
    Abstract

    Abstract

    Remotely piloted aircrafts (RPAs) are becoming well-known for monitoring forest restoration (FR). Canopy cover percentage on a restoration site is a major indicator for the early phases of FR. We present a protocol to evaluate canopy cover using low-cost RPA and a friendly computational environment. We tested the protocol in six FR projects in the Brazilian Atlantic Forest. After processing the images automatically to generate the digital surface model and the digital terrain model, the canopy cover is measured in QGIS by considering height thresholds in the canopy height model. The results had F1 values higher than 0.9, which confirms a robust methodology that does not require specific computer science or remote sensing skills. Thus, low-cost RPA proved to be accurate and user-friendly in measuring the canopy cover, which improves monitoring during most FR stages. Such finding plays an important role in FR policies and future works must study a user-friendly protocol for measuring tree height via low-cost drones.
    BibTeX

    BibTeX

                        @article{Albuquerque2022og,
  author = {Albuquerque*, R. W. and Matsumoto, M. H. and Calmon, M. and Ferreira, M. E. and Vieira, D. L. M. and Grohmann, C. H.},
  journal = {Open Geosciences},
  title = {{A protocol for canopy cover monitoring on forest restoration projects using low-cost drones}},
  year = {2022},
  number = {1},
  pages = {921--929},
  volume = {14},
  access = {Open Access},
  creationdate = {2022-10-10T14:36:42},
  doi = {10.1515/geo-2022-0406},
  kind = {journal},
  modificationdate = {2022-10-10T14:38:04},
  oalink = {https://doi.org/10.1515/geo-2022-0406},
  owner = {guano}
}
    Open Access

  • Albuquerque*, R. W., Vieira, D. L. M., Ferreira, M. E., Soares, L. P., Olsen, S. I., Araujo, L. S., Vicente, L. E., Tymus, J. R. C., Balieiro, C. P., Matsumoto, M. H., & Grohmann, C. H. 2022. Mapping Key Indicators of Forest Restoration in the Amazon Using a Low-Cost Drone and Artificial Intelligence. Remote Sensing, 14(4).
    Abstract

    Abstract

    Monitoring the vegetation structure and species composition of forest restoration (FR) in the Brazilian Amazon is critical to ensuring its long-term benefits. Since remotely piloted aircrafts (RPAs) associated with deep learning (DL) are becoming powerful tools for vegetation monitoring, this study aims to use DL to automatically map individual crowns of Vismia (low resilience recovery indicator), Cecropia (fast recovery indicator), and trees in general (this study refers to individual crowns of all trees regardless of species as All Trees). Since All Trees can be accurately mapped, this study also aims to propose a tree crown heterogeneity index (TCHI), which estimates species diversity based on: the heterogeneity attributes/parameters of the RPA image inside the All Trees results; and the Shannon index measured by traditional fieldwork. Regarding the DL methods, this work evaluated the accuracy of the detection of individual objects, the quality of the delineation outlines and the area distribution. Except for Vismia delineation (IoU = 0.2), DL results presented accurate values in general, as F1 and IoU were always greater than 0.7 and 0.55, respectively, while Cecropia presented the most accurate results: F1 = 0.85 and IoU = 0.77. Since All Trees results were accurate, the TCHI was obtained through regression analysis between the canopy height model (CHM) heterogeneity attributes and the field plot data. Although TCHI presented robust parameters, such as p-value < 0.05, its results are considered preliminary because more data are needed to include different FR situations. Thus, the results of this work show that low-cost RPA has great potential for monitoring FR quality in the Amazon, because Vismia, Cecropia, and All Trees can be automatically mapped. Moreover, the TCHI preliminary results showed high potential in estimating species diversity. Future studies must assess domain adaptation methods for the DL results and different FR situations to improve the TCHI range of action.
    BibTeX

    BibTeX

                        @article{Albuquerque2022rs,
  author = {Albuquerque*, Rafael Walter and Vieira, Daniel Luis Mascia and Ferreira, Manuel Eduardo and Soares, Lucas Pedrosa and Olsen, Søren Ingvor and Araujo, Luciana Spinelli and Vicente, Luiz Eduardo and Tymus, Julio Ricardo Caetano and Balieiro, Cintia Palheta and Matsumoto, Marcelo Hiromiti and Grohmann, Carlos Henrique},
  journal = {Remote Sensing},
  title = {{Mapping Key Indicators of Forest Restoration in the Amazon Using a Low-Cost Drone and Artificial Intelligence}},
  year = {2022},
  issn = {2072-4292},
  number = {4},
  volume = {14},
  access = {Open Access},
  article-number = {830},
  doi = {10.3390/rs14040830},
  kind = {journal},
  modificationdate = {2022-10-10T14:36:12},
  oalink = {http://dx.doi.org/10.3390/rs14040830},
  timestamp = {2022-02-13-22-06},
  url = {https://www.mdpi.com/2072-4292/14/4/830}
}
    Open Access

  • Garcia*, G. P. B., Grohmann, C. H., Viana*, C. D., & Gomes*, E. 2022. Using terrestrial laser scanner and RPA-based-photogrammetry for surface analysis of a landslide: a comparison. Bulletin of Geodetic Sciences, 28(03).
    Abstract

    Abstract

    Gravitational mass movements are natural destructive processes that can cause enormous losses. New technologies such as laser scanning and remotely piloted aircrafts (RPA) along with Structure-from-Motion-Multi-View Stereo (SfM-MVS) photogrammetry technique provides an alternative to conventional mapping methods. A hill with a landslide located in the city of Cunha - SP was surveyed by terrestrial laser scanner (TLS) and RPA-based SfM-MVS. SfM-MVS point cloud covers a larger area and point distribution is more homogeneous while TLS points have an uneven distribution. Small distances between point clouds were predominant in the vicinity of the landslide and greater differences only occurred on the scene edges. DEMs (Digital Elevation Model) were generated from both point clouds. The volume of material displaced from the upper part (scarp) of the landslide was 70.05 m3 for the TLS DEM and 77.15 m3 for the SfM-MVS while the volume of material accumulated in the lower part (body) of the landslide was 66.85 m3 and 62.68 m3 respectively. Slope and roughness were calculated and showed very similar results for TLS and SfM-MVS.
    BibTeX

    BibTeX

                        @article{Garcia2022bcg,
  author = {Garcia*, G. P. B. and Grohmann, C. H. and Viana*, C. D. and Gomes*, E.},
  journal = {Bulletin of Geodetic Sciences},
  title = {{Using terrestrial laser scanner and RPA-based-photogrammetry for surface analysis of a landslide: a comparison}},
  year = {2022},
  number = {03},
  volume = {28},
  access = {Open Access},
  creationdate = {2022-10-10T14:36:42},
  doi = {10.1590/s1982-21702022000300016},
  kind = {journal},
  modificationdate = {2022-10-10T14:39:16},
  oalink = {http://dx.doi.org/10.1590/s1982-21702022000300016},
  owner = {guano}
}
    Open Access

  • Meena, S. R., Soares*, L. P., Grohmann, C. H., van Westen, C., Bhuyan, K., Singh, R. P., Floris, M., & Catani, F. 2022. Landslide detection in the Himalayas using machine learning algorithms and U-Net. Landslides, 19.
    Abstract

    Abstract

    Event-based landslide inventories are essential sources to broaden our understanding of the causal relationship between triggering events and the occurring landslides. Moreover, detailed inventories are crucial for the succeeding phases of landslide risk studies like susceptibility and hazard assessment. The openly available inventories differ in the quality and completeness levels. Event-based landslide inventories are created based on manual interpretation, and there can be significant differences in the mapping preferences among interpreters. To address this issue, we used two different datasets to analyze the potential of U-Net and machine learning approaches for automated landslide detection in the Himalayas. Dataset-1 is composed of five optical bands from the RapidEye satellite imagery. Dataset-2 is composed of the RapidEye optical data, and ALOS-PALSAR derived topographical data. We used a small dataset consisting of 239 samples acquired from several training zones and one testing zone to evaluate our models’ performance using the fully convolutional U-Net model, Support Vector Machines (SVM), K-Nearest Neighbor, and the Random Forest (RF). We created thirty-two different maps to evaluate and understand the implications of different sample patch sizes and their effect on the accuracy of landslide detection in the study area. The results were then compared against the manually interpreted inventory compiled using fieldwork and visual interpretation of the RapidEye satellite image. We used accuracy assessment metrics such as F1-score, Precision, Recall, and Mathews Correlation Coefficient (MCC). In the context of the Nepali Himalayas, employing RapidEye images and machine learning models, a viable patch size was investigated. The U-Net model trained with 128×128 pixel patch size yields the best MCC results (76.59%) with the dataset-1. The added information from the digital elevation model benefited the overall detection of landslides. However, it does not improve the model’s overall accuracy but helps differentiate human settlement areas and river sand bars. In this study, the U-Net achieved slightly better results than other machine learning approaches. Although it can depend on architecture of the U-Net model and the complexity of the geographical features in the imagery, the U-Net model is still preliminary in the domain of landslide detection. There is very little literature available related to the use of U-Net for landslide detection. This study is one of the first efforts of using U-Net for landslide detection in the Himalayas. Nevertheless, U-Net has the potential to improve further automated landslide detection in the future for varied topographical and geomorphological scenes.
    BibTeX

    BibTeX

                        @article{Meena2022,
  author = {Meena, Sansar Raj and Soares*, Lucas Pedrosa and Grohmann, Carlos H. and van Westen, Cees and Bhuyan, Kushanav and Singh, Ramesh P. and Floris, Mario and Catani, Filippo},
  journal = {Landslides},
  title = {{Landslide detection in the Himalayas using machine learning algorithms and U-Net}},
  year = {2022},
  issn = {1612-5118},
  volume = {19},
  access = {Paywalled},
  doi = {10.1007/s10346-022-01861-3},
  kind = {journal},
  url = {https://doi.org/10.1007/s10346-022-01861-3}
}
    Paywalled

  • Sawakuchi, A. O., Schultz, E. D., Pupim, F. N., Bertassoli, D. J., Souza, D. F., Cunha, D. F., Mazoca, C. E., Ferreira, M. P., Grohmann, C. H., Wahnfried, I. D., Chiessi, C. M., Cruz, F. W., Almeida, R. P., & Ribas, C. C. 2022. Rainfall and sea level drove the expansion of seasonally flooded habitats and associated bird populations across Amazonia. Nature Communications, 13(1): 4945.
    Abstract

    Abstract

    Spatial arrangement of distinct Amazonian environments through time and its effect on specialized biota remain poorly known, fueling long-lasting debates about drivers of biotic diversification. We address the late Quaternary sediment deposition that assembled the world’s largest seasonally flooded ecosystems. Genome sequencing was used to reconstruct the demographic history of bird species specialized in either early successional vegetation or mature floodplain forests. Sediment deposition that built seasonally flooded habitats accelerated throughout the Holocene (last 11,700 years) under sea level highstand and intensification of the South American Monsoon, at the same time as global increases in atmospheric methane concentration. Bird populations adapted to seasonally flooded habitats expanded due to enlargement of Amazonian river floodplains and archipelagos. Our findings suggest that the diversification of the biota specialized in seasonally flooded habitats is coupled to sedimentary budget changes of large rivers, which rely on combined effects of sea level and rainfall variations.
    BibTeX

    BibTeX

                        @article{Sawakuchi2022,
  author = {Sawakuchi, A. O. and Schultz, E. D. and Pupim, F. N. and Bertassoli, D. J. and Souza, D. F. and Cunha, D. F. and Mazoca, C. E. and Ferreira, M. P. and Grohmann, C. H. and Wahnfried, I. D. and Chiessi, C. M. and Cruz, F. W. and Almeida, R. P. and Ribas, C. C.},
  journal = {Nature Communications},
  title = {{Rainfall and sea level drove the expansion of seasonally flooded habitats and associated bird populations across Amazonia}},
  year = {2022},
  issn = {2041-1723},
  number = {1},
  pages = {4945},
  volume = {13},
  access = {Open Access},
  creationdate = {2022-10-10T14:36:42},
  doi = {10.1038/s41467-022-32561-0},
  kind = {journal},
  modificationdate = {2022-10-10T14:37:43},
  oalink = {http://dx.doi.org/10.1038/s41467-022-32561-0},
  owner = {guano},
  refid = {Sawakuchi2022}
}
    Open Access

  • Soares*, L. P., Dias*, H. C., Garcia*, G. P. B., & Grohmann, C. H. 2022. Landslide Segmentation with Deep Learning: Evaluating Model Generalization in Rainfall-Induced Landslides in Brazil. Remote Sensing, 14(9): 2237.
    Abstract

    Abstract

    Automatic landslide mapping is crucial for a fast response in a disaster scenario and improving landslide susceptibility models. Recent studies highlighted the potential of deep learning methods for automatic landslide segmentation. However, only a few works discuss the generalization capacity of these models to segment landslides in areas that differ from the ones used to train the models. In this study, we evaluated three different locations to assess the generalization capacity of these models in areas with similar and different environmental aspects. The model training consisted of three distinct datasets created with RapidEye satellite images, Normalized Vegetation Index (NDVI), and a digital elevation model (DEM). Here, we show that larger patch sizes (128 × 128 and 256 × 256 pixels) favor the detection of landslides in areas similar to the training area, while models trained with smaller patch sizes (32 × 32 and 64 × 64 pixels) are better for landslide detection in areas with different environmental aspects. In addition, we found that the NDVI layer helped to balance the model’s results and that morphological post-processing operations are efficient for improving the segmentation precision results. Our research highlights the potential of deep learning models for segmenting landslides in different areas and is a starting point for more sophisticated investigations that evaluate model generalization in images from various sensors and resolutions.
    BibTeX

    BibTeX

                        @article{Soares2022,
  author = {Soares*, L. P. and Dias*, H. C. and Garcia*, G. P. B. and Grohmann, C. H.},
  journal = {Remote Sensing},
  title = {{Landslide Segmentation with Deep Learning: Evaluating Model Generalization in Rainfall-Induced Landslides in Brazil}},
  year = {2022},
  number = {9},
  pages = {2237},
  volume = {14},
  access = {Open Access},
  doi = {10.3390/rs14092237},
  kind = {journal},
  modificationdate = {2022-10-10T16:30:38},
  oalink = {http://dx.doi.org/10.3390/rs14092237},
  timestamp = {2022-01-08-13-52}
}
    Open Access

  • Xu, G., Wang, Y., Wang, L., Soares*, L. P., & Grohmann, C. H. 2022. Feature-based constraint deep CNN method for mapping rainfall-induced landslides in remote regions with mountainous terrain: An application to Brazil. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15.
    Abstract

    Abstract

    Landslides have caused tremendous damage to human lives and property safety. However, the complex environment of mountain landslides and the vegetation coverage around landslides make it difficult to identify landslides quickly and efficiently using high-resolution images. To address this challenge, this article presents a feature-based constraint deep U-Net (FCDU-Net) method to detect rainfall-induced mountainous landslides. Usually, the vegetation in the landslide area is severely damaged, and the vegetation coverage can indirectly reflect the spatial extent of the landslide. Meanwhile, the texture features of high-resolution images can characterize the surface environment of landslide hazards to a certain extent. We first introduce auxiliary features of normalized difference vegetation index and gray-level co-occurrence matrix into the proposed method to further improve the detection performance. Then, to minimize the information redundancy of these features and the image, we combine Relief-F and Deep U-Net to screen the optimal features to effectively identify accurate and detailed landslide boundaries. Compared with traditional semantic segmentation methods, the FCDU-Net method can capture fine-grained details in high-resolution images and produce more accurate segmentation results. We conducted experiments by applying the proposed method and other most popular semantic segmentation methods to a high-resolution RapidEye image in Rio de Janeiro, Brazil. The results demonstrate that the FCDU-Net method can achieve better landslide detection results than the other semantic segmentation methods, and the evaluation measures of Precision, F1 score, and mean Intersection-over-Union are as high as 88.87%, 81.17%, and 83.19%, respectively. Furthermore, we quantitatively analyze the effect of the convolution input window size on the performance of FCDU-Net in detecting landslides. We believe that FCDU-Net can serve as a reliable tool for fast and accurate regional landslide hazard surveys.
    BibTeX

    BibTeX

                        @article{Xu2022,
  author = {Xu, Guosen and Wang, Yi and Wang, Lizhe and Soares*, Lucas Pedrosa and Grohmann, Carlos Henrique},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  title = {{Feature-based constraint deep CNN method for mapping rainfall-induced landslides in remote regions with mountainous terrain: An application to Brazil}},
  year = {2022},
  volume = {15},
  access = {Paywalled},
  creationdate = {2022-03-25T09:46:35},
  doi = {10.1109/JSTARS.2022.3161383},
  kind = {journal},
  modificationdate = {2022-03-25T09:52:51},
  url = {https://doi.org/10.1109/JSTARS.2022.3161383}
}
    Paywalled

2021

  • Albuquerque*, R. W., Ferreira, M. E., Olsen, S. I., Tymus, J. R. C., Balieiro, C. P., Mansur, H., Moura, C. J. R., Costa, J. V. S., Branco, M. R. C., & Grohmann, C. H. 2021. Forest Restoration Monitoring Protocol with a Low-Cost Remotely Piloted Aircraft: Lessons Learned from a Case Study in the Brazilian Atlantic Forest. Remote Sensing, 13(12).
    Abstract

    Abstract

    Traditional forest restoration (FR) monitoring methods employ spreadsheets and photos taken at the ground level. Since remotely piloted aircraft (RPA) generate a panoramic high resolution and georeferenced view of the entire area of interest, this technology has high potential to improve the traditional FR monitoring methods. This study evaluates how low-cost RPA data may contribute to FR monitoring of the Brazilian Atlantic Forest by the automatic remote measurement of Tree Density, Tree Height, Vegetation Cover (area covered by trees), and Grass Infestation. The point cloud data was processed to map the Tree Density, Tree Height, and Vegetation Cover parameters. The orthomosaic was used for a Random Forest classification that considered trees and grasses as a single land cover class. The Grass Infestation parameter was mapped by the difference between this land cover class (which considered trees and grasses) and the Vegetation Cover results (obtained by the point cloud data processing). Tree Density, Vegetation Cover, and Grass Infestation parameters presented F_scores of 0.92, 0.85, and 0.64, respectively. Tree Height accuracy was indicated by the Error Percentage considering the traditional fieldwork and the RPA results. The Error Percentage was equal to 0.13 and was considered accurate because it estimated a 13% shorter height for trees that averaged 1.93 m tall. Thus, this study showed that the FR structural parameters were accurately measured by the low-cost RPA, a technology that contributes to FR monitoring. Despite accurately measuring the structural parameters, this study reinforced the challenge of measuring the Biodiversity parameter via remote sensing because the classification of tree species was not possible. After all, the Brazilian Atlantic Forest is a biodiversity hotspot, and thus different species have similar spectral responses in the visible spectrum and similar geometric forms. Therefore, until improved automatic classification methods become available for tree species, traditional fieldwork remains necessary for a complete FR monitoring diagnostic.
    BibTeX

    BibTeX

                        @article{Albuquerque2021rs,
  author = {Albuquerque*, R. W. and Ferreira, M. E. and Olsen, S. I. and Tymus, J. R. C. and Balieiro, C. P. and Mansur, H. and Moura, C. J. R. and Costa, J. V. S. and Branco, Ma. R. C. and Grohmann, C. H.},
  journal = {Remote Sensing},
  title = {{Forest Restoration Monitoring Protocol with a Low-Cost Remotely Piloted Aircraft: Lessons Learned from a Case Study in the Brazilian Atlantic Forest}},
  year = {2021},
  issn = {2072-4292},
  number = {12},
  volume = {13},
  access = {Open Access},
  article-number = {2401},
  doi = {10.3390/rs13122401},
  kind = {journal},
  modificationdate = {2022-10-10T14:36:16},
  oalink = {http://dx.doi.org/10.3390/rs13122401}
}
    Open Access

  • Dias*, H. C., Gramani, M. F., Grohmann, C. H., Bateira, C., & Vieira, B. C. 2021. Statistical-based shallow landslide susceptibility assessment for a tropical environment: a case study in the southeastern Brazilian coast. Natural Hazards.
    Abstract

    Abstract

    Statistical susceptibility assessment is a common approach applied worldwide for shallow landslide studies. Identification of morphological and geological conditions is essential and still incipient to evaluate the susceptibility of landslide events in the Brazilian territory. This study aimed to develop and compare shallow landslide susceptibility scenarios based on a bivariate statistical evaluation of geological (lithology and structures) and morphological (curvature, elevation, slope, and aspect) factors in Caraguatatuba, northern coast of São Paulo State in Brazil. A compilation of geological factors from published maps was made, and morphological maps were created based on Shuttle Radar Topography Mission (30 m). A bivariate statistical application by the informative value method was used to create four susceptibility scenarios, and the validation was achieved using the area under the curve (AUC). The results indicated that lithology was the more relevant conditioning factor, followed by elevation and slope. The methodology used to determine the susceptibility was efficient (AUC values between 0.809 and 0.841). The susceptibility scenario comparison identified that conditioning factors with the highest informational value generated the most accurate mapping. This indicates that using several conditioning factors does not necessarily generate a better map. This study contributes to shallow landslides research from a methodological perspective, as it is the first analysis of its kind in Serra do Mar Paulista, which are continuously affected by mass movements. Open-source data were chosen to be used, focusing on methodological applicability in other regions of the country, since resources for landslide studies in Brazil are low.
    BibTeX

    BibTeX

                        @article{Dias2021nh,
  author = {Dias*, H. C. and Gramani, M. F. and Grohmann, C. H. and Bateira, C. and Vieira, B. C.},
  journal = {Natural Hazards},
  title = {{Statistical-based shallow landslide susceptibility assessment for a tropical environment: a case study in the southeastern Brazilian coast}},
  year = {2021},
  access = {Paywalled},
  doi = {10.1007/s11069-021-04676-y},
  kind = {journal},
  modificationdate = {2022-10-10T14:55:06},
  owner = {guano},
  timestamp = {2021-05-06-11-29}
}
    Paywalled

  • Dias*, H. C., Hölbling, D., & Grohmann, C. H. 2021. Landslide Susceptibility Mapping in Brazil: A Review. Geosciences, 11(10): 425.
    Abstract

    Abstract

    Landslide susceptibility studies are a common type of landslide assessment. Landslides are one of the most frequent hazards in Brazil, resulting in significant economic and social losses (e.g., deaths, injuries, and property destruction). This paper presents a literature review of susceptibility mapping studies in Brazil and analyzes the methods and input data commonly used. The publications used in this analysis were extracted from the Web of Science platform. We considered the following aspects: location of study areas, year and where the study was published, methods, thematic variables, source of the landslide inventory, and validation methods. The susceptibility studies are concentrated in Brazil’s south and southeast region, with the number of publications increasing since 2015. The methods commonly used are slope stability and statistical models. Validation was performed based on receiver operating characteristic (ROC) curves and area under the curve (AUC). Even though landslide inventories constitute the most critical input data for susceptibility mapping, the criteria used for the creation of landslide inventories are not evident in most cases. The included studies apply various validation techniques, but evaluations with potential users and information on the practical applicability of the results are largely missing.
    BibTeX

    BibTeX

                        @article{Dias2021geosc,
  author = {Dias*, H. C. and H{\"o}lbling, D. and Grohmann, C. H.},
  journal = {Geosciences},
  title = {{Landslide Susceptibility Mapping in Brazil: A Review}},
  year = {2021},
  number = {10},
  pages = {425},
  volume = {11},
  access = {Open Access},
  doi = {10.3390/geosciences11100425},
  kind = {journal},
  oalink = {http://dx.doi.org/10.3390/geosciences11100425},
  timestamp = {2022-03-23-22-20}
}
    Open Access

  • Dias*, H. C., Sandre, L. H., Alarcón, D. A. S., Grohmann, C. H., & Quintanilha, J. A. 2021. Landslide recognition using SVM, Random Forest, and Maximum Likelihood classifiers on high-resolution satellite images: A case study of Itaóca, southeastern Brazil. Brazilian Journal of Geology, 51(4): e20200105.
    Abstract

    Abstract

    Landslide identification is important for understanding their conditioning factors, and for constructing susceptibility, risk, and vulnerability maps. In remote sensing this can be accomplished manually or through classifiers. This study compares three image classifiers (Maximum Likelihood, Random Forest, and Support Vector Machines (SVM)) used in identifying landslides in Itaóca (São Paulo, Brazil). Two datasets were used: a RapidEye-5 (5 m) image and a Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) (12.5 m). Seven pixel-based classifications were produced, two for each classifier and a binary class that identified only landslides and non-landslides. One classification contained five spectral bands (5B), while the other contained six bands (6B) and included the slope derived from the DEM. The results were validated using Kappa index and F1 score. The SVM 6B classification achieved the best results among the validation indices used herein. It identified a landslide area of 399,325 m². The results contribute to landslide mapping in tropical environments using pixel-based classifiers. However, although the SVM classification was successful, only landslides with larger areas were captured by the algorithms, confirming the importance of conducting further analyses using images with finer spatial resolution.
    BibTeX

    BibTeX

                        @article{Dias2021bjg,
  author = {Dias*, H. C. and Sandre, L. H. and Alarcón, D. A. S. and Grohmann, C. H. and Quintanilha, J. A.},
  journal = {Brazilian Journal of Geology},
  title = {{Landslide recognition using SVM, Random Forest, and Maximum Likelihood classifiers on high-resolution satellite images: A case study of Itaóca, southeastern Brazil}},
  year = {2021},
  number = {4},
  pages = {e20200105},
  volume = {51},
  access = {Open Access},
  doi = {10.1590/2317-4889202120200105},
  kind = {journal},
  modificationdate = {2022-10-10T16:30:45},
  oalink = {http://dx.doi.org/10.1590/2317-4889202120200105},
  owner = {guano},
  timestamp = {2022-03-23-22-20}
}
    Open Access

  • Ferreira**, A. T. S., Siegle, E., Ribeiro, M. C. H., Santos, M. S. T., & Grohmann, C. H. 2021. The dynamics of plastic pellets on sandy beaches: a new methodological approach. Marine Environmental Research, 163: 105219.
    Abstract

    Abstract

    Plastic found in the coastal zone is a result of waste mismanagement. This material comes directly from offshore disposal or by fishing debris, other marine activities, and by marine currents and winds, as well as urban drainage systems and estuaries. Specifically, in the case of plastic pellets, which are spheres with 2–5 mm that constitute the raw material for the manufacture of plastic products, the Santos Port and the plastic factories in Cubatão city (Brazilian southeastern coast), are considered the main local sources for the São Paulo state coast. Consequently, the beaches most affected by this pollutant are those near Santos estuary, like Enseada do Guarujá beach. However, some questions are still open, such as: what are the mechanisms which control the pellets deposition, and which locations are most favorable for deposition on the beach? To answer these questions, a four-step research was carried out at Enseada beach: 1) Plastic pellets geodetic survey based on GNSS positioning; 2) Beach geomorphometric parameters (altitude, aspect, and slope) derived by Digital Elevation Model (DEM); 3) Strandline altitude estimated through wave climate and tide height; and, 4) Plastic pellets deposition Suitability Index (PSI). The joint analysis of the altimetric, geomorphometric and meteoceanographic aspects showed that the beach areas with altitudes higher than those calculated for the strandline (>2.06 m), slope   3° and facing the same direction of the higher energy waves (157.5–202.5°) were more susceptible to pellet deposition. This indicates that the accumulation of this pollutant on the beach is controlled not only by its physical characteristics, but mainly by storm surge events. Besides, surveys with geodetic reference (fixed, univocal, and relatively stable on time) bring up altimetric information as a result of all interactions and can be compared with other beaches anywhere on the planet — thus contributing to a standardization of the survey methodology.
    BibTeX

    BibTeX

                        @article{Ferreira2021,
  author = {Ferreira**, A. T. S. and Siegle, Eduardo and Ribeiro, Maria Carolina Hernandez and Santos, Marcelo Soares Teles and Grohmann, Carlos H.},
  journal = {Marine Environmental Research},
  title = {{The dynamics of plastic pellets on sandy beaches: a new methodological approach}},
  year = {2021},
  issn = {0141-1136},
  pages = {105219},
  volume = {163},
  access = {Paywalled},
  doi = {10.1016/j.marenvres.2020.105219},
  keywords = {Nurdles, GNSS, Strandline altitude, Extreme events, Storm surge, DEM},
  kind = {journal},
  owner = {guano},
  timestamp = {2021-05-06-11-26}
}
    Paywalled

  • Godoy-Veiga, M., Cintra, B. B. L., Stríkis, N. M., Cruz, F. W., Grohmann, C. H., Santos, M. S., Regev, L., Boaretto, E., Ceccantini, G., & Locosselli, G. M. 2021. The value of climate responses of individual trees to detect areas of climate-change refugia, a tree-ring study in the Brazilian seasonally dry tropical forests. Forest Ecology and Management, 488: 118971.
    Abstract

    Abstract

    Forests worldwide are facing increasingly frequent climate extremes due to global warming. The negative effects of climate change on tropical forests have been extensively reported by both permanent plots and tree-ring studies that targeted forest’s responses to climate. While they focus mostly on community and population levels, the effects of landscape heterogeneity on trees’ sensitivity to climate is often not accounted for, overlooking the diverse responses of individual trees to climate variation. We tested the hypotheses that trees may differ in sensitivity to climate and that some microenvironmental conditions may exert the role of climate-change refugia. We built the first tree-ring chronology of Amburana cearensis trees sampled across a Seasonally Dry Tropical Forest (SDTF) in Brazil. We ensure a robust tree-ring dating using dendrochronological methods and 14C dating of trees inhabiting various conditions characterized here through the seasonality of the local Normalized Difference Vegetation Index. At the population level, the standard tree-ring chronology suggests that tree growth depends on rainfall and temperature, leading to a common conclusion that drier and warmer conditions would impact interannual tree growth in the tropics. However, the cluster analyses revealed groups of individual trees with distinct growth sensitivities to climate. The most sensitive trees were the individuals located in the highly seasonal vegetation of the epikarst, in contrast to the complacent trees (non-sensitive to regular interannual climate variability) inhabiting the less-seasonal vegetation in the deep soil epikarst and valley. Based on these groups of trees, we built two mean chronologies and assessed their climate-growth relationships. In accordance with the individual analysis, the tree-ring chronology of complacent trees showed no association with wet season precipitation and only moderate association with temperature. The areas supporting these complacent trees of A. cearensis in the less seasonal vegetation correspond to a quarter of the entire sampling site. The climate buffering capacity of these refugia may only be compromised in years of climate extremes when all sampled trees share low growth rates during years with anomalous low rainfall and high temperature. Assessing individual’s climate sensitivity is therefore paramount for a comprehensive understanding of the heterogeneous responses of tropical forests to climate change. The hidden individual tree responses in the population can help identify priority areas of management in a rapidly changing environment.
    BibTeX

    BibTeX

                        @article{GodoyVeiga2021,
  author = {Godoy-Veiga, Milena and Cintra, Bruno Barçante Ladvocat and Stríkis, Nicolás Misailidis and Cruz, Francisco Willian and Grohmann, Carlos Henrique and Santos, Matheus Simões and Regev, Lior and Boaretto, Elisabetta and Ceccantini, Gregório and Locosselli, Giuliano Maselli},
  journal = {Forest Ecology and Management},
  title = {{The value of climate responses of individual trees to detect areas of climate-change refugia, a tree-ring study in the Brazilian seasonally dry tropical forests}},
  year = {2021},
  issn = {0378-1127},
  pages = {118971},
  volume = {488},
  access = {Paywalled},
  doi = {10.1016/j.foreco.2021.118971},
  keywords = {Climate change, Dendrochronology, Karst, Microenvironment, Radiocarbon (C), Tropics},
  kind = {journal},
  owner = {guano},
  timestamp = {2021-03-02-14-23}
}
    Paywalled

  • Guth, P. L., Van Niekerk, A., Grohmann, C. H., Muller, J.-P., Hawker, L., Florinsky, I. V., Gesch, D., Reuter, H. I., Herrera-Cruz, V., Riazanoff, S., López-Vázquez, C., Carabajal, C. C., Albinet, C., & Strobl, P. 2021. Digital Elevation Models: Terminology and Definitions. Remote Sensing., 13(18): 3581.
    Abstract

    Abstract

    Digital elevation models (DEMs) provide fundamental depictions of the three-dimensional shape of the Earth’s surface and are useful to a wide range of disciplines. Ideally, DEMs record the interface between the atmosphere and the lithosphere using a discrete two-dimensional grid, with complexities introduced by the intervening hydrosphere, cryosphere, biosphere, and anthroposphere. The treatment of DEM surfaces, affected by these intervening spheres, depends on their intended use, and the characteristics of the sensors that were used to create them. DEM is a general term, and more specific terms such as digital surface model (DSM) or digital terrain model (DTM) record the treatment of the intermediate surfaces. Several global DEMs generated with optical (visible and near-infrared) sensors and synthetic aperture radar (SAR), as well as single/multi-beam sonars and products of satellite altimetry, share the common characteristic of a georectified, gridded storage structure. Nevertheless, not all DEMs share the same vertical datum, not all use the same convention for the area on the ground represented by each pixel in the DEM, and some of them have variable data spacings depending on the latitude. This paper highlights the importance of knowing, understanding and reflecting on the sensor and DEM characteristics and consolidates terminology and definitions of key concepts to facilitate a common understanding among the growing community of DEM users, who do not necessarily share the same background.
    BibTeX

    BibTeX

                        @article{Guth2021,
  author = {Guth, P. L. and Van Niekerk, A. and Grohmann, C. H. and Muller, {J.-P.} and Hawker, L. and Florinsky, I. V. and Gesch, D. and Reuter, H. I. and {Herrera-Cruz}, V. and Riazanoff, S. and {López-Vázquez}, C. and Carabajal, C. C. and Albinet, C. and Strobl, P.},
  journal = {Remote Sensing.},
  title = {{Digital Elevation Models: Terminology and Definitions}},
  year = {2021},
  number = {18},
  pages = {3581},
  volume = {13},
  access = {Open Access},
  doi = {10.3390/rs13183581},
  kind = {journal},
  oalink = {http://dx.doi.org/10.3390/rs13183581},
  timestamp = {2022-03-23-22-20}
}
    Open Access

  • Paz, A., Brown, J. L., Cordeiro, C. L. O., Aguirre-Santoro, J., Assis, C., Amaro, R. C., Raposo do Amaral, F., Bochorny, T., Bacci, L. F., Caddah, M. K., d’Horta, F., Kaehler, M., Lyra, M., Grohmann, C. H., Reginato, M., Silva-Brandão, K. L., Freitas, A. V. L., Goldenberg, R., Lohmann, L. G., Michelangeli, F. A., et al. 2021. Environmental correlates of taxonomic and phylogenetic diversity in the Atlantic Forest. Journal of Biogeography.
    Abstract

    Abstract

    There is little consensus on which environmental variables are best at predicting multiple dimensions of diversity. We ask whether there are common environmental correlates of diversity, despite ecological differences, across nine clades of plants and animals distributed along a single rainforest domain. For that, we compare the environmental correlates of species richness, phylogenetic diversity, and phylogenetic endemism. Taxon:Five clades of plants (Bromelioideae, Miconieae, Bertolonia, Cambessedesieae, and the Fridericia and allies) and four clades of animals (butterlies in the tribe Ithomiini, frogs in the genera Boana and Proceratophrys, and birds in the subfamily Thraupinae). Using curated occurrence localities and phylogenetic data, we generated maps of (a) species richness, (b) phylogenetic diversity, (c) residuals of phylogenetic diversity regressed on species richness, and (d) phylogenetic endemism for all groups. We also compiled a set of 30 environmental descriptors, including records of current temperature and precipitation, climatic stability over time, and topography. Through a machine learning framework, we explored the environmental correlates of each of these diversity measures for each group. The environmental variables used here were strong predictors of diversity for all studied groups. However, models for phylogenetic endemism had lower predictive power. Although patterns of diversity are different among groups, correlates of diversity are consistent across taxa. For both species richness and phylogenetic diversity, current precipitation and precipitation stability over time were consistently ranked among the variables that strongly correlate with diversity patterns. The correlates of phylogenetic endemism were less homogeneous across groups. The results suggest that including climate stability over time is important when predicting diversity measures that reflect historical components. Investigating environmental correlates of diversity for multiple clades and diversity measures in a single geographic area allows for a better understanding of common patterns across taxa. This study shows that environmental conditions, particularly precipitation, are good predictors of the patterns of species richness and phylogenetic diversity-but not phylogenetic endemism-across different Atlantic Forest groups.
    BibTeX

    BibTeX

                        @article{Paz2021,
  author = {Paz, Andrea and Brown, Jason L. and Cordeiro, Carlos L. O. and Aguirre-Santoro, Julian and Assis, Claydson and Amaro, Renata Cecilia and Raposo do Amaral, Fabio and Bochorny, Thuane and Bacci, Lucas F. and Caddah, Mayara K. and d’Horta, Fernando and Kaehler, Miriam and Lyra, Mariana and Grohmann, Carlos Henrique and Reginato, Marcelo and Silva-Brandão, Karina Lucas and Freitas, André Victor Lucci and Goldenberg, Renato and Lohmann, Lúcia G. and Michelangeli, Fabián A. and Miyaki, Cristina and Rodrigues, Miguel T. and Silva, Thiago S. and Carnaval, Ana C.},
  journal = {Journal of Biogeography},
  title = {{Environmental correlates of taxonomic and phylogenetic diversity in the Atlantic Forest}},
  year = {2021},
  access = {Paywalled},
  doi = {10.1111/jbi.14083},
  kind = {journal},
  timestamp = {2021-05-12}
}
    Paywalled

  • Strobl, P. A., Bielski, C., Guth, P. L., Grohmann, C. H., Muller, J.-P., López-Vázquez, C., Gesch, D. B., Amatulli, G., Riazanoff, S., & Carabajal, C. 2021. The Digital Elevation Model Intercomparison eXperiment DEMIX, a community based approach at global DEM benchmarking. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B4-2021: 395–400.
    BibTeX

    BibTeX

                        @article{Strobl2021,
  author = {Strobl, P. A. and Bielski, C. and Guth, P. L. and Grohmann, C. H. and Muller, J.-P. and L\'opez-V\'azquez, C. and Gesch, D. B. and Amatulli, G. and Riazanoff, S. and Carabajal, C.},
  journal = {The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
  title = {{The Digital Elevation Model Intercomparison eXperiment DEMIX, a community based approach at global DEM benchmarking}},
  year = {2021},
  pages = {395--400},
  volume = {XLIII-B4-2021},
  access = {Open Access},
  doi = {10.5194/isprs-archives-XLIII-B4-2021-395-2021},
  kind = {journal},
  oalink = {http://dx.doi.org/10.5194/isprs-archives-XLIII-B4-2021-395-2021},
  timestamp = {2021-07-12-00-03}
}
    Open Access

  • Villaça*, C. V. N., Crósta, A. P., & Grohmann, C. H. 2021. Morphometric Analysis of Pluto’s Impact Craters. Remote Sensing, 13(3): 377.
    Abstract

    Abstract

    The scope of this work is to carry out a morphometric analysis of Pluto’s impact craters. A global Pluto digital elevation model (DEM) with a resolution of 300 m/px, created from stereoscopic pairs obtained by the New Horizons Mission, was used to extract the morphometric data of craters. Pluto’s surface was divided according to different morphometric characteristics in order to analyze possible differences in the impact dynamics and modification rate in each region. A Python code was developed, within the QGIS 3× software environment, to automate the process of crater outlining and collection of morphometric data: diameter (D), depth (d), depth variation, slope of the inner wall (Sw), diameter of the base (Db), and the width of the wall (Ww). Data have been successfully obtained for 237 impact craters on five distinct terrains over the west side of Sputnik Planitia on Pluto. With the collected data, it was possible to observe that craters near the equator (areas 3 and 4) are deeper than craters above 35°N (areas 1 and 2). Craters on the western regions (areas 2 and 3) contain the lowest depth values for a given diameter. The transition diameter from simple to complex crater morphology was found to change throughout the areas of study. Craters within areas 1 and 4 exhibit a transition diameter (Dt) of approximately 10 km, while Dt for craters within areas 3 and 5 the transitions occurs at 15 km approximately. The presence of volatile ices in the north and north-west regions may be the reason for the difference of morphometry between these two terrains of Pluto. Two hypotheses are presented to explain these differences: (1) The presence of volatile ices can affect the formation of craters by making the target surface weaker and more susceptible to major changes (e.g., mass waste and collapse of the walls) during the formation process until its final stage; (2) The high concentration of volatiles can affect the depth of the craters by atmospheric decantation, considering that these elements undergo seasonal decantation and sublimation cycles.
    BibTeX

    BibTeX

                        @article{Villaca2021,
  author = {Villaça*, C. V. N. and Crósta, A. P. and Grohmann, C. H.},
  journal = {Remote Sensing},
  title = {{Morphometric Analysis of Pluto’s Impact Craters}},
  year = {2021},
  pages = {377},
  volume = {13(3)},
  access = {Open Access},
  doi = {10.3390/rs13030377},
  kind = {journal},
  oalink = {http://dx.doi.org/10.3390/rs13030377},
  timestamp = {2021-05-24-12-44}
}
    Open Access

2020

  • Albuquerque*, R. W., Costa, M. O., Ferreira, M. E., Carrero, G. C., & Grohmann, C. H. 2020. Remotely piloted aircraft imagery for automatic tree counting in forest restoration areas: a case study in the Amazon. Journal of Unmanned Vehicle Systems, 8(3): 207–223.
    Abstract

    Abstract

    Throughout the world, restoration of degraded areas (RDA) is not only a global but also a local challenge. In this context, the Brazilian government committed itself to restore 12 million hectares of forests by 2030. RDA monitoring customarily depends on extensive fieldwork to collect data on all individuals planted. As remotely piloted aircrafts (RPAs) can reduce costs and time of fieldwork activities, studying this technology is therefore timely given. A crucial metric for RDA is the number of trees established in the area. Methods using RPAs on automatic tree counting showed good accuracy using algorithms based on the canopy height model (CHM), which is the difference between a digital surface model (DSM) and a digital terrain model (DTM). However, obtaining a DTM demands an extra computational processing step and may require field control points or manually delimiting objects on the surface. The study presented here proposes and evaluates a semi-automated methodology for counting trees directly on DSM in RDAs in the Amazon using RPA coupled with a red–green–blue standard photographic sensor. The DSM method obtained good overall accuracy and F-score indexes, superior to the CHM method for all study areas even when overall accuracy was low for both methods.
    BibTeX

    BibTeX

                        @article{Albuquerque2020,
  author = {Albuquerque*, Rafael Walter and Costa, Marcelo Oliveira and Ferreira, Manuel Eduardo and Carrero, Gabriel Cardoso and Grohmann, Carlos Henrique},
  journal = {Journal of Unmanned Vehicle Systems},
  title = {{Remotely piloted aircraft imagery for automatic tree counting in forest restoration areas: a case study in the Amazon}},
  year = {2020},
  number = {3},
  pages = {207-223},
  volume = {8},
  access = {Paywalled},
  doi = {10.1139/juvs-2019-0024},
  kind = {journal},
  oalink = {http://dx.doi.org/10.1139/juvs-2019-0024},
  owner = {guano},
  timestamp = {2020-12-30-13-56},
  url = {https://doi.org/10.1139/juvs-2019-0024}
}
    Open Access

  • Ciotta, M., Peyerl, D., Barrozo, L., Anna, L. S., dos Santos, E. M., Bermann, C., Grohmann, C., Moretto, E. M., & Tassinari, C. 2020. An overview of carbon capture and storage atlases around the world. Environmental Geosciences, 27(1): 1–8.
    Abstract

    Abstract

    Recent concerns about climate change and greenhouse gas emissions have a clear effect on the energy sector, directly affecting the use of fossil fuels. Companies and countries that depend on these sources of energy (so-called not clean) take actions to search for palliative solutions. The production of atlases of carbon capture and storage (CCS) is one of the collaborative actions that seeks to systematize and organize several aspects involving the use of CCS technologies. This paper focuses on an analytical overview of approaches addressed by five different CCS atlases published by Brazil, the United States, Canada, Mexico, Norway, and South Africa. The five atlases are available for public access; an analytical overview could substantiate the academic and technical decisions related to the future publication of a new atlas for any country and suggests the inclusion of new topics such as social and environmental issues.
    BibTeX

    BibTeX

                        @article{Ciotta2020,
  author = {Ciotta, Mariana and Peyerl, Drielli and Barrozo, Ligia and Anna, Lucy Sant and dos Santos, Edmilson Moutinho and Bermann, C{\'{e}}lio and Grohmann, Carlos and Moretto, Evandro Mateus and Tassinari, Colombo},
  journal = {Environmental Geosciences},
  title = {{An overview of carbon capture and storage atlases around the world}},
  year = {2020},
  number = {1},
  pages = {1--8},
  volume = {27},
  access = {Paywalled},
  doi = {10.1306/eg.10221919015},
  kind = {journal},
  publisher = {American Association of Petroleum Geologists {AAPG}/Datapages},
  timestamp = {2021-12-20-21-13}
}
    Paywalled

  • Gerolin, C. R., Pupim, F. N., Sawakuchi, A. O., Grohmann, C. H., Labuto, G., & Semensatto, D. 2020. Microplastics in sediments from Amazon rivers, Brazil. Science of The Total Environment, 749: 141604.
    Abstract

    Abstract

    We assessed the concentrations of microplastics in sediment samples collected in seven sites from Solimões, Negro and Amazon rivers, upstream and downstream the metropolitan region of Manaus. Concentrations ranged from 417 to 8178 particles/kg of dried sediment (microplastics: 0.063–5mm), and from 0 to 5725 particles/kg of dried sediment (microplastics: 0.063–1mm). The highest microplastics concentrations were observed in samples from shallow water (water depth of 5–7m) sites with lower water velocity of the Negro river surrounding Manaus, and the lowest concentration in farthest sample collected in deeper zone (water depth of 34m) of the Amazon river around 110km downstream Manaus. The variation of microplastics concentrations within the studied area can be related to hydraulic characteristics defining the erosive-depositional behavior of the sampling sites and their proximity to Manaus. Our results represent the first report to show the ubiquitous presence and widespread distribution of microplastics in sediments from the lower Solimões, lower Negro and upper Amazon rivers. Keywords: Microplastics pollution; River sediment; Amazon
    BibTeX

    BibTeX

                        @article{Gerolin2020,
  author = {Gerolin, Cristiano Rezende and Pupim, Fabiano Nascimento and Sawakuchi, André Oliveira and Grohmann, Carlos Henrique and Labuto, Geórgia and Semensatto, Décio},
  journal = {Science of The Total Environment},
  title = {{Microplastics in sediments from Amazon rivers, Brazil}},
  year = {2020},
  issn = {0048-9697},
  pages = {141604},
  volume = {749},
  access = {Paywalled},
  doi = {10.1016/j.scitotenv.2020.141604},
  keywords = {Microplastics pollution, River sediment, Amazon},
  kind = {journal},
  timestamp = {2020-12-30-12-31},
  url = {https://doi.org/10.1016/j.scitotenv.2020.141604}
}
    Paywalled

  • Grohmann, C. H., Garcia*, G. P. B., Affonso*, A. A., & Albuquerque*, R. W. 2020. Aeolian dune modelling from airborne LiDAR, terrestrial LiDAR and Structure from Motion-Multi View Stereo. Computers & Geosciences, 143: 104569.
    Abstract

    Abstract

    Sand dunes are commonly regarded as a challenge to traditional photogrammetry due their homogeneous texture and spectral response. In this work we present an evaluation of Structure from Motion-Multi View Stereo (SfM-MVS) to obtain high-resolution elevation data of coastal sand dunes based on images acquired by Remotely Piloted Aircraft (RPA). A Digital Elevation Model (DEM) of a dunefield in Southern Brazil was generated from 810 photos captured by an RPA at 100m above the takeoff point in February 2019. Image matching was successful in all areas of the survey due the presence of superficial features (footprints and sandboard tracks) and visibility of the sedimentary stratification, highlighted by heavy minerals. Altimetric accuracy of the SfM-MVS DEM was validated by comparison with Terrestrial LiDAR (TLS) data collected during the same fieldwork campaign of the RPA flights. The SfM-MVS DEM was then compared to an Airborne LiDAR (ALS) DEM from October 2010. While the SfM-MVS and TLS DEMs are very similar, without any major difference in elevation or in the reconstruction of topographic features, the SfM-MVS DEM presents a small scale surface roughness not visible in the TLS DEM. The Feature Preserving DEM Smoothing (FPD) algorithm was applied to the SfM-MVS DEM with good results in terms of surface smoothing, but without any significant changes in descriptive statistics and error metrics, with an RMSE of 0.08m and MAE of 0.06m for both the original and the FPD-filtered DEM. Displacement of dune crest lines from the ALS and SfM-MVS DEMs resulted in a migration rate of ≈5m/year between 2010 and 2019, in good agreement with rates derived from satellite images and historical aerial photographs of the same area. Sand volume change in the same period showed a decrease of only 0.2%, which can be related to the installation of sand fences to promote dune stabilization and sand removal from the front of the dune field to keep a road open to vehicles. ALS can cover large areas in little time but its high cost still remains a barrier to wider usage, especially by researchers in developing countries. TLS has an intermediate cost but demands more fieldwork and more processing time. In our case we needed three days for the TLS survey and around three weeks to produce a DEM of ≈80400m2. On the other hand, we were able to cover ≈740900m2 with six flight missions in under three hours, with ≈13h processing time in a medium-range workstation. This makes SfM-MVS a low-cost solution with fast and reliable results for 3D modelling and continuous monitoring of coastal dunes.
    BibTeX

    BibTeX

                        @article{Grohmann2020cageo,
  author = {Grohmann, C. H. and Garcia*, G. P. B. and Affonso*, A. A. and Albuquerque*, R. W.},
  journal = {Computers \& Geosciences},
  title = {{Aeolian dune modelling from airborne LiDAR, terrestrial LiDAR and Structure from Motion-Multi View Stereo}},
  year = {2020},
  pages = {104569},
  volume = {143},
  access = {Paywalled},
  doi = {10.1016/j.cageo.2020.104569},
  kind = {journal},
  owner = {guano},
  preprint = {https://arxiv.org/abs/1910.06186},
  timestamp = {2020-12-30-13-55},
  url = {http://doi.org/10.1016/j.cageo.2020.104569}
}
    Paywalled Preprint (Open Access)

  • Simon, Q., Ledru, M.-P., Sawakuchi, A. O., Favier, C., Mineli, T. D., Grohmann, C. H., Guedes, M., Bard, E., Thouveny, N., Garcia, M., Tachikawa, K., Rodríguez-Zorro, P. A., & ASTER Team. 2020. Chronostratigraphy of a 1.5±0.1Ma composite sedimentary record from Colônia basin (SE Brazil): Bayesian modeling based on paleomagnetic, authigenic 10Be/9Be, radiocarbon and luminescence dating. Quaternary Geochronology, 101081.
    Abstract

    Abstract

    We present a new 52m composite record (COL17c) composed of five sedimentary sequences retrieved from the Colônia basin (Southeastern Brazil). The COL17c record is composed of two main sub-units deposited under different regimes: a peatland above  14m and lacustrine sediments below. Sedimentary description and core scanning (MSCL and XRF) are first used to align individual cores in order to produce a nearly continuous composite record. We then established an original chronological framework based on radiocarbon, paleomagnetic, optically stimulated luminescence (OSL), post-infrared infrared stimulated luminescence at elevated temperature (pIRIR290°C) and authigenic 10Be/9Be dating. We describe the protocols used for each technique and discuss the positive and negative results, as well as their implications for proxy interpretation. In spite of negative results of some techniques, mainly due to the absence of adequate sample material, the multi-proxy approach used is essential to maximize the chances of obtaining a satisfactory age model for this unique continental sedimentary sequence. All valid chronological proxies, comprising three AMS 14C ages, one pIRIR290°C age, two paleomagnetic constraints and eight authigenic 10Be/9Be datum, are integrated within a Bayesian age-depth modeling to produce a 1.5±0.1Ma chronology for the whole COL17c sequence. This age model represents the first long-term chronological estimate of sediments deposition in the Colônia basin. The record allows to refine the age of the Colônia basin formation between 5.3 and 11.2Ma, much older than previously estimated from short sedimentary cores.
    BibTeX

    BibTeX

                        @article{Simon2020,
  author = {Simon, Quentin and Ledru, Marie-Pierre and Sawakuchi, André Oliveira and Favier, Charly and Mineli, Thays D. and Grohmann, Carlos H. and Guedes, Marco and Bard, Edouard and Thouveny, Nicolas and Garcia, Marta and Tachikawa, Kazuyo and Rodríguez-Zorro, Paula A. and {ASTER Team}},
  journal = {Quaternary Geochronology},
  title = {{Chronostratigraphy of a 1.5$\±$0.1Ma composite sedimentary record from Colônia basin (SE Brazil): Bayesian modeling based on paleomagnetic, authigenic 10Be/9Be, radiocarbon and luminescence dating}},
  year = {2020},
  issn = {1871-1014},
  pages = {101081},
  access = {Paywalled},
  doi = {10.1016/j.quageo.2020.101081},
  keywords = {Peat and lake sediments, Paleomagnetism, Luminescence dating, Radiocarbon, Authigenic Be/Be dating, Deep drilling},
  kind = {journal},
  timestamp = {2020-12-30-12-30}
}
    Paywalled

2019

  • Garcia, G. P. B., & Grohmann, C. H. 2019. DEM-based geomorphological mapping and landforms characterization of a tropical karst environment in southeastern Brazil. Journal of South American Earth Sciences, 93: 14–22.
    Abstract

    Abstract

    This work presents a 1:10,000 geomorphological mapping of an area in southeastern Brazil, based on morphometric analysis of Digital Elevation Models (DEMs), while classical methods focus on photo interpretation. Data derived from the DEM include elevation, slope gradient, slope aspect, vertical and horizontal curvatures, amplitude, elongation and wavelength of landforms. These parameters were used along with slope shape and drainage patterns to classify the landforms according to the Land Systems method, in which portions of the landscape that presents similar terrains attributes are grouped from regional (low detail) to local (high detail) scales, respectively, Land Systems, Land Units and Land Elements. The São Paulo State geomorphological map at 1:1,000,000 scale is considered the best reference source, and was compared with the results obtained in this project. Two Land Systems, four Land Units and twelve Land Elements were identified in the study area. In this area, karst terrains are common and easily identified due their characteristics drainage patterns, amplitude and slope gradient. Karst terrain boundaries defined in this study do overlap with those defined in the state map, however the morphometric analysis allowed a better description of the terrain attributes used to define them. The terrain attributes derived automatically from the DEM enabled an accurate geomorphological classification of the study area. The methodology presented in this paper is considered effective for mapping landforms at a detailed scale and can be employed in regional scale mapping using coarser resolution DEMs.
    BibTeX

    BibTeX

                        @article{Garcia2019jsaes,
  author = {Garcia, Guilherme P.B. and Grohmann, Carlos H.},
  journal = {Journal of South American Earth Sciences},
  title = {{DEM-based geomorphological mapping and landforms characterization of a tropical karst environment in southeastern Brazil}},
  year = {2019},
  issn = {0895-9811},
  pages = {14 - 22},
  volume = {93},
  access = {Paywalled},
  doi = {10.1016/j.jsames.2019.04.013},
  keywords = {Geomorphology, Geomorphometry, Karst, Digital Elevation Model, Land systems, Ribeira river},
  kind = {journal},
  preprint = {https://doi.org/10.31223/osf.io/t6y2e},
  timestamp = {2020-12-30-12-34},
  url = {https://doi.org/10.1016/j.jsames.2019.04.013}
}
    Paywalled Preprint (Open Access)

  • Pinaya, J. L. D., Cruz, F. W., Ceccantini, G. C. T., & et al. 2019. Brazilian montane rainforest expansion induced by Heinrich Stadial 1 event. Scientific Reports, 9(1): 17912.
    Abstract

    Abstract

    The origin of modern disjunct plant distributions in the Brazilian Highlands with strong floristic affinities to distant montane rainforests of isolated mountaintops in the northeast and northern Amazonia and the Guyana Shield remains unknown. We tested the hypothesis that these unexplained biogeographical patterns reflect former ecosystem rearrangements sustained by widespread plant migrations possibly due to climatic patterns that are very dissimilar from present-day conditions. To address this issue, we mapped the presence of the montane arboreal taxa Araucaria, Podocarpus, Drimys, Hedyosmum, Ilex, Myrsine, Symplocos, and Weinmannia, and cool-adapted plants in the families Myrtaceae, Ericaceae, and Arecaceae (palms) in 29 palynological records during Heinrich Stadial 1 Event, encompassing a latitudinal range of 30°S to 0°S. In addition, Principal Component Analysis and Species Distribution Modelling were used to represent past and modern habitat suitability for Podocarpus and Araucaria. The data reveals two long-distance patterns of plant migration connecting south/southeast to northeastern Brazil and Amazonia with a third short route extending from one of them. Their paleofloristic compositions suggest a climatic scenario of abundant rainfall and relative lower continental surface temperatures, possibly intensified by the effects of polar air incursions forming cold fronts into the Brazilian Highlands. Although these taxa are sensitive to changes in temperature, the combined pollen and speleothems proxy data indicate that this montane rainforest expansion during Heinrich Stadial 1 Event was triggered mainly by a less seasonal rainfall regime from the subtropics to the equatorial region.
    BibTeX

    BibTeX

                        @article{Pinaya2019,
  author = {Pinaya, Jorge L. D. and Cruz, Francisco W. and Ceccantini, Gregório C. T. and {et al.}},
  journal = {Scientific Reports},
  title = {{Brazilian montane rainforest expansion induced by Heinrich Stadial 1 event}},
  year = {2019},
  issn = {2045-2322},
  month = nov,
  number = {1},
  pages = {17912},
  volume = {9},
  access = {Open Access},
  doi = {10.1038/s41598-019-53036-1},
  etal = {Corrêa, Pedro L. P. and Pitman, Nigel and Vemado, Felipe and Lopez, Maria del Carmen S. and Pereira Filho, Augusto J. and Grohmann, Carlos H. and Chiessi, Cristiano M. and Stríkis, Nicolás M. and Horák-Terra, Ingrid and Pinaya, Walter H. L. and de Medeiros, Vanda B. and Santos, Rudney de A. and Akabane, Thomas K. and Silva, Maicon A. and Cheddadi, Rachid and Bush, Mark and Henrot, Alexandra-Jane and François, Louis and Hambuckers, Alain and Boyer, Frédéric and Carré, Matthieu and Coissac, Eric and Ficetola, Francesco and Huang, Kangyou and Lézine, Anne-Marie and Nourelbait, Majda and Rhoujjati, Ali and Taberlet, Pierre and Sarmiento, Fausto and Abel-Schaad, Daniel and Alba-Sánchez, Francisca and Zheng, Zhuo and De Oliveira, Paulo E.},
  kind = {journal},
  oalink = {http://dx.doi.org/10.1038/s41598-019-53036-1},
  refid = {Pinaya2019},
  timestamp = {2020-12-30-12-34},
  url = {https://doi.org/10.1038/s41598-019-53036-1}
}
    Open Access

  • Pupim, F. N., Kern, A. K., Sawakuchi, A. O., Stern, A., Ribas, C. C., Grohmann, C. H., Chiessi, C. M., J., B. J. D., Cruz, F., Hartmann, G., Savian, J., Cracraft, J., Tamura, L., Almeida, R. P., & Mineli, T. 2019. Chronology of Terra Firme formation in Amazonian lowlands reveals a dynamic Quaternary landscape. Quaternary Science Reviews, 210: 154–163.
    Abstract

    Abstract

    In the Amazonian lowlands, the shift from a large wetland dominated by flooded forests (Várzea) to the modern incised valleys bounded by extensive areas of non-flooded forests (Terra Firme) is considered a key driver of the Amazonian mega-biodiversity. Dating the sedimentary beds covered by Terra Firme forest is crucial to constrain the timing of such landscape change. Here we determined the formation ages of widespread regions of Terra Firme substrates in central Amazonian lowlands combining optically stimulated luminescence (OSL) dating, magnetostratigraphy and palinostratigraphy. Our data suggest a very dynamic fluvial system leading to a recent expansion of Terra Firme forests and retraction of Várzea forests during the late Pleistocene. The shift from an extensively flooded to non-flooded surface resulted from river incision around 45-35 ka, which potentially influenced the distribution of taxa by expanding available habitat, creating new barriers to dispersal, or changing the permeability of previous barriers. Transitions between flooded and non-flooded landscapes may have driven diversification and caused changes to species distributions, contributing to the high species diversity and biogeographic patterns currently found in the region. The late Quaternary evolution of Terra Firme substrates reveals that physical landscape changes play a major role in shaping biotic habitats even in the 104–105 years time-scales.
    BibTeX

    BibTeX

                        @article{Pupim2019,
  author = {Pupim, F. N. and Kern, A. K. and Sawakuchi, A. O. and Stern, A. and Ribas, C. C. and Grohmann, C. H. and Chiessi, C. M. and J., {Bertassoli Jr.} D. and Cruz, F. and Hartmann, G. and Savian, J. and Cracraft, J. and Tamura, L. and Almeida, R. P. and Mineli, T.},
  journal = {Quaternary Science Reviews},
  title = {{Chronology of Terra Firme formation in Amazonian lowlands reveals a dynamic Quaternary landscape}},
  year = {2019},
  issn = {0277-3791},
  pages = {154 - 163},
  volume = {210},
  access = {Paywalled},
  doi = {10.1016/j.quascirev.2019.03.008},
  keywords = {Amazonia, Amazon river, Paleogeography, Fluvial evolution, Quaternary geochronology},
  kind = {journal},
  timestamp = {2020-12-30-12-33},
  url = {https://doi.org/10.1016/j.quascirev.2019.03.008}
}
    Paywalled

2018

  • Grohmann, C. H. 2018. Evaluation of TanDEM-X DEMs on selected Brazilian sites: Comparison with SRTM, ASTER GDEM and ALOS AW3D30. Remote Sensing of Environment, 212: 121–133.
    Abstract

    Abstract

    A first assessment of the TanDEM-X DEMs over Brazilian territory is presented through a comparison with SRTM, ASTER GDEM and ALOS AW3D30 DEMs in seven study areas with distinct geomorphological contexts, vegetation coverage, and land use. Visual analysis and elevation histograms point to a finer effective spatial (i.e., horizontal) resolution of TanDEM-X compared to SRTM and ASTER GDEM. In areas of open vegetation, TanDEM-X lower elevations indicate a deeper penetration of the radar signal. DEMs of differences (DoDs) allowed the identification of issues inherent to the production methods of the analyzed DEMs, such as mast oscillations in SRTM data and mismatch between adjacent scenes in ASTER GDEM and ALOS AW3D30. A systematic difference in elevations between TanDEM-X 12m, TanDEM-X 30m, and SRTM was observed in the steep slopes of the coastal ranges, related to the moving-window process used to resample the 12m data to a 30m pixel size. It is strongly recommended to produce a DoD with SRTM before using ASTER GDEM or ALOS AW3D30 in any analysis, to evaluate if the area of interest is affected by these problems. The DoDs also highlighted changes in land use in the time span between the acquisition of SRTM (2000) and TanDEM-X (2013) data, whether by natural causes or by human interference in the environment. The results show a high level of detail and consistency for TanDEM-X data, indicate that the effective horizontal resolution of SRTM is coarser than the nominal 30m, and highlight the errors in ASTER GDEM and ALOS AW3D30 due to mismatch between adjacent scenes in the photogrammetric process.
    BibTeX

    BibTeX

                        @article{Grohmann2018rse,
  author = {Grohmann, C. H.},
  journal = {Remote Sensing of Environment},
  title = {{Evaluation of TanDEM-X DEMs on selected Brazilian sites: Comparison with SRTM, ASTER GDEM and ALOS AW3D30}},
  year = {2018},
  issn = {0034-4257},
  pages = {121 - 133},
  volume = {212},
  access = {Paywalled},
  doi = {10.1016/j.rse.2018.04.043},
  kind = {journal},
  preprint = {https://arxiv.org/abs/1709.05016},
  timestamp = {2020-12-30-12-36},
  url = {https://doi.org/10.1016/j.rse.2018.04.043}
}
    Paywalled Preprint (Open Access)

  • Viana*, C. D., Grohmann, C. H., Busarello*, M., & Garcia*, G. P. B. 2018. Structural analysis of clastic dikes using Structure from Motion - Multi-View Stereo: a case-study in the Paraná Basin, southeastern Brazil. Brazilian Journal of Geology, 48: 839–852.
    Abstract

    Abstract

    This work presents the development of a three-dimensional (3D) model of an outcrop of the Corumbataí Formation (Permian, Paraná Basin, Brazil) using Structure from Motion - Multi-View Stereo (SfM-MVS) technique in order to provide a structural analysis of clastic dikes cutting through siltstone layers. While traditional photogrammetry requires the user to input a series of parameters related to the camera orientation and its characteristics (such as focal distance), in SfM-MVS the scene geometry, camera position and orientations are automatically determined by a bundle adjustment, an iterative procedure based on a set of overlapping images. It is considered a low-cost technique in terms of hardware and software, also being able to provide point density and accuracy on par to the ones obtained withTerrestrial Laser Scanning. The results acquired on this research have good agreement with previous works, yielding a NNW main orientation for the dikes measured in the field and on the 3D model. The development of this work showed that SfM-MVS use and practice on geosciences still needs more studies on the optimization of the involved parameters (such as camera orientation, image overlap and angle of illumination), which, when accomplished, will result in less processing time and more accurate models.
    BibTeX

    BibTeX

                        @article{Viana2018bjgeo,
  author = {Viana*, C. D. and Grohmann, C. H. and Busarello*, M. and Garcia*, G. P. B},
  journal = {{Brazilian Journal of Geology}},
  title = {{Structural analysis of clastic dikes using Structure from Motion - Multi-View Stereo: a case-study in the Paran\'a Basin, southeastern Brazil}},
  year = {2018},
  issn = {2317-4889},
  month = dec,
  pages = {839 - 852},
  volume = {48},
  access = {Open Access},
  doi = {10.1590/2317-4889201800201898},
  kind = {journal},
  language = {en},
  oalink = {https://doi.org/10.1590/2317-4889201800201898},
  publisher = {scielo},
  timestamp = {2020-12-30-12-36},
  url = {https://doi.org/10.1590/2317-4889201800201898}
}
    Open Access

2017

  • Riccomini, C., & Grohmann, C. H. 2017. Increasing the international visibility of the Brazilian Journal of Geology. Brazilian Journal of Geology, 47(1): 1–1.
    Abstract

    Abstract

    Since January 1st, 2017, the Board of Directors of the Brazilian Geological Society has honored the signatories to assume the editorial activities of the Brazilian Journal of Geology (BJG). Our responsibility is tremendous in the face of the hard work and efforts made by the previous Editor-in-Chief, Prof. Umberto G. Cordani, who was in charge of the journal for a little more than five years and, in this short term, gave it a new format, increased the publication of articles in English, and attained indexation in the best international databases such as Scopus and Web of Science. In 2015, the BJG received its first Impact Factor of 0.6, twice as expected.
    BibTeX

    BibTeX

                        @article{Riccomini2017,
  author = {Riccomini, Claudio and Grohmann, Carlos Henrique},
  journal = {Brazilian Journal of Geology},
  title = {{Increasing the international visibility of the Brazilian Journal of Geology}},
  year = {2017},
  month = jan,
  number = {1},
  pages = {1--1},
  volume = {47},
  access = {Open Access},
  doi = {10.1590/2317-4889201700000471},
  kind = {journal},
  oalink = {https://doi.org/10.1590/2317-4889201700000471},
  publisher = {{FapUNIFESP} ({SciELO})},
  timestamp = {2020-12-30-12-35},
  url = {https://doi.org/10.1590/2317-4889201700000471}
}
    Open Access

2016

  • Grohmann, C. H. 2016. Comparative Analysis of Global Digital Elevation Models and Ultra-Prominent Mountain Peaks. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, III-4: 17–23.
    BibTeX

    BibTeX

                        @article{Grohmann2016isprs,
  author = {Grohmann, C. H.},
  journal = {ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences},
  title = {{Comparative Analysis of Global Digital Elevation Models and Ultra-Prominent Mountain Peaks}},
  year = {2016},
  note = {http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-4/17/2016/},
  pages = {17--23},
  volume = {III-4},
  access = {Open Access},
  doi = {10.5194/isprs-annals-III-4-17-2016},
  kind = {journal},
  oalink = {https://doi.org/10.5194/isprs-annals-III-4-17-2016},
  timestamp = {2020-12-30-12-35},
  url = {https://doi.org/10.5194/isprs-annals-III-4-17-2016}
}
    Open Access

  • Rauen, V. A. B., Grohmann, C. H., Goveia, S. S., Mioto, C. L., Marini, L. B., Paranhos Filho, A. C., & Almeida, M. H. T. 2016. Geotecnologias na Determinação da Vulnerabilidade à Ocorrência de Vazamentos em Redes de Abastecimento de Água. Geociências (São Paulo), 35(3): 414–425.
    Abstract

    Abstract

    The objective of this research is to develop maps of vulnerability for the city of Guarulhos, to identify vulnerable areas to spillage and help sanitations companies to define priority areas for leakage control and also the occurrence of geological accidents induced by these. The maps were produced using the methodology of map algebra developed in GIS environment, in which triggering factors and their respective weights were defined as the influence on the outbreak of the studied events. For the analysis of vulnerability to the occurrence of leaks in water supply network we used map algebra factors of age, network pressure and number of recurring maintenance. The highest vulnerability occurred in networks that had already suffered recurring maintenance, but as we launched to the map the geological accidents that were surveyed, these were associated with areas of high or medium vulnerabilities. Thus, it can be concluded that other factors analyzed (age and pressure) had greatest influence in the initiation of these events. Thereby it can be concluded that the methodology applied was satisfactory to the proposed objectives. It is important to mention that the methodology can be fully developed free programs in GIS, which facilitate the access to public agencies
    BibTeX

    BibTeX

                        @article{Rauen2016,
  author = {Rauen, V. A. B. and Grohmann, C. H. and Goveia, S. S. and Mioto, C. L. and Marini, L. B. and Paranhos~Filho, A. C. and Almeida, M. H. T.},
  journal = {Geoci\^{e}ncias (S\~{a}o Paulo)},
  title = {{Geotecnologias na Determinação da Vulnerabilidade à Ocorrência de Vazamentos em Redes de Abastecimento de Água}},
  year = {2016},
  number = {3},
  pages = {414-425},
  volume = {35},
  kind = {journal},
  oalink = {http://www.revistageociencias.com.br/35/volume35_3_files/35-3-artigo-07.pdf},
  timestamp = {2020-12-30-12-53}
}
    Open Access

  • Viana*, C. D., Endlein*, A., Campanha, G. A. C., & Grohmann, C. H. 2016. Algorithms for Extraction of Structural Attitudes from 3D Outcrop Models. Computers & Geosciences, 90: 112–122.
    Abstract

    Abstract

    The acquisition of geological attitudes on rock cuts using traditional field compass survey can be a time consuming, dangerous, or even impossible task depending on the conditions and location of outcrops. The importance of this type of data in rock-mass classifications and structural geology has led to the development of new techniques, in which the application of photogrammetric 3D digital models has had an increasing use. In this paper we present two algorithms for extraction of attitudes of geological discontinuities from virtual outcrop models: ply2atti and scanline, implemented with the Python programming language. The ply2atti algorithm allows for the virtual sampling of planar discontinuities appearing on the 3D model as individual exposed surfaces, while the scanline algorithm allows the sampling of discontinuities (surfaces and traces) along a virtual scanline. Application to digital models of a simplified test setup and a rock cut demonstrated a good correlation between the surveys undertaken using traditional field compass reading and virtual sampling on 3D digital models.
    BibTeX

    BibTeX

                        @article{Viana2016cageo,
  author = {Viana*, C. D. and Endlein*, A. and Campanha, G. A. C. and Grohmann, C. H.},
  journal = {Computers \& Geosciences},
  title = {{Algorithms for Extraction of Structural Attitudes from 3D Outcrop Models}},
  year = {2016},
  pages = {112-122},
  volume = {90},
  access = {Paywalled},
  doi = {10.1016/j.cageo.2016.02.017},
  kind = {journal},
  timestamp = {2020-12-30-12-36},
  url = {https://doi.org/10.1016/j.cageo.2016.02.017}
}
    Paywalled

2015

  • Giannini, P. C. F., Assine, M. L., Basilici, G., & Grohmann, C. H. 2015. Excerpts from the 6th Latin American Congress of Sedimentology. Brazilian Journal of Geology, 45: 1–2.
    Abstract

    Abstract

    The 6 th Latin American Congress of Sedimentology (VI LACS) was held at the Universidade de São Paulo main campus, in the city of São Paulo, 14-17 July 2013. This is the main scientific event focused on the Latin American community of sedimentologists and stratigraphers, promoted under the seal of IAS, the International Association of Sedimentologists, since 1997. The VI LACS had 380 registrations: 251 from Brazil and 129 from 17 other countries, mainly of South America. There were 121 presented works, which integrated the abstracts book. After the event, the authors were invited to submit a full paper version of theirs abstracts to the Annals of the Congress , which is being published now as this special supplement of the Brazilian Journal of Geology , with financial support from the Brazilian National Council for Scientific and Technological Development - CNPq (Grant 452723/2013-2).
    BibTeX

    BibTeX

                        @article{Giannini2015,
  author = {Giannini, Paulo C. Fonseca and Assine, Mario Luis and Basilici, Giorgio and Grohmann, Carlos Henrique},
  journal = {{Brazilian Journal of Geology}},
  title = {{Excerpts from the 6th Latin American Congress of Sedimentology}},
  year = {2015},
  issn = {2317-4889},
  month = aug,
  pages = {1 - 2},
  volume = {45},
  access = {Open Access},
  crossref = {10.1590/2317-4889201545000},
  doi = {10.1590/2317-4889201545000},
  kind = {journal},
  language = {en},
  oalink = {https://doi.org/10.1590/2317-4889201545000},
  publisher = {scielo},
  timestamp = {2020-12-30-12-38},
  url = {https://doi.org/10.1590/2317-4889201545000}
}
    Open Access

  • Grohmann, C. H. 2015. Effects of spatial resolution on slope and aspect derivation for regional-scale analysis. Computers & Geosciences, 77: 111–117.
    Abstract

    Abstract

    This paper investigates differences between morphometric parameters (slope and aspect) derived from a resampled DEM and resampled morphometric data derived from a medium resolution DEM, with examples for three study areas in South America selected to represent flatlands, hilly terrain, and mountain ranges. Using a low resolution DEM for regional scale morphometric analysis is not an optimal choice, since attenuation of elevation will strongly affect the distribution of calculated parameters. Unless bounded by computational constraints, one should choose to derive basic morphometric parameters from higher resolution data, and resample it to a coarser resolution as needed.
    BibTeX

    BibTeX

                        @article{Grohmann2015cageo,
  author = {Grohmann, C. H.},
  journal = {Computers \& Geosciences},
  title = {{Effects of spatial resolution on slope and aspect derivation for regional-scale analysis}},
  year = {2015},
  pages = {111-117},
  volume = {77},
  access = {Paywalled},
  doi = {10.1016/j.cageo.2015.02.003},
  kind = {journal},
  owner = {guano},
  postprint = {https://dx.doi.org/10.17605/OSF.IO/6XC29},
  timestamp = {2020-12-30-12-40},
  url = {http://dx.doi.org/10.1016/j.cageo.2015.02.003}
}
    Paywalled Postprint (Open Access)

  • Sawakuchi, A. O., Hartmann, G. A., Sawakuchi, H. O., Pupim, F. N., Bertassoli, D. J., Parra, M., Antinao, J. L., Sousa, L. M., Sabaj Pérez, M. H., Oliveira, P. E., Santos, R. A., Savian, J. F., Grohmann, C. H., Medeiros, V. B., McGlue, M. M., Bicudo, D. C., & Faustino, S. B. 2015. The Volta Grande do Xingu: reconstruction of past environments and forecasting of future scenarios of a unique Amazonian fluvial landscape. Scientific Drilling, 20: 21–32.
    Abstract

    Abstract

    The Xingu River is a large clearwater river in eastern Amazonia and its downstream sector, known as the Volta Grande do Xingu ("Xingu Great Bend"), is a unique fluvial landscape that plays an important role in the biodiversity, biogeochemistry and prehistoric and historic peopling of Amazonia. The sedimentary dynamics of the Xingu River in the Volta Grande and its downstream sector will be shifted in the next few years due to the construction of dams associated with the Belo Monte hydropower project. Impacts on river biodiversity and carbon cycling are anticipated, especially due to likely changes in sedimentation and riverbed characteristics. This research project aims to define the geological and climate factors responsible for the development of the Volta Grande landscape and to track its environmental changes during the Holocene, using the modern system as a reference. In this context, sediment cores, riverbed rock and sediment samples and greenhouse gas (GHG) samples were collected in the Volta Grande do Xingu and adjacent upstream and downstream sectors. The reconstruction of past conditions in the Volta Grande is necessary for forecasting future scenarios and defining biodiversity conservation strategies under the operation of Belo Monte dams. This paper describes the scientific questions of the project and the sampling surveys performed by an international team of Earth scientists and biologists during the dry seasons of 2013 and 2014. Preliminary results are presented and a future workshop is planned to integrate results, present data to the scientific community and discuss possibilities for deeper drilling in the Xingu ria to extend the sedimentary record of the Volta Grande do Xingu.
    BibTeX

    BibTeX

                        @article{Sawakuchi2015,
  author = {Sawakuchi, A. O. and Hartmann, G. A. and Sawakuchi, H. O. and Pupim, F. N. and Bertassoli, D. J. and Parra, M. and Antinao, J. L. and Sousa, L. M. and Sabaj P\'erez, M. H. and Oliveira, P. E. and Santos, R. A and Savian, J. F. and Grohmann, C. H. and Medeiros, V. B. and McGlue, M. M. and Bicudo, D. C. and Faustino, S. B.},
  journal = {Scientific Drilling},
  title = {{The Volta Grande do Xingu: reconstruction of past environments and forecasting of future scenarios of a unique Amazonian fluvial landscape}},
  year = {2015},
  pages = {21--32},
  volume = {20},
  access = {Open Access},
  doi = {10.5194/sd-20-21-2015},
  kind = {journal},
  oalink = {https://doi.org/10.5194/sd-20-21-2015},
  timestamp = {2020-12-30-12-40},
  url = {10.5194/sd-20-21-2015}
}
    Open Access

  • Nascimento Jr., D. R., Sawakuchi, A. O., Guedes, C. C. F., Giannini, P. C. F., Grohmann, C. H., & Ferreira, M. P. 2015. Provenance of sands from the confluence of the Amazon and Madeira rivers based on detrital heavy minerals and luminescence of quartz and feldspar. Sedimentary Geology, 316(0): 1–12.
    Abstract

    Abstract

    Source-to-sink systems are poorly known in tropical rivers. For the Amazonian rivers, the majority of the provenance studies remain focused on the suspended load, implying a poor understanding of the processes governing production and distribution of sands. In this study, we perform heavy mineral and optically stimulated luminescence (OSL) analysis to cover the entire spectrum (heavy and light minerals fraction) of 29 sand samples of the Lower Madeira river region (Amazon and Madeira rivers), of which the main goal was to find provenance indicators specific to these rivers. Despite the tropical humid climate, the sands of the Amazon and Lower Madeira rivers are rich in unstable heavy minerals as augite, hypersthene, green hornblende and andalusite. The Madeira river is highlighted by its higher content of andalusite, with source attributed to the Amazon Craton (medium-to-high grade metamorphic rocks), while the Amazon river, upstream of the Madeira river mouth, has a signature of augite and hypersthene, that suggests an Andean provenance (volcanic rocks). Sands from the Madeira river can be tracked in the Amazon river by the increasing concentration in andalusite. OSL analysis of the light minerals fraction was used as an index of feldspar concentration and sedimentary history of quartz grains. Lower feldspar concentration and quartz grains with longer sedimentary history (higher OSL sensitivity) also point to a major contribution of cratonic sources for the sands in the Madeira river. While the sands from the Lower Madeira would be mainly supplied by cratonic rocks, previous work recognised that suspended sediments (silt and clay) are derived from Andean rocks. Therefore, we interpret a decoupling between the sources of sand and mud (silt and clay) under transport in the Madeira river. Andean sands (rich in augite and hypersthene) would be trapped in the foreland zones of the Beni and Mamoré tributaries. In the Amazon river sands, the low OSL sensitivity of the quartz, higher content of feldspar and unstable heavy mineral assemblage dominated by augite and hypersthene suggest both a fast transport from Andean sources with fine sediment bypass over foreland areas.
    BibTeX

    BibTeX

                        @article{NascimentoJr2015,
  author = {{Nascimento Jr.}, Daniel R. and Sawakuchi, Andr{/'e} O. and Guedes, Carlos C. F. and Giannini, Paulo C. F. and Grohmann, Carlos H. and Ferreira, Manuela P.},
  journal = {Sedimentary Geology},
  title = {{Provenance of sands from the confluence of the Amazon and Madeira rivers based on detrital heavy minerals and luminescence of quartz and feldspar}},
  year = {2015},
  issn = {0037-0738},
  number = {0},
  pages = {1 - 12},
  volume = {316},
  access = {Paywalled},
  doi = {10.1016/j.sedgeo.2014.11.002},
  keywords = {Provenance},
  kind = {journal},
  owner = {guano},
  timestamp = {2020-12-30-12-40},
  url = {http://dx.doi.org/10.1016/j.sedgeo.2014.11.002}
}
    Paywalled

2014

  • Jacques, P. D., Salvador, E. D., Machado, R., Grohmann, C. H., & Nummer, A. R. 2014. Application of morphometry in neotectonic studies at the eastern edge of the Paraná Basin, Santa Catarina State, Brazil. Geomorphology, 213(0): 13–23.
    Abstract

    Abstract

    The neotectonic evolution of the eastern edge of the Paraná Basin in the Santa Catarina State, Brazil was investigated using field data and detailed morphometric analysis along an east–west section. Analysis included generation of maps of isobase, hydraulic gradients, hypsometry, incision of drainage basins, drainage asymmetry and anomalous morphological features. All these maps generated results that agreed with field data and helped define recent faults in directions close to N–S and E–W, both probably reactivated faults of the Paraná Basin and the basement. Geomorphological features identified in topographic maps, possibly related to neotectonism, have a close agreement with our observations in the field. The asymmetry of basins as analysed by the T-Index method proved to be compatible with the influence of a E–W compressive tectonic regime and showed a movement from W to E. Application of the hypsometric integral technique helped establish a correlation between the younger basins with structures trending N–S (± 30°). The N–S faults were related to a compressional stress field (SHmax) close to E–W and SHmin (stress minimum) around N–S, thereby establishing a tectonic context of structures developed in a transpressive regime. The compressional field was caused by the subduction of the Nazca tectonic plate below the South American plate, whereas the transcurrent component exploited pre-existent E–W structures when the Atlantic Ocean was opening.
    BibTeX

    BibTeX

                        @article{Jacques2014,
  author = {Jacques, Patricia D. and Salvador, Elizete D. and Machado, R\^{o}mulo and Grohmann, Carlos H. and Nummer, Alexis R.},
  journal = {Geomorphology},
  title = {{Application of morphometry in neotectonic studies at the eastern edge of the Paraná Basin, Santa Catarina State, Brazil}},
  year = {2014},
  issn = {0169-555X},
  number = {0},
  pages = {13-23},
  volume = {213},
  access = {Paywalled},
  doi = {10.1016/j.geomorph.2013.12.037},
  kind = {journal},
  owner = {guano},
  timestamp = {2020-12-30-12-40},
  url = {http://dx.doi.org/10.1016/j.geomorph.2013.12.037}
}
    Paywalled

  • Quaglio, F., Grohmann, C. H., & Fairchild, T. 2014. Como fazer relatórios em geociências. Terrae Didatica, 10(2): 105–120.
    Abstract

    Abstract

    Relatórios são recursos didáticos empregados para que os alunos apresentem, na forma de texto acadêmico, um tema relacionado à disciplina em curso. São, portanto, parte do processo natural de aprendizagem dos estudantes. Muitas vezes, no entanto, o aluno enfrenta maior dificuldade na elaboração do relatório em si do que na aprendizagem sobre o tópico da disciplina. Além disso, as informações úteis para a elaboração de relatórios de disciplina comumente se encontram dispersas na literatura geral sobre o tema. O objetivo principal deste guia é orientar o aluno de graduação em Geociências a desenvolver relatórios bem estruturados e apresentados, que abordem com textos de qualidade os tópicos relacionados à disciplina. Está aqui reunido o passo-a-passo para a organização e desenvolvimento de um relatório, incluindo dicas importantes para pesquisa bibliográfica, apresentação do texto, citações, formatação de tabelas, figuras e referências.
    BibTeX

    BibTeX

                        @article{Quaglio2014,
  author = {Quaglio, Fernanda and Grohmann, C. H. and Fairchild, Thomas},
  journal = {Terrae Didatica},
  title = {{Como fazer relatórios em geociências}},
  year = {2014},
  month = jun,
  number = {2},
  pages = {105–120},
  volume = {10},
  access = {Open Access},
  doi = {10.20396/td.v10i2.8637369},
  kind = {journal},
  oalink = {http://dx.doi.org/10.20396/td.v10i2.8637369},
  place = {Campinas, SP},
  url = {https://periodicos.sbu.unicamp.br/ojs/index.php/td/article/view/8637369}
}
    Open Access

  • Tennant, J. P., Poisot, T., Kubke, M. F., & et al. 2014. Open Letter to The American Association for the Advancement of Science. The Winnower, 2: e140813.35294.
    Abstract

    Abstract

    This is an open letter concerning the recent launch of the new open access journal, Science Advances. In addition to the welcome diversification in journal choices for authors looking for open access venues, there are many positive aspects of Science Advances: its broad STEM scope, its interest in cross-disciplinary research, and the offering of fee waivers. While we welcome the commitment of the Association to open access, we are also deeply concerned with the specific approach. Herein, we outline a number of suggestions that are in line with both the current direction that scholarly publishing is taking and the needs expressed by the open access community, which this journal aims to serve.
    BibTeX

    BibTeX

                        @article{Tennant2014,
  author = {Tennant, Jonathan P. and Poisot, Timoth{\'{e}}e and Kubke, M Fabiana and {et al.}},
  journal = {The Winnower},
  title = {{Open Letter to The American Association for the Advancement of Science}},
  year = {2014},
  pages = {e140813.35294},
  volume = {2},
  access = {Open Access},
  doi = {10.15200/winn.140813.35294},
  etal = {and Fran{\c{c}}ois Michonneau and Michael P. Taylor and Graham Steel and J{\'{e}}r{\'{e}}my Anquetin and Emily Coyte and Benjamin Schwessinger and Erin C. McKiernan and Tom Pollard and Aimee Eckert and Liz Allen and Dalmeet Singh Chawla and Elizabeth Silva and Nicholas Gardner and Nathan Cantley and John Dupuis and Christina Pikas and Amy Buckland and Lenny Teytelman and Zen Faulkes and Robert J. Gay and Peter T.B. Brett and Anders Eklund and Johannes Bj\"{o}rk and William Gunn and Philippe Desjardins-Proulx and Joshua M. Nicholson and Scott Edmunds and Steven Ray Wilson and Stuart Buck and B. Arman Aksoy and Nazeefa Fatima and Ross Mounce and Heather Piwowar and Avinash Thirumalai and Jason Priem and Clayton Aldern and Marcus D. Hanwell and Kristen L. Marhaver and David Michael Roberts and Brian Hole and Alexander Grossmann and David L. Vaux and John Murtagh and Alecia Carter and Alex O. Holcombe and Ignacio Torres Aleman and Sarah Molloy and John Lamp and Matthew Todd and Anusha Seneviratne and Guido Guidotti and Joseph McArthur and Carlos H. Grohmann and Jan de Leeuw and Jung H. Choi and Ernesto Priego and Brian Pasley and Stacy Konkiel and Elizabeth HB Hellen and Raphael Levy and Paul Coxon and Nitika Pant Pai and David Carroll and Jacinto D{\'{a}}vila and Marco Arieli Herrera-Valdez and Juan Pablo Alperin and Jan P. de Ruiter and Xianwen Chen and Jeanette Hatherill and Katharine Mullen and Pedro Bekinschtein and Quentin Groom and Karen Meijer-Kline and Pietro Gatti-Lafranconi and Jeffrey Hollister and Lachlan Coin and MooYoung Choi and Oscar Patterson-Lomba and Rowena Ball and Daniel Swan and Stephen Curry and Abigail Noyce and Jordan Ward and Ben Meghreblian and Ethan P. White and Sean R. Mulcahy and Sibele Fausto and Lorena A. Barba and Ed Trollope and Stephen Beckett and Andrew D. Steen and Mari Sarv and Noam Ross and Erika Amir and Martin Paul Eve and Franco Cecchi and Jason B. Colditz and Philip Spear and Mythili Menon and Matthew Clapham and Karl W. Broman and Graham Triggs and Tom Crick and Diano F. Marrone and Joseph Kraus and Steven Buyske and Gavin Simpson and Colleen Morgan and Kara Woo},
  kind = {journal},
  oalink = {http://dx.doi.org/10.15200/winn.140813.35294},
  publisher = {The Winnower, {LLC}},
  timestamp = {2020-12-30-12-38},
  url = {http://dx.doi.org/10.15200/winn.140813.35294}
}
    Open Access

  • Henrique-Pinto, R., Janasi, V. de A., Carvalho, B. B., Calado, B. de O., & Grohmann, C. H. 2014. Integrated geological map of the São Roque Domain, North of São Paulo City – Brazil. Journal of Maps, 10(3): 434–439.
    Abstract

    Abstract

    The São Roque Domain has an extensive geological cartographic base that began in the nineteenth century with the works performed by the Geographic and Geological Commission of São Paulo Province. The first more detailed geological maps of geological substrate of the São Paulo city and neighboring areas were executed in the decades of 1940–1950, and culminated in the integrated maps by José Moacyr Vianna Coutinho published in the 1970s. As part of a systematic geological mapping campaign led by PRÓ-MINÉRIO, most of the São Roque Domain was mapped at 1:50,000 scales; these maps, and others at the same or more detailed scale published mostly in the 1980s, are only available in unpublished academic theses and reports. This article presents an integrated map of most of the São Roque Domain based on all the available maps and some new stratigraphic and geochronological data that appeared in recent local literature.
    BibTeX

    BibTeX

                        @article{Henrique-Pinto2014,
  author = {{Henrique-Pinto}, Renato and Janasi, Valdecir de Assis and Carvalho, Bruna Borges and Calado, Bruno de Oliveira and Grohmann, Carlos Henrique},
  journal = {Journal of Maps},
  title = {{Integrated geological map of the São Roque Domain, North of São Paulo City – Brazil}},
  year = {2014},
  number = {3},
  pages = {434-439},
  volume = {10},
  access = {Open Access},
  doi = {10.1080/17445647.2014.883338},
  kind = {journal},
  oalink = {https://doi.org/10.1080/17445647.2014.883338},
  owner = {guano},
  timestamp = {2020-12-30-12-38},
  url = {http://dx.doi.org/10.1080/17445647.2014.883338}
}
    Open Access

2013

  • Grohmann, C. H., & Miliaresis, G. C. 2013. Geological applications of digital terrain analysis. International Journal of Geographical Information Science, 27(7): 1403–1404.
    Abstract

    Abstract

    Geologic terrain analysis includes, among others, the recognition and monitoring of landslide prone areas, evaluation of tectonic and fluvial processes in an attempt to estimate natural hazards, and evaluation of terrain suitability for engineering project design. Geologic terrain analysis is benefited from modern digital elevation models, landcover and multi-temporal biophysical data availability, while a variety of quantitative techniques have been developed to automate its processing. In this volume, the modern advances in the field of geological terrain analysis are presented, while emphasis is given to the quantitative analysis of modern datasets. Five case studies are presented
    BibTeX

    BibTeX

                        @article{Grohmann2013ijgis,
  author = {Grohmann, C. H. and Miliaresis, G. C.},
  journal = {International Journal of Geographical Information Science},
  title = {Geological applications of digital terrain analysis},
  year = {2013},
  number = {7},
  pages = {1403-1404},
  volume = {27},
  access = {Paywalled},
  doi = {10.1080/13658816.2013.772617},
  eprint = {http://www.tandfonline.com/doi/pdf/10.1080/13658816.2013.772617},
  kind = {journal},
  owner = {guano},
  postprint = {https://dx.doi.org/10.17605/OSF.IO/HDM87},
  timestamp = {2020-12-30-13-55},
  url = {http://dx.doi.org/10.1080/13658816.2013.772617}
}
    Paywalled Postprint (Open Access)

  • Grohmann, C. H., & Sawakuchi, A. O. 2013. Influence of cell size on volume calculation using digital terrain models: A case of coastal dune fields. Geomorphology, 180-181(1): 130–136.
    Abstract

    Abstract

    In this work, we analyze how variation in cell size influences the volume calculated from digital terrain models (DTMs) derived from a LiDAR (light detection and ranging) survey in two coastal Late Holocene dune fields in southern Brazil. Cell size varied from 1 to 100m. RMSE (root mean square error) of the resampled DTMs from the original LiDAR (with 0.5m resolution) increases linearly with cell size, while R2 (coefficient of determination) decreases following a second-order trend. The volume does not show simple linear or exponential behavior, but fluctuates with positive and negative deviations from the original DTM. This can be explained by a random factor in the position of the cell with regard to landforms and a relationship between cell and landform size, wherein a small change in cell size can lead to an under- or overestimation of volume. The ASTER GDEM (global digital elevation model) and X-SAR SRTM (Shuttle Radar Topography Mission) 1″ digital elevation models (DEMs) were not considered viable volume sources due to large deviations from the reference data, either as a consequence of noise in the SRTM X-SAR data or lack of bias elevation correction to a common reference base in the GDEM processing chain. Volumes from a 3-arcsec SIR-C SRTM deviated around ±5% from the reference data and are considered suitable input for numerical simulations of Quaternary dune field evolution models because these values should be within the expected range of sediment volume changes over hundreds to millions of years.
    BibTeX

    BibTeX

                        @article{Grohmann2013gmorph,
  author = {Grohmann, C. H. and Sawakuchi, A. O},
  journal = {Geomorphology},
  title = {{Influence of cell size on volume calculation using digital terrain models: A case of coastal dune fields}},
  year = {2013},
  issn = {0169-555X},
  number = {1},
  pages = {130-136},
  volume = {180-181},
  access = {Paywalled},
  doi = {10.1016/j.geomorph.2012.09.012},
  keywords = {Coastal dune field, Quaternary, LiDAR, X-SAR SRTM, SIR-C SRTM, ASTER GDEM},
  kind = {journal},
  owner = {guano},
  postprint = {https://dx.doi.org/10.17605/OSF.IO/PR7UM},
  timestamp = {2020-12-30-12-47},
  url = {http://dx.doi.org/10.1016/j.geomorph.2012.09.012}
}
    Paywalled Postprint (Open Access)

2012

  • Grohmann, C. H., & Riccomini, C. 2012. Análise digital de terreno e evolução de longo-termo de relevo do centro-leste brasileiro. Geologia USP. Série Científica, 12: 129–150.
    Abstract

    Abstract

    As diversas teorias geomorfológicas para evolução do relevo em longo-termo (da ordem de dezenas de milhões de anos) contemplam a existência de superfícies de aplainamento, formadas pela ação contínua dos agentes erosivos/deposicionais em períodos de quiescência tectônica e reconhecíveis como extensas áreas de relevo muito suave perturbadas localmente por elevações residuais, ou pela aparente concordância altimétrica dos divisores de águas de uma região. Apesar de passadas várias décadas desde a publicação das principais teorias sobre evolução das formas de relevo, a validade desses modelos ainda é palco de discussão. Neste trabalho são apresentados estudos relativos à compartimentação do relevo, em escala regional, da região centro-leste brasileira. As análises foram focadas em análise digital de terreno, com processamento e integração de dados em Sistema de Informações Geográficas, visando a extração e caracterização de variáveis relativas à superfície topográfica e a compilação e tratamento matemático de dados termocronológicos e geofísicos. Os resultados obtidos foram interpretados tendo em vista o contexto geológico e as teorias de evolução do relevo em longo-termo. A integração entre dados morfométricos, termocronológicos e geofísicos não suporta a validade do uso de superfícies aplainadas em correlações estratigráficas de âmbito regional.
    BibTeX

    BibTeX

                        @article{Grohmann2012geousp,
  author = {Grohmann, Carlos Henrique and Riccomini, Claudio},
  journal = {{Geologia USP. S\'{e}rie Cient\'{i}fica}},
  title = {{An\'{a}lise digital de terreno e evolu\c c\~{a}o de longo-termo de relevo do centro-leste brasileiro}},
  year = {2012},
  issn = {1519-874X},
  month = aug,
  pages = {129 - 150},
  volume = {12},
  access = {Open Access},
  doi = {10.5327/Z1519-874X2012000200009},
  kind = {journal},
  language = {pt},
  oalink = {http://dx.doi.org/10.5327/Z1519-874X2012000200009},
  owner = {guano},
  publisher = {scieloppegeo},
  timestamp = {2020-12-30-12-42},
  url = {http://dx.doi.org/10.5327/Z1519-874X2012000200009}
}
    Open Access

  • Simões, M. G., Quaglio, F., Warren, L. V., Anelli, L. E., Stone, P., Riccomini, C., Grohmann, C. H., & Chamani, M. A. C. 2012. Permian non-marine bivalves of the Falkland Islands and their palaeoenvironmental significance. Alcheringa: An Australasian Journal of Palaeontology, 36(4): 543–554.
    Abstract

    Abstract

    We describe the occurrence of non-marine bivalves in exposures of the Middle Permian (Capitanian) Brenton Loch Formation on the southern shore of Choiseul Sound, East Falklands. The bivalves are associated with ichnofossils and were collected from a bed in the upper part of the formation, within a 25 cm thick interval of dark siltstones and mudstones with planar lamination, overlain by massive sandstones. The shells are articulated, with the valves either splayed open or closed. At the top of the succession, mudstone beds nearly 1.5 m above the bivalve-bearing layers yielded well-preserved Glossopteris sp. cf. G. communis leaf fossils. The closed articulated condition of some shells indicates preservation under high sedimentation rates with low residence time of bioclasts at the sediment/water interface. However, the presence of specimens with splayed shells is usually correlated to the slow decay of the shell ligament in oxygen-deficient bottom waters. The presence of complete carbonized leaves of Glossopteris associated with the bivalve-bearing levels also suggests a possibly dysoxic-anoxic bottom environment. Overall, our data suggest that the bivalves were preserved by abrupt burial, possibly by distal sediment flows into a Brenton Loch lake, and may represent autochthonous to parautochthonous fossil accumulations. The shells resemble those of anthracosiids and are herein assigned to Palaeanodonta sp. aff. P. dubia, a species also found in the Permian succession of the Karoo Basin, South Africa. Our results confirm that (a) the true distributions in space and time of all Permian non-marine (freshwater) bivalves are not yet well known, and (b) there is no evidence for marine conditions in the upper part of the Brenton Loch Formation.
    BibTeX

    BibTeX

                        @article{Simoes2012,
  author = {Sim\~{o}es, Marcello G. and Quaglio, Fernanda and Warren, Lucas V. and Anelli, Luiz E. and Stone, Philip and Riccomini, Claudio and Grohmann, Carlos H. and Chamani, Marlei A.C.},
  journal = {Alcheringa: An Australasian Journal of Palaeontology},
  title = {{Permian non-marine bivalves of the Falkland Islands and their palaeoenvironmental significance}},
  year = {2012},
  number = {4},
  pages = {543-554},
  volume = {36},
  access = {Paywalled},
  doi = {10.1080/03115518.2012.688682},
  eprint = {http://www.tandfonline.com/doi/pdf/10.1080/03115518.2012.688682},
  kind = {journal},
  owner = {guano},
  timestamp = {2020-12-30-12-47},
  url = {http://dx.doi.org/10.1080/03115518.2012.688682}
}
    Paywalled

2011

  • Grohmann, C. H., Riccomini, C., & Chamani, M. A. C. 2011. Regional scale analysis of landform configuration with base-level (isobase) maps. Hydrology and Earth System Sciences, 15(5): 1493–1504.
    Abstract

    Abstract

    Base-level maps (or "isobase maps", as originally defined by Filosofov, 1960), express a relationship between valley order and topography. The base-level map can be seen as a "simplified" version of the original topographic surface, from which the "noise" of the low-order stream erosion was removed. This method is able to identify areas with possible tectonic influence even within lithologically uniform domains. Base-level maps have been recently applied in semi-detail scale (e.g., 1:50 000 or larger) morphotectonic analysis. In this paper, we present an evaluation of the method’s applicability in regional-scale analysis (e.g., 1:250 000 or smaller). A test area was selected in northern Brazil, at the lower course of the Araguaia and Tocantins rivers. The drainage network extracted from SRTM30_PLUS DEMs with spatial resolution of approximately 900 m was visually compared with available topographic maps and considered to be compatible with a 1:1,000 000 scale. Regarding the interpretation of regional-scale morphostructures, the map constructed with 2nd and 3rd-order valleys was considered to present the best results. Some of the interpreted base-level anomalies correspond to important shear zones and geological contacts present in the 1:5 000 000 Geological Map of South America. Others have no correspondence with mapped Precambrian structures and are considered to represent younger, probably neotectonic, features. A strong E-W orientation of the base-level lines over the inflexion of the Araguaia and Tocantins rivers, suggest a major drainage capture. A N-S topographic swath profile over the Tocantins and Araguaia rivers reveals a topographic pattern which, allied with seismic data showing a roughly N-S direction of extension in the area, lead us to interpret this lineament as an E-W, southward-dipping normal fault. There is also a good visual correspondence between the base-level lineaments and geophysical anomalies. A NW-SE lineament in the southeast of the study area partially corresponds to the northern border of the Mosquito lava field, of Jurassic age, and a NW-SE lineament traced in the northeastern sector of the study area can be interpreted as the Picos-Santa Inês lineament, identifiable in geophysical maps but with little expression in hypsometric or topographic maps.
    BibTeX

    BibTeX

                        @article{Grohmann2011hess,
  author = {Grohmann, C. H. and Riccomini, C. and Chamani, M. A. C.},
  journal = {Hydrology and Earth System Sciences},
  title = {{Regional scale analysis of landform configuration with base-level (isobase) maps}},
  year = {2011},
  number = {5},
  pages = {1493--1504},
  volume = {15},
  access = {Open Access},
  doi = {10.5194/hess-15-1493-2011},
  kind = {journal},
  oalink = {https://doi.org/10.5194/hess-15-1493-2011},
  owner = {guano},
  timestamp = {2020-12-30-12-42},
  url = {http://dx.doi.org/10.5194/hess-15-1493-2011}
}
    Open Access

  • Grohmann, C. H., Smith, M. J., & Riccomini, C. 2011. Multiscale Analysis of Topographic Surface Roughness in the Midland Valley, Scotland. Geoscience and Remote Sensing, IEEE Transactions on, 49(4): 1200–1213.
    Abstract

    Abstract

    Surface roughness is an important geomorphological variable which has been used in the Earth and planetary sciences to infer material properties, current/past processes, and the time elapsed since formation. No single definition exists; however, within the context of geomorphometry, we use surface roughness as an expression of the variability of a topographic surface at a given scale, where the scale of analysis is determined by the size of the landforms or geomorphic features of interest. Six techniques for the calculation of surface roughness were selected for an assessment of the parameter’s behavior at different spatial scales and data-set resolutions. Area ratio operated independently of scale, providing consistent results across spatial resolutions. Vector dispersion produced results with increasing roughness and homogenization of terrain at coarser resolutions and larger window sizes. Standard deviation of residual topography highlighted local features and did not detect regional relief. Standard deviation of elevation correctly identified breaks of slope and was good at detecting regional relief. Standard deviation of slope (SDslope) also correctly identified smooth sloping areas and breaks of slope, providing the best results for geomorphological analysis. Standard deviation of profile curvature identified the breaks of slope, although not as strongly as SDslope, and it is sensitive to noise and spurious data. In general, SDslope offered good performance at a variety of scales, while the simplicity of calculation is perhaps its single greatest benefit.
    BibTeX

    BibTeX

                        @article{Grohmann2011ieee,
  author = {Grohmann, C. H. and Smith, M. J. and Riccomini, C.},
  journal = {Geoscience and Remote Sensing, IEEE Transactions on},
  title = {{Multiscale Analysis of Topographic Surface Roughness in the Midland Valley, Scotland}},
  year = {2011},
  number = {4},
  pages = {1200--1213},
  volume = {49},
  access = {Paywalled},
  doi = {10.1109/TGRS.2010.2053546},
  kind = {journal},
  owner = {guano},
  postprint = {https://dx.doi.org/10.17605/OSF.IO/2DSJN},
  timestamp = {2020-12-30-12-45},
  url = {http://dx.doi.org/10.1109/TGRS.2010.2053546}
}
    Paywalled Postprint (Open Access)

2010

  • Campanha, G. A. C., Warren, L. V., Boggiani, P. C., Grohmann, C. H., & Cáceres, A. A. 2010. Structural Analysis of the Itapucumí Group in the Vallemí Region, Northern Paraguay: Evidence of a New Brasiliano/Pan-African Mobile Belt. Journal of South American Earth Sciences, 30: 1–11.
    Abstract

    Abstract

    The Neoproterozoic (Ediacaran) Itapucumí Group in northern Paraguay is composed of carbonate and siliciclastic rocks, including ooid grainstones, marls, shales and sandstones, containing Cloudina fossils in the eastern region. It is almost undeformed over the Rio Apa Cratonic Block but shows a strong deformational pattern at its western edge. A detailed structural analysis of the Itapucumí Group was conducted in the Vallemí Mine, along with a regional survey in other outcrops downstream in the Paraguay River and in the San Alfredo, Cerro Paiva and Sargento José E. López regions. In the main Vallemí quarry, the structural style is characterized by an axial-plane slaty cleavage in open to isoclinal folds, sometimes overturned, associated with N–S trending thrust faults and shear zones of E-vergence and with a low-grade chlorite zone metamorphism. The structural data presented here are compatible with the hypothesis of a newly recognized mobile belt on the western side of the Rio Apa Cratonic Block, with opposite vergence to that of the Paraguay Mobile Belt in Brazil. Both belts are related to the Late Brasiliano/Pan-African tectonic cycle with a Lower Cambrian deformation and metamorphism age. The deformation could be due to the late collision of the Amazonian Craton with the remainder of Western Gondwana or to the western active plate boundary related to the Pampean Belt. The structural and lithologic differences between the western Itapucumí Group in the Vallemí and Paraguay River region and the eastern region, near San Alfredo and Cerro Paiva, suggest that this group could be divided into two lithostratigraphic units, but more stratigraphic and geochronological analyses are required to confirm this possibility.
    BibTeX

    BibTeX

                        @article{Campanha2010jsaes,
  author = {Campanha, G. A. C. and Warren, L. V. and Boggiani, P. C. and Grohmann, C. H. and C\'aceres, A. A.},
  journal = {Journal of South American Earth Sciences},
  title = {{Structural Analysis of the Itapucum\'{i} Group in the Vallem\'{i} Region, Northern Paraguay: Evidence of a New Brasiliano/Pan-African Mobile Belt}},
  year = {2010},
  pages = {1-11},
  volume = {30},
  access = {Paywalled},
  doi = {10.1016/j.jsames.2010.04.001},
  kind = {journal},
  owner = {guano},
  timestamp = {2020-12-30-12-47},
  url = {http://dx.doi.org/10.1016/j.jsames.2010.04.001}
}
    Paywalled

  • Rodrigues, S. W. O., Archanjo, C. J., & Grohmann, C. H. 2010. Quantificação da deformac cão finita nos metagranitóides Cariris Velhos na Região de Alagoa Grande (PB). Geologia USP. Série Científica, 10: 57–78.
    Abstract

    Abstract

    Os Metagranitoides Cariris Velhos são considerados como uma das principais associações litológicas da Zona Transversal (Província Borborema - NE do Brasil). A utilização de imagens brutas e tratadas digitalmente de afloramentos dos Metagranitoides Cariris Velhos na obtenção do elipsoide de deformação foi avaliada com o emprego dos métodos do tensor de inércia e interceptos. Os resultados obtidos nas diferentes técnicas utilizadas apresentam elipsoides com geometria e parâmetros de forma semelhantes entre si, mas com grau de anisotropias diferentes. As orientações dos eixos dos elipsoides obtidos são condizentes com as estruturas geológicas observadas em campo, como a foliação principal e a lineação mineral. Entre as características observadas nos elipsoides de deformação obtidos nesse trabalho, destacam-se a forte orientação do eixo C (associado ao polo da foliação) e o predomínio de elipsoides associados a tramas planares e plano-lineares (predomínio de achatamento na deformação). A deformação observada nos Metagranitoides Cariris Velhos é associada ao desenvolvimento das zonas de cisalhamento brasilianas regionais desenvolvidas sob esforços transpressivos.
    BibTeX

    BibTeX

                        @article{Rodrigues2010geousp,
  author = {Rodrigues, S. W. O. and Archanjo, C. J. and Grohmann, C. H.},
  journal = {Geologia USP. S\'erie Cient\'ifica},
  title = {{Quantifica\c c\~{a}o da deformac c\~{a}o finita nos metagranitóides Cariris Velhos na Regi\~{a}o de Alagoa Grande (PB)}},
  year = {2010},
  pages = {57-78},
  volume = {10},
  access = {Open Access},
  doi = {10.5327/Z1519-874X2010000300005},
  kind = {journal},
  oalink = {http://dx.doi.org/10.5327/Z1519-874X2010000300005},
  owner = {guano},
  timestamp = {2020-12-30-12-44},
  url = {http://dx.doi.org/10.5327/Z1519-874X2010000300005}
}
    Open Access

2009

  • Grohmann, C. H., & Riccomini, C. 2009. Comparison of roving-window and search-window techniques for characterising landscape morphometry. Computers & Geosciences, 35: 2164–2169.
    Abstract

    Abstract

    The intent of this paper is to compare both techniques in a multi-scale study of geomorphometry, in central-eastern Brazil. The study area is limited by coordinates 0 and 26S latitude and 34W and 56W longitude, with approximately 4:900:000 km .
    BibTeX

    BibTeX

                        @article{Grohmann2009cageo,
  author = {Grohmann, C. H. and Riccomini, C.},
  journal = {Computers \& Geosciences},
  title = {{Comparison of roving-window and search-window techniques for characterising landscape morphometry}},
  year = {2009},
  pages = {2164-2169},
  volume = {35},
  access = {Paywalled},
  doi = {10.1016/j.cageo.2008.12.014},
  kind = {journal},
  owner = {guano},
  postprint = {https://dx.doi.org/10.17605/OSF.IO/X6BRZ},
  timestamp = {2020-12-30-12-50},
  url = {http://dx.doi.org/10.1016/j.cageo.2008.12.014}
}
    Paywalled Postprint (Open Access)

2008

  • Grohmann, C. H., Riccomini, C., & Steiner, S. S. 2008. Aplicações dos modelo de elevação SRTM em geomorfologia. Revista Geográfica Acadêmica, 2: 73–83.
    Abstract

    Abstract

    A missão Shuttle Radar Topography Mission (SRTM) foi realizada para mapear o relevo da área continental da Terra com interferometria de radar entre 60o de latitude norte e 54o de latitude sul. A utilização de Modelos Digitais de Elevação (MDEs) em geomorfologia permite o cálculo de variáveis associadas ao relevo com rapidez e precisão. Neste artigo, apresenta-se uma visão geral de aplicações dos modelos de elevação SRTM em análises geomorfológicas realizadas em território brasileiro, bem como uma apreciação das limitações existentes e de perspectivas futuras.
    BibTeX

    BibTeX

                        @article{Grohmann2008rga,
  author = {Grohmann, C. H. and Riccomini, C. and Steiner, S. S.},
  journal = {Revista Geogr\'{a}fica Acad\^{e}mica},
  title = {{Aplica\c c\~{o}es dos modelo de eleva\c c\~{a}o SRTM em geomorfologia}},
  year = {2008},
  pages = {73--83},
  volume = {2},
  citeulike-article-id = {3375634},
  keywords = {srtm, geomorphology},
  kind = {journal},
  oalink = {https://revista.ufrr.br/rga/issue/viewIssue/176/3},
  posted-at = {2008-10-04 23:59:50},
  timestamp = {2020-12-30-12-52}
}
    Open Access

  • Grohmann, C. H., & Steiner, S. S. 2008. SRTM resample with Short Distance-Low Nugget Kriging. International Journal of Geographical Information Science, 22(8): 895–906.
    Abstract

    Abstract

    The shuttle radar topography mission (SRTM), was flow on the space shuttle Endeavour in February 2000, with the objective of acquiring a digital elevation model of all land between 60° north latitude and 56° south latitude, using interferometric synthetic aperture radar (InSAR) techniques. The SRTM data are distributed at horizontal resolution of 1 arc‐second (∼30 m) for areas within the USA and at 3 arc‐second (∼90 m) resolution for the rest of the world. A resolution of 90 m can be considered suitable for the small or medium‐scale analysis, but it is too coarse for more detailed purposes. One alternative is to interpolate the SRTM data at a finer resolution; it will not increase the level of detail of the original digital elevation model (DEM), but it will lead to a surface where there is the coherence of angular properties (i.e. slope, aspect) between neighbouring pixels, which is an important characteristic when dealing with terrain analysis. This work intents to show how the proper adjustment of variogram and kriging parameters, namely the nugget effect and the maximum distance within which values are used in interpolation, can be set to achieve quality results on resampling SRTM data from 3” to 1”. We present for a test area in western USA, which includes different adjustment schemes (changes in nugget effect value and in the interpolation radius) and comparisons with the original 1” model of the area, with the national elevation dataset (NED) DEMs, and with other interpolation methods (splines and inverse distance weighted (IDW)). The basic concepts for using kriging to resample terrain data are: (i) working only with the immediate neighbourhood of the predicted point, due to the high spatial correlation of the topographic surface and omnidirectional behaviour of variogram in short distances; (ii) adding a very small random variation to the coordinates of the points prior to interpolation, to avoid punctual artifacts generated by predicted points with the same location than original data points and; (iii) using a small value of nugget effect, to avoid smoothing that can obliterate terrain features. Drainages derived from the surfaces interpolated by kriging and by splines have a good agreement with streams derived from the 1” NED, with correct identification of watersheds, even though a few differences occur in the positions of some rivers in flat areas. Although the 1” surfaces resampled by kriging and splines are very similar, we consider the results produced by kriging as superior, since the spline‐interpolated surface still presented some noise and linear artifacts, which were removed by kriging.
    BibTeX

    BibTeX

                        @article{Grohmann_2008ijgis,
  author = {Grohmann, C. H. and Steiner, S. S.},
  journal = {International Journal of Geographical Information Science},
  title = {{SRTM resample with Short Distance-Low Nugget Kriging}},
  year = {2008},
  number = {8},
  pages = {895--906},
  volume = {22},
  access = {Paywalled},
  citeulike-article-id = {3375636},
  doi = {10.1080/13658810701730152},
  keywords = {grass, kriging, srtm},
  kind = {journal},
  posted-at = {2008-10-04 23:59:50},
  postprint = {https://dx.doi.org/10.17605/OSF.IO/AMN2T},
  timestamp = {2020-12-30-12-48},
  url = {http://dx.doi.org/10.1080/13658810701730152}
}
    Paywalled Postprint (Open Access)

2007

  • Grohmann, C. H., Riccomini, C., & Alves, F. M. 2007. SRTM-based morphotectonic analysis of the Poços de Caldas Alkaline Massif, southeastern Brazil. Computers & Geosciences, 33: 10–19.
    Abstract

    Abstract

    An evaluation of SRTM 03″ data applicability in geomorphology and morphotectonic analysis is proposed, considering the morphometric parameters slope, aspect, surface roughness and isobase surface. The study area, in southeastern Brazil, comprises the Poços de Caldas Alkaline Massif, a 33km-diameter Late Cretaceous collapsed volcanic caldera. Morphometric indices evaluated showed the correlation of landscape within the massif with NE–SW and NW–SE structures, as well as landforms related with recent tectonic influence. DEM-derived drainage presented satisfactory results when compared to a 1:50,000 topographic map. SRTM 03″ proved to be a good resource for geomorphological analysis, up to the semi-detail scale.
    BibTeX

    BibTeX

                        @article{Grohmann2007cageo,
  author = {Grohmann, C. H. and Riccomini, C. and Alves, F. M.},
  journal = {Computers \& Geosciences},
  title = {{SRTM-based morphotectonic analysis of the Po\c cos de Caldas Alkaline Massif, southeastern Brazil}},
  year = {2007},
  pages = {10--19},
  volume = {33},
  access = {Paywalled},
  citeulike-article-id = {3375629},
  doi = {10.1016/j.cageo.2006.05.002},
  keywords = {grass, geomorphometry, isobase, srtm},
  kind = {journal},
  posted-at = {2008-10-04 23:59:50},
  postprint = {https://dx.doi.org/10.17605/OSF.IO/HZ4CT},
  timestamp = {2020-12-30-12-46},
  url = {http://dx.doi.org/10.1016/j.cageo.2006.05.002}
}
    Paywalled Postprint (Open Access)

2006

  • Grohmann, C. H. 2006. r.roughness - a new tool for morphometric analysis in GRASS. GRASS/OSGeo News, 4: 17–19.
    Abstract

    Abstract

    This article briefly describes r.roughness, a shell script written to calculate the surface roughness of raster surfaces.
    BibTeX

    BibTeX

                        @article{Grohmann2006grass,
  author = {Grohmann, C. H.},
  journal = {GRASS/OSGeo News},
  title = {{r.roughness - a new tool for morphometric analysis in GRASS}},
  year = {2006},
  pages = {17--19},
  volume = {4},
  citeulike-article-id = {3375617},
  keywords = {grass, roughness},
  kind = {journal},
  oalink = {http://grass.osgeo.org/newsletter/GRASS_OSGeo_News_vol4-roughness.pdf},
  owner = {guano},
  posted-at = {2008-10-04 23:59:49},
  timestamp = {2020-12-30-12-51}
}
    Open Access

  • Grohmann, C. H. 2006. Resampling SRTM 03”-data with kriging. GRASS/OSGeo News, 4: 20–25.
    Abstract

    Abstract

    The purpose of this article is to present the steps necessary to improve the resolution of a DEM using variogram modelling and kriging, as well as a brief comparison of the results with those obtained with interpolation by Regularised Splines with Tension (RST).
    BibTeX

    BibTeX

                        @article{Grohmann2006srtm,
  author = {Grohmann, C. H.},
  journal = {GRASS/OSGeo News},
  title = {{Resampling SRTM 03''-data with kriging}},
  year = {2006},
  pages = {20--25},
  volume = {4},
  citeulike-article-id = {3375618},
  keywords = {grass, kriging, geostatistics},
  kind = {journal},
  oalink = {http://grass.osgeo.org/newsletter/GRASS_OSGeo_News_vol4-srtm.pdf},
  owner = {guano},
  posted-at = {2008-10-04 23:59:49},
  timestamp = {2020-12-30-12-51}
}
    Open Access

2005

  • Grohmann, C. H. 2005. Trend-surfaces analysis of morphometric parameters: A case study in southeastern Brazil. Computers & Geosciences, 31: 1005–1014.
    Abstract

    Abstract

    Trend-surface analysis was carried out on data from morphometric parameters isobase and hydraulic gradient. The study area, located in the eastern border of Quadrilátero Ferrífero, southeastern Brazil, presents four main geomorphological units, one characterized by fluvial dissection, two of mountainous relief, with a scarp of hundreds of meters of fall between them, and a flat plateau in the central portion of the fluvially-dissected terrains. Morphometric maps were evaluated in GRASS-GIS and statistics were made on R statistical language, using the spatial package. Analysis of Variance (ANOVA) was made to test the significance of each surface and the significance of increasing polynomial degree. The best results were achieved with 6th-order surface for isobase and 2nd-order surface for hydraulic gradient. Shape and orientation of residuals maps contours for selected trends were compared with structures inferred from several morphometric maps, and a good correlation is present.
    BibTeX

    BibTeX

                        @article{Grohmann2005cageo,
  author = {Grohmann, C. H.},
  journal = {Computers \& Geosciences},
  title = {{Trend-surfaces analysis of morphometric parameters: A case study in southeastern Brazil}},
  year = {2005},
  pages = {1005--1014},
  volume = {31},
  access = {Paywalled},
  citeulike-article-id = {3375619},
  doi = {10.1016/j.cageo.2005.02.011},
  keywords = {grass, geomathematics},
  kind = {journal},
  posted-at = {2008-10-04 23:59:49},
  postprint = {https://dx.doi.org/10.17605/OSF.IO/9VU72},
  timestamp = {2020-12-30-12-46},
  url = {http://dx.doi.org/10.1016/j.cageo.2005.02.011}
}
    Paywalled Postprint (Open Access)

2004

  • Grohmann, C. H. 2004. Morphometric analysis in Geographic Information Systems: applications of free software GRASS and R. Computers & Geosciences, 30: 1055–1067.
    Abstract

    Abstract

    Development and interpretation of morphometric maps are important tools in studies related to neotectonics and geomorphology; Geographic Information Systems (GIS) allows speed and precision to this process, but applied methodology will vary according to available tools and degree of knowledge of each researcher about involved software. A methodology to integrate GIS and statistics in morphometric analysis is presented for the most usual morphometric parameters - hypsometry, slope, aspect, swath profiles, lineaments and drainage density, surface roughness, isobase and hydraulic gradient. The GIS used was the Geographic Resources Analysis Support System (GRASS-GIS), an open- source project that offers an integrated environment for raster and vector analysis, image processing and maps/graphics creation. Statistical analysis of parameters can be carried out on R, a system for statistical computation and graphics, through an interface with GRASS that allows raster maps and points files to be treated as variables for analysis. The basic element for deriving morphometric maps is the digital elevation model (DEM). It can be interpolated from scattered points or contours, either in raster or vector format; it is also possible to use DEMs from NASAs Shuttle Radar Topographic Mission, with 30m of ground resolution for the USA and 90m for other countries. Proposed methodology can be adapted according to necessities and available tools. The use of free and open-source tools guarantees access to everyone, and its increasing popularization opens new development perspectives in this research field.
    BibTeX

    BibTeX

                        @article{Grohmann2004cageo,
  author = {Grohmann, C. H.},
  journal = {Computers \& Geosciences},
  title = {{Morphometric analysis in Geographic Information Systems: applications of free software GRASS and R}},
  year = {2004},
  pages = {1055--1067},
  volume = {30},
  access = {Paywalled},
  citeulike-article-id = {3375621},
  doi = {10.1016/j.cageo.2004.08.002},
  keywords = {grass, geomorphometry},
  kind = {journal},
  posted-at = {2008-10-04 23:59:49},
  postprint = {https://dx.doi.org/10.17605/OSF.IO/6VX7C},
  timestamp = {2020-12-30-12-46},
  url = {http://dx.doi.org/10.1016/j.cageo.2004.08.002}
}
    Paywalled Postprint (Open Access)

  • Santos, L. P., Campos Neto, M. C., & Grohmann, C. H. 2004. Metamorphic path constrained by metapelitic rocks from the inner Aiuruoca-Andrelândia nappe, south of the São Francisco Craton, SE Brazil. Journal of South American Earth Sciences, 16: 725–741.
    Abstract

    Abstract

    A Nappe system south to southwest of the São Francisco Craton represents the southern extension of the Brası́lia belt and describes an inverted metamorphic pile of greenschist facies toward amphibolite facies. The Aiuruoca-Andrelândia nappe is one of the nappes of this system. The hind portion of the Aiuruoca-Andrelândia nappe, south of Caxambu and Aiuruoca (MG), consists of a structural-metamorphic domain transported toward the E-NE. There is a metamorphic transition, from the kyanite zone to kyanite and sillimanite coexistence, until the sillimanite zone. Metapelitic rocks preserve high-pressure parageneses (Rt–Ky–Grt–Ms–Bt–Pl–Qtz) and contain retrograde eclogitic rocks. Sil–Pl–Qtz coronitic intergrowths around garnets are common decompressive textures. Kyanite schists register the Pmax of 11 kbar at 660 °C and define a decompressive path until 6–7.5 kbar at 650 °C. These P–T conditions represent the equilibrium in S2 schistosity (amphibolite facies) and the beginning of the cooling path in the Ky–Sil transition. The decompressive path suggests an extrusional process, immediately after burying at about 60 km. Exhumation controlled by convergent events, related to the São Francisco Plate subduction and tectonic erosion, took these units, isothermally, to higher levels (20–33 km). Later, the metamorphic path shifted toward near-isobaric cooling.
    BibTeX

    BibTeX

                        @article{Santos2004jsaes,
  author = {Santos, L. P. and {Campos Neto}, M. C. and Grohmann, C. H.},
  journal = {Journal of South American Earth Sciences},
  title = {{Metamorphic path constrained by metapelitic rocks from the inner Aiuruoca-Andrel\^{a}ndia nappe, south of the S\~{a}o Francisco Craton, SE Brazil}},
  year = {2004},
  pages = {725--741},
  volume = {16},
  access = {Paywalled},
  citeulike-article-id = {3375963},
  doi = {10.1016/j.jsames.2003.12.006},
  kind = {journal},
  posted-at = {2008-10-05 00:00:03},
  timestamp = {2020-12-30-12-46}
}
    Paywalled

 
  /o

Book Chapters

2021

  • Sinisgalli, P. A. A., & Grohmann, C. H. 2021. Programa de Pós-Graduação em Ciência Ambiental da USP e os Objetivos de Desenvolvimento Sustentável. In C. A. C. Sampaio & A. Philippi Junior (Eds.), Impacto das Ciências Ambientais na Agenda 2030 da ONU (pp. 163–177). Instituto de Estudos Avançados USP.
    BibTeX

    BibTeX

                        @inbook{Sinisgalli2021procam,
  author = {Sinisgalli, P. A. A. and Grohmann, C. H.},
  editor = {Sampaio, C. A. C. and {Philippi Junior}, A.},
  pages = {163--177},
  publisher = {Instituto de Estudos Avançados USP},
  title = {{Programa de Pós-Graduação em Ciência Ambiental da USP e os Objetivos de Desenvolvimento Sustentável}},
  year = {2021},
  booktitle = {{Impacto das Ciências Ambientais na Agenda 2030 da ONU}},
  doi = {10.11606/9786587773186},
  owner = {guano},
  posted-at = {2008-10-05 00:00:02},
  timestamp = {2020-12-30-20-23}
}
    Paywalled

  • Smith, M. J., Otto, J.-C., Moore, A. B., Grohmann, C. H., Hillier, J., & Geilhausen, M. 2021. Reference Module in Earth Systems and Environmental Sciences. Elsevier.
    BibTeX

    BibTeX

                        @inbook{Smith2021,
  author = {Smith, Mike J. and Otto, Jan-Christoph and Moore, Antoni B. and Grohmann, Carlos H. and Hillier, John and Geilhausen, Martin},
  chapter = {{Geovisualization}},
  publisher = {Elsevier},
  title = {{Reference Module in Earth Systems and Environmental Sciences}},
  year = {2021},
  isbn = {978-0-12-409548-9},
  doi = {10.1016/B978-0-12-818234-5.00147-4},
  keywords = {Augmented reality, Cartography, DEM, Filter, Globe, HCI, Interactivity, Kernel, Legend, Map, Symbol, Terrain, Virtual reality, Visualization},
  timestamp = {2022-03-23-22-20},
  url = {https://doi.org/10.1016/B978-0-12-818234-5.00147-4}
}
    Paywalled

2020

  • Cracraft, J., Camila Ribas, C., d’Horta, F. M., Bates, J., Almeida, R. P., Aleixo, A., Boubli, J. P., Campbell, K. E., Cruz, F. W., Ferreira, M., Fritz, S. C., Grohmann, C. H., Latrubesse, E. M., Lohmann, L. G., Musher, L. J., Nogueira, A., Sawakuchi, A. O., & Baker, P. 2020. Neotropical Diversification: Patterns and Processes. In V. Rull & A. C. Carnaval (Eds.), (pp. 225–244). Cham: Springer International Publishing.
    Abstract

    Abstract

    We identify key interdisciplinary questions and approaches to understanding the paleogeographic and biotic history of Amazonia. We discuss the importance of comparing evolutionary taxonomic units across groups and considering their particular environmental affinities as a framework for a mechanistic understanding of how the diversity of Amazonia was assembled across space and time. Although lineage diversity of the Amazonian biota is often quite old, current evidence indicates that much of Amazonia’s observed “species-level” diversity, as exemplified by birds, mammals, and butterflies, is young, mostly dating to the Quaternary. Much of the modern Amazonian landscape, including in particular its hydrological and environmental systems, was shaped over the Pliocene and Quaternary (last 5 Ma), yet significant landscape change affecting the evolution of biotas is less than 2 million years old.
    BibTeX

    BibTeX

                        @inbook{Cracraft2020,
  author = {Cracraft, J. and Camila Ribas, C. and d'Horta, F. M. and Bates, J. and Almeida, R. P. and Aleixo, A. and Boubli, J. P. and Campbell, K. E. and Cruz, F. W. and Ferreira, M. and Fritz, S. C. and Grohmann, C. H. and Latrubesse, E. M. and Lohmann, L. G. and Musher, L. J. and Nogueira, A. and Sawakuchi, A. O. and Baker, P.},
  chapter = {{The Origin and Evolution of Amazonian Species Diversity}},
  editor = {Rull, Valent{\'i} and Carnaval, Ana Carolina},
  pages = {225--244},
  publisher = {Springer International Publishing},
  title = {{Neotropical Diversification: Patterns and Processes}},
  year = {2020},
  address = {Cham},
  isbn = {978-3-030-31167-4},
  access = {Paywalled},
  doi = {10.1007/978-3-030-31167-4_10},
  timestamp = {2021-07-12},
  url = {https://doi.org/10.1007/978-3-030-31167-4_10}
}
    Paywalled

2019

  • Viana*, C. D., A., E., Grohmann, C. H., P., M. J., & Campanha, G. A. C. 2019. Rock Mechanics for Natural Resources and Infrastructure Development - Full Papers: Proceedings of the 14th International Congress on Rock Mechanics and Rock Engineering (ISRM 2019). In S. A. B. Fontoura, R. J. Rocca, & J. P. Mendoza (Eds.), (pp. 560–566). Foz do Iguassu, Brazil: CRC Press.
    BibTeX

    BibTeX

                        @inbook{Viana2019isrm1,
  author = {Viana*, C. D. and A., Endlein and Grohmann, C. H. and P., Monticelli J. and Campanha, G. A. C.},
  chapter = {{SfM-MVS digital models applied to rock surface roughness}},
  editor = {Fontoura, S. A. B. and Rocca, R. J. and Mendoza, J. P.},
  pages = {560-566},
  publisher = {CRC Press},
  title = {Rock Mechanics for Natural Resources and Infrastructure Development - Full Papers: Proceedings of the 14th International Congress on Rock Mechanics and Rock Engineering (ISRM 2019)},
  year = {2019},
  address = {Foz do Iguassu, Brazil},
  isbn = {978-0-367-42284-4},
  month = sep,
  access = {Paywalled},
  doi = {10.1201/9780367823184},
  timestamp = {2020-12-30},
  url = {https://doi.org/10.1201/9780367823184}
}
    Paywalled

  • Viana*, C. D., Grohmann, C. H., P., M. J., Garcia*, G. P. B., W., A. R., Cacciari, P. P., & Futai, M. M. 2019. Rock Mechanics for Natural Resources and Infrastructure Development - Full Papers: Proceedings of the 14th International Congress on Rock Mechanics and Rock Engineering (ISRM 2019). In S. A. B. Fontoura, R. J. Rocca, & J. P. Mendoza (Eds.), (pp. 3604–3611). Foz do Iguassu, Brazil: CRC Press.
    BibTeX

    BibTeX

                        @inbook{Viana2019isrm2,
  author = {Viana*, C. D. and Grohmann, C. H. and P., Monticelli J. and Garcia*, G. P. B. and W., Albuquerque*. R. and Cacciari, P. P. and Futai, M. M.},
  chapter = {{Slope stability assessment based on a digital outcrop model: A case-study at Jardim Garcia quarry}},
  editor = {Fontoura, S. A. B. and Rocca, R. J. and Mendoza, J. P.},
  pages = {3604-3611},
  publisher = {CRC Press},
  title = {Rock Mechanics for Natural Resources and Infrastructure Development - Full Papers: Proceedings of the 14th International Congress on Rock Mechanics and Rock Engineering (ISRM 2019)},
  year = {2019},
  address = {Foz do Iguassu, Brazil},
  isbn = {978-0-367-42284-4},
  month = sep,
  access = {Paywalled},
  doi = {10.1201/9780367823184},
  timestamp = {2020-12-30},
  url = {https://doi.org/10.1201/9780367823184}
}
    Paywalled

2014

  • Grohmann, C. H., & Hargitai, H. 2014. Surface Roughness. In Encyclopedia of Planetary Landforms (pp. 1–4). Springer New York.
    BibTeX

    BibTeX

                        @inbook{Grohmann2014encyclopedia,
  author = {Grohmann, C. H. and Hargitai, Henrik},
  pages = {1-4},
  publisher = {Springer New York},
  title = {{Surface Roughness}},
  year = {2014},
  access = {Paywalled},
  booktitle = {Encyclopedia of Planetary Landforms},
  doi = {10.1007/978-1-4614-9213-9_633-1},
  language = {English},
  timestamp = {2020-08-04},
  url = {http://dx.doi.org/10.1007/978-1-4614-9213-9_633-1}
}
    Paywalled

2008

  • Riccomini, C., Grohmann, C. H., Sant’Anna, L. G., & Hiruma, S. T. 2008. O geógrafo Aziz Nacib Ab’Sáber. In M. C. Modenesi-Gauttieri, A. Bartorelli, M. A. L. Lisboa, & V. Mantesso Neto (Eds.), (pp. 157–169). Becca.
    BibTeX

    BibTeX

                        @inbook{Riccomini2008aziz,
  author = {Riccomini, C. and Grohmann, C. H. and {Sant'Anna}, L. G. and Hiruma, S. T.},
  chapter = {{A captura das cabeceiras do Rio Tiet\^{e} pelo Rio Para\'{i}ba do Sul}},
  editor = {{Modenesi-Gauttieri}, M. C. and Bartorelli, A. and Lisboa, M. A. L. and {Mantesso Neto}, V.},
  pages = {157--169},
  publisher = {Becca},
  title = {{O ge\'{o}grafo Aziz Nacib Ab'S\'{a}ber}},
  year = {2008},
  citeulike-article-id = {3375924},
  posted-at = {2008-10-05 00:00:02},
  timestamp = {2020-12-30}
}

 
 

Selected Abstracts/Conference Papers

(This list changes constantly. Check the Bib/RIS file to see all abstracts. )

2022

  • Affonso*, A. A., Mandai, S. S., Portella, T. P., Quintanilha, J. A., & Grohmann, C. H. 2022. Tracking Land Use and Land Cover Changes in the Volta Grande Do Xingu(PARÁ - Brazil) Between 2000 and 2017 Through Three Pixel-Based Classification Methods. In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 5630–5633).
    BibTeX

    BibTeX

                        @inproceedings{Affonso2022,
  author = {Affonso*, Alynne Almeida and Mandai, Silvia Sayuri and Portella, Tatiana Pineda and Quintanilha, José Alberto and Grohmann, Carlos Henrique},
  booktitle = {{IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium}},
  title = {{Tracking Land Use and Land Cover Changes in the Volta Grande Do Xingu(PARÁ - Brazil) Between 2000 and 2017 Through Three Pixel-Based Classification Methods}},
  year = {2022},
  pages = {5630-5633},
  creationdate = {2022-10-10T16:04:20},
  doi = {10.1109/IGARSS46834.2022.9884422},
  modificationdate = {2022-10-10T16:31:30},
  owner = {guano},
  selection = {yes}
}
    Paywalled

2021

  • Dias*, H. C., Hölbling, D., & Grohmann, C. H. 2021. Landslide inventory mapping in Brazil: Status and challenges. In SCG-XIII International Symposium on Landslides. Cartagena, Colombia.
    BibTeX

    BibTeX

                        @inproceedings{Dias2021isl,
  author = {Dias*, H. C. and H{\"o}lbling, D. and Grohmann, C. H.},
  booktitle = {SCG-XIII International Symposium on Landslides},
  title = {{Landslide inventory mapping in Brazil: Status and challenges}},
  year = {2021},
  address = {Cartagena, Colombia},
  selection = {yes},
  timestamp = {2020-08-04}
}

2019

  • Albuquerque*, R. W., Ferreira, M. E., Girão, V. J., Balieiro, C. P., Mansur, H., Costa, J. V. S., & Grohmann, C. H. 2019. Comparação de RPAS e TOPODATA no mapeamento de regiões declivosas previstas no Cadastro Ambiental Rural. In XIX Brazilian Symposium on Remote Sensing (Vol. 17, p. 96426). Santos, SP.: Galoa.
    BibTeX

    BibTeX

                        @inproceedings{Albuquerque2019sbsr,
  author = {Albuquerque*, R. W. and Ferreira, M. E. and Girão, V. J. and Balieiro, C. P. and Mansur, H. and Costa, J. V. S. and Grohmann, C. H.},
  booktitle = {XIX Brazilian Symposium on Remote Sensing},
  title = {{Comparação de RPAS e TOPODATA no mapeamento de regiões declivosas previstas no Cadastro Ambiental Rural}},
  year = {2019},
  address = {Santos, SP.},
  note = {ISBN: 978-85-17-00097-3},
  pages = {96426},
  publisher = {Galoa},
  volume = {17},
  oalink = {https://proceedings.science/sbsr-2019/papers/comparacao-de-rpas-e-topodata-no-mapeamento-de-regioes-declivosas-previstas-no-cadastro-ambiental-rural},
  selection = {yes},
  timestamp = {2020-08-04}
}
    Open Access

  • Barale*, F., & Grohmann, C. H. 2019. Photoscan x COLMAP: comparação entre DEMs gerados por Structure from Motion–Multi-View Stereo. In XIX Brazilian Symposium on Remote Sensing (Vol. 17, p. 95942). Santos, SP.: Galoa.
    BibTeX

    BibTeX

                        @inproceedings{Barale2019sbsr,
  author = {Barale*, F. and Grohmann, C. H.},
  booktitle = {XIX Brazilian Symposium on Remote Sensing},
  title = {{Photoscan x COLMAP: comparação entre DEMs gerados por Structure from Motion–Multi-View Stereo}},
  year = {2019},
  address = {Santos, SP.},
  note = {ISBN: 978-85-17-00097-3},
  pages = {95942},
  publisher = {Galoa},
  volume = {17},
  oalink = {https://proceedings.science/sbsr-2019/papers/photoscan-x-colmap-comparacao-entre-dems-gerados-por-structure-from-motion-multi-view-stereo},
  selection = {yes},
  timestamp = {2020-08-04}
}
    Open Access

  • Garcia*, G. P. B., Gomes*, E. B., Viana*, C. D., & Grohmann, C. H. 2019. Comparing Terrestrial Laser Scanner and UAV-based photogrammetry to generate a landslide DEM. In XIX Brazilian Symposium on Remote Sensing (Vol. 17, p. 95863). Santos, SP.: Galoa.
    BibTeX

    BibTeX

                        @inproceedings{Garcia2019sbsr,
  author = {Garcia*, G. P. B and Gomes*, E. B. and Viana*, C. D. and Grohmann, C. H.},
  booktitle = {XIX Brazilian Symposium on Remote Sensing},
  title = {{Comparing Terrestrial Laser Scanner and UAV-based photogrammetry to generate a landslide DEM}},
  year = {2019},
  address = {Santos, SP.},
  note = {ISBN: 978-85-17-00097-3},
  pages = {95863},
  publisher = {Galoa},
  volume = {17},
  oalink = {https://proceedings.science/sbsr-2019/papers/comparing-terrestrial-laser-scanner-and-uav-based-photogrammetry-to-generate-a-landslide-dem},
  selection = {yes},
  timestamp = {2020-08-04}
}
    Open Access

  • Grohmann, C. H., Viana*, C. D., Garcia*, G. P. B., Albuquerque*, R. W., Barale*, F., & Ferretti*, F. A. 2019. Semi-Automatic UAV-based SfM survey of vertical surfaces. In XIX Brazilian Symposium on Remote Sensing (Vol. 17, p. 95586). Santos, SP.: Galoa.
    BibTeX

    BibTeX

                        @inproceedings{Grohmann2019sbsr,
  author = {Grohmann, C. H. and Viana*, C. D. and Garcia*, G. P. B and Albuquerque*, R. W. and Barale*, F. and Ferretti*, F. A.},
  booktitle = {XIX Brazilian Symposium on Remote Sensing},
  title = {{Semi-Automatic UAV-based SfM survey of vertical surfaces}},
  year = {2019},
  address = {Santos, SP.},
  note = {ISBN: 978-85-17-00097-3},
  pages = {95586},
  publisher = {Galoa},
  volume = {17},
  oalink = {https://proceedings.science/sbsr-2019/papers/semi-automatic-uav-based-sfm-survey-of-vertical-surfaces},
  selection = {yes},
  timestamp = {2020-08-04}
}
    Open Access

  • Santos*, L. F., & Grohmann, C. H. 2019. Processamento fotogramétrico digital por Structure from Motion de imagens obtidas em voos de diferentes alturas sobre o solo. In XIX Brazilian Symposium on Remote Sensing (Vol. 17, p. 97009). Santos, SP.: Galoa.
    BibTeX

    BibTeX

                        @inproceedings{Santos2019sbsr,
  author = {Santos*, L. F. and Grohmann, C. H.},
  booktitle = {XIX Brazilian Symposium on Remote Sensing},
  title = {{Processamento fotogramétrico digital por Structure from Motion de imagens obtidas em voos de diferentes alturas sobre o solo}},
  year = {2019},
  address = {Santos, SP.},
  note = {ISBN: 978-85-17-00097-3},
  pages = {97009},
  publisher = {Galoa},
  volume = {17},
  oalink = {https://proceedings.science/sbsr-2019/papers/processamento-fotogrametrico-digital-por-structure-from-motion-de-imagens-obtidas-em-voos-de-diferentes-alturas-sobre-o-},
  selection = {yes},
  timestamp = {2020-08-04}
}
    Open Access

2010

  • Grohmann, C. H., & Campanha, G. A. C. 2010. OpenStereo: Open Source, Cross-Platform Software for Structural Geology Analysis. In Abstract IN31C-06 presented at 2010 Fall Meeting. San Francisco, California: American Geophysical Union.
    BibTeX

    BibTeX

                        @inproceedings{Grohmann2010agu,
  author = {Grohmann, C. H. and Campanha, G. A. C.},
  booktitle = {Abstract IN31C-06 presented at 2010 Fall Meeting},
  title = {{OpenStereo: Open Source, Cross-Platform Software for Structural Geology Analysis}},
  year = {2010},
  address = {San Francisco, California},
  publisher = {American Geophysical Union},
  oalink = {https://abstractsearch.agu.org/meetings/2010/FM/IN31C-06.html},
  owner = {guano},
  selection = {yes},
  timestamp = {2011.01.06}
}
    Open Access

 
 

Datasets

Here you will find direct links to large datasets (point clouds, RPA images). If you are looking for the scripts and codes that go alogn with the articles, they are in GitHub, both in my own Repo and in the SPAMLab Repo.
 

2023

  • Grohmann, C. H. 2023. Viana Beach, Ilhabela, São Paulo State, Brazil. RPA Image Collection. Data provided by FAPESP grant #2019/26568-0, distributed by GeoNadir. Retrieved from https://data.geonadir.com/project-details/1723
    BibTeX

    BibTeX

                        @misc{Grohmann2023_ilhabela,
  author = {Grohmann, C. H.},
  howpublished = {Data provided by FAPESP grant \#2019/26568-0, distributed by GeoNadir},
  title = {{Viana Beach, Ilhabela, São Paulo State, Brazil. RPA Image Collection.}},
  year = {2023},
  access = {Open Access},
  kind = {dataset},
  oalink = {https://data.geonadir.com/project-details/1723},
  url = {https://data.geonadir.com/project-details/1723}
}
    Open Access

  • Guth, P. L., Grohmann, C. H., Trevisani, S., & López-Vázquez, C. 2023. DEMIX 1” Reference DEMs version 1.0. Zenodo.
    BibTeX

    BibTeX

                        @misc{Guth_demix_refdems,
  author = {Guth, P. L. and Grohmann, C. H. and Trevisani, S. and {López-Vázquez}, C.},
  title = {{DEMIX 1'' Reference DEMs version 1.0}},
  year = {2023},
  access = {Open Access},
  doi = {https://doi.org/10.5281/zenodo.7600699},
  kind = {dataset},
  modificationdate = {2023-07-27T13:48:24},
  oalink = {https://doi.org/10.5281/zenodo.7600699},
  publisher = {Zenodo},
  url = {https://doi.org/10.5281/zenodo.7600699}
}
    Open Access

2022

  • Grohmann, C. H. 2022. CEU Paz, São Paulo State, Brazil. UAV Image Collection. Data provided by FAPESP grant #2019/26568-0, distributed by GeoNadir. Retrieved from https://data.geonadir.com/project-details/797
    BibTeX

    BibTeX

                        @misc{Grohmann2022_uav_ceu_paz,
  author = {Grohmann, C. H.},
  howpublished = {Data provided by FAPESP grant \#2019/26568-0, distributed by GeoNadir},
  title = {{CEU Paz, São Paulo State, Brazil. UAV Image Collection.}},
  year = {2022},
  access = {Open Access},
  kind = {dataset},
  oalink = {https://data.geonadir.com/project-details/797},
  url = {https://data.geonadir.com/project-details/797}
}
    Open Access

  • Grohmann, C. H. 2022. Santa Madalena I (Jardim Elba), São Paulo State, Brazil. UAV Image Collection. Data provided by FAPESP grant #2019/26568-0, distributed by GeoNadir. Retrieved from https://data.geonadir.com/project-details/798
    BibTeX

    BibTeX

                        @misc{Grohmann2022_uav_sta_madalena,
  author = {Grohmann, C. H.},
  howpublished = {Data provided by FAPESP grant \#2019/26568-0, distributed by GeoNadir},
  title = {{Santa Madalena I (Jardim Elba), São Paulo State, Brazil. UAV Image Collection.}},
  year = {2022},
  access = {Open Access},
  kind = {dataset},
  oalink = {https://data.geonadir.com/project-details/798},
  url = {https://data.geonadir.com/project-details/798}
}
    Open Access

  • Grohmann, C. H., & Gomes, F. 2022. Digital Terrain and Surface Models of São Paulo.
    BibTeX

    BibTeX

                        @misc{Grohmann2022_dsm_dtm_pmsp_kaggle,
  author = {Grohmann, C. H. and Gomes, F.},
  title = {{Digital Terrain and Surface Models of São Paulo}},
  year = {2022},
  access = {Open Access},
  doi = {10.34740/KAGGLE/DS/1915612},
  kind = {dataset},
  modificationdate = {2022-02-15T12:52:59},
  oalink = {10.34740/KAGGLE/DS/1915612},
  timestamp = {2022-02-15},
  url = {10.34740/KAGGLE/DS/1915612}
}
    Open Access

2021

  • Grohmann, C. H. 2021. Lagoinha Landslide, São Paulo State, Brazil. UAV Image Collection. Data provided by FAPESP grant #2016/06628-0, distributed by GeoNadir. Retrieved from https://data.geonadir.com/project-details/339
    BibTeX

    BibTeX

                        @misc{Grohmann2021_uav_lagoinha,
  author = {Grohmann, C. H.},
  howpublished = {Data provided by FAPESP grant \#2016/06628-0, distributed by GeoNadir},
  title = {{Lagoinha Landslide, São Paulo State, Brazil. UAV Image Collection.}},
  year = {2021},
  access = {Open Access},
  kind = {dataset},
  modificationdate = {2022-10-10T14:41:43},
  oalink = {https://data.geonadir.com/project-details/339},
  url = {https://data.geonadir.com/project-details/339}
}
    Open Access

  • Grohmann, C. H. 2021. Toque-Toque Grande Landslide, São Paulo State, Brazil. RPA Image Collection. Data provided by FAPESP grant #2019/26568-0, distributed by GeoNadir. Retrieved from https://data.geonadir.com/project-details/537
    BibTeX

    BibTeX

                        @misc{Grohmann2021_uav_ttg,
  author = {Grohmann, C. H.},
  howpublished = {Data provided by FAPESP grant \#2019/26568-0, distributed by GeoNadir},
  title = {{Toque-Toque Grande Landslide, São Paulo State, Brazil. RPA Image Collection.}},
  year = {2021},
  access = {Open Access},
  kind = {dataset},
  oalink = {https://data.geonadir.com/project-details/537},
  url = {https://data.geonadir.com/project-details/537}
}
    Open Access

  • Grohmann, C. H. 2021. Toque-Toque Grande Landslide, São Paulo State, Brazil. UAV Image Collection. Data provided by FAPESP grant #2019/26568-0, distributed by GeoNadir. Retrieved from https://data.geonadir.com/project-details/537
    BibTeX

    BibTeX

                        @misc{Grohmann2021_uav_tth,
  author = {Grohmann, C. H.},
  howpublished = {Data provided by FAPESP grant \#2019/26568-0, distributed by GeoNadir},
  title = {{Toque-Toque Grande Landslide, São Paulo State, Brazil. UAV Image Collection.}},
  year = {2021},
  access = {Open Access},
  kind = {dataset},
  oalink = {https://data.geonadir.com/project-details/537},
  url = {https://data.geonadir.com/project-details/537}
}
    Open Access

2020

  • Grohmann, C. H. 2020. Garopaba Dune Field, Brazil, Santa Catarina State, Brazil. UAV Image Collection. Data provided by FAPESP grant #2016/06628-0, distributed by GeoNadir. Retrieved from https://data.geonadir.com/project-details/334
    BibTeX

    BibTeX

                        @misc{Grohmann2020_uav_garopaba,
  author = {Grohmann, C. H.},
  howpublished = {Data provided by FAPESP grant \#2016/06628-0, distributed by GeoNadir},
  title = {{Garopaba Dune Field, Brazil, Santa Catarina State, Brazil. UAV Image Collection.}},
  year = {2020},
  access = {Open Access},
  kind = {dataset},
  oalink = {https://data.geonadir.com/project-details/334},
  url = {https://data.geonadir.com/project-details/334}
}
    Open Access

2019

  • Grohmann, C. H. 2019. Lagoinha Landslide, São Paulo State, Brazil. SfM-MVS point cloud. Data provided by FAPESP grant #2016/06628-0, distributed by OpenTopography.
    BibTeX

    BibTeX

                        @misc{Grohmann2019otopo-lagoinha-sfm,
  author = {Grohmann, C. H.},
  howpublished = {Data provided by FAPESP grant \#2016/06628-0, distributed by OpenTopography},
  note = {opentopoID: OTDS.082019.32723.1},
  title = {{Lagoinha Landslide, São Paulo State, Brazil. SfM-MVS point cloud}},
  year = {2019},
  access = {Open Access},
  doi = {10.5069/G94F1NWJ},
  kind = {dataset},
  oalink = {https://doi.org/10.5069/G94F1NWJ},
  timestamp = {2020-08-04},
  url = {https://doi.org/10.5069/G94F1NWJ}
}
    Open Access

  • Grohmann, C. H. 2019. Lagoinha Landslide, São Paulo State, Brazil. TLS point cloud. Data provided by FAPESP grant #2016/06628-0, distributed by OpenTopography.
    BibTeX

    BibTeX

                        @misc{Grohmann2019otopo-lagoinha-tls,
  author = {Grohmann, C. H.},
  howpublished = {Data provided by FAPESP grant \#2016/06628-0, distributed by OpenTopography},
  note = {opentopoID: OTDS.082019.32723.2},
  title = {{Lagoinha Landslide, São Paulo State, Brazil. TLS point cloud}},
  year = {2019},
  access = {Open Access},
  doi = {10.5069/G90P0X57},
  kind = {dataset},
  oalink = {https://doi.org/10.5069/G90P0X57},
  timestamp = {2020-08-04},
  url = {https://doi.org/10.5069/G90P0X57}
}
    Open Access

  • Grohmann, C. H. 2019. Garopaba Dune Field, Santa Catarina State, Brazil. SfM-MVS point cloud. Data provided by FAPESP grant #2016/06628-0, distributed by OpenTopography.
    BibTeX

    BibTeX

                        @misc{Grohmann2019otopo-sfm-dune,
  author = {Grohmann, C. H.},
  howpublished = {Data provided by FAPESP grant \#2016/06628-0, distributed by OpenTopography},
  note = {opentopoID: OTDS.072019.32722.1},
  title = {{Garopaba Dune Field, Santa Catarina State, Brazil. SfM-MVS point cloud}},
  year = {2019},
  access = {Open Access},
  doi = {10.5069/G9DV1H19},
  kind = {dataset},
  oalink = {https://doi.org/10.5069/G9DV1H19},
  timestamp = {2020-08-04},
  url = {https://doi.org/10.5069/G9DV1H19}
}
    Open Access

  • Grohmann, C. H., Garcia, G. P. B., Affonso, A. A., & Albuquerque, R. W. 2019. Garopaba Dune Field, Santa Catarina State, Brazil. TLS point cloud. Data provided by FAPESP grant #2016/06628-0, distributed by OpenTopography.
    BibTeX

    BibTeX

                        @misc{Grohmann2019otopo-tls-dune,
  author = {Grohmann, C. H. and Garcia, G. P. B. and Affonso, A. A. and Albuquerque, R. W.},
  howpublished = {Data provided by FAPESP grant \#2016/06628-0, distributed by OpenTopography},
  note = {opentopoID: OTDS.102019.32722.1},
  title = {{Garopaba Dune Field, Santa Catarina State, Brazil. TLS point cloud}},
  year = {2019},
  access = {Open Access},
  doi = {10.5069/G9CN7228},
  kind = {dataset},
  oalink = {https://doi.org/10.5069/G9CN7228},
  timestamp = {2020-08-04},
  url = {https://doi.org/10.5069/G9CN7228}
}
    Open Access

2010

  • Grohmann, C. H. 2010. Coastal Dune Fields of Garopaba and Vila Nova, Santa Catarina State, Brazil. Airborne LiDAR. Data provided by FAPESP grant #2009/17675-5, distributed by OpenTopography.
    BibTeX

    BibTeX

                        @misc{Grohmann2010otopo,
  author = {Grohmann, C. H.},
  howpublished = {Data provided by FAPESP grant \#2009/17675-5, distributed by OpenTopography},
  note = {OT Collection ID: OT.032013.32722.1},
  title = {{Coastal Dune Fields of Garopaba and Vila Nova, Santa Catarina State, Brazil. Airborne LiDAR}},
  year = {2010},
  access = {Open Access},
  doi = {10.5069/G9DN430Z},
  kind = {dataset},
  oalink = {http://dx.doi.org/10.5069/G9DN430Z},
  timestamp = {2020-08-04},
  url = {http://dx.doi.org/10.5069/G9DN430Z}
}
    Open Access

 
 

Magazine Articles

2007

  • Grohmann, C. H. 2007. r.roughness - a new tool for morphometric analysis in GRASS. Position IT, March/April: 31–32.
    BibTeX

    BibTeX

                        @article{Grohmann2007positionIT,
  author = {Grohmann, C. H.},
  journal = {Position IT},
  title = {{r.roughness - a new tool for morphometric analysis in GRASS}},
  year = {2007},
  pages = {31--32},
  volume = {March/April},
  citeulike-article-id = {3375616},
  keywords = {grass, roughness},
  kind = {magazine},
  posted-at = {2008-10-04 23:59:49},
  timestamp = {2020-12-30}
}

2005

  • Grohmann, C. H., & Roldan, L. F. 2005. Geomorfologia de terrenos cársticos. Quebra-Corpo, 12: 2–3.
    BibTeX

    BibTeX

                        @article{Grohmann2005gpme,
  author = {Grohmann, C. H. and Roldan, L. F.},
  journal = {Quebra-Corpo},
  title = {{Geomorfologia de terrenos c\'{a}rsticos}},
  year = {2005},
  pages = {2--3},
  volume = {12},
  citeulike-article-id = {3375635},
  keywords = {karst, speleology, geomorphology},
  kind = {magazine},
  owner = {guano},
  posted-at = {2008-10-04 23:59:50},
  timestamp = {2020-12-30}
}

2004

  • Grohmann, C. H., Lobo, A., & Padial, R. 2004. Topografia da Lapa do Didi, Chapada Diamantina, BA. O Carste, 16: 124–125.
    BibTeX

    BibTeX

                        @article{Grohmann2004carste,
  author = {Grohmann, C. H. and Lobo, A. and Padial, R.},
  journal = {O Carste},
  title = {{Topografia da Lapa do Didi, Chapada Diamantina, BA}},
  year = {2004},
  pages = {124--125},
  volume = {16},
  citeulike-article-id = {3375627},
  keywords = {speleology},
  kind = {magazine},
  posted-at = {2008-10-04 23:59:50}
}

 
 

GRASS-GIS Tutorials and Add-ons

Tutorials

2016

  • Grohmann, C. H. 2016. Geoprocessamento com GRASS-GIS. Instituto de Energia e Ambiente, Universidade de São Paulo, São Paulo.
    BibTeX

    BibTeX

                        @techreport{Grohmann2016grass,
  author = {Grohmann, C. H.},
  institution = {Instituto de Energia e Ambiente, Universidade de S\~{a}o Paulo, S\~{a}o Paulo.},
  title = {{Geoprocessamento com GRASS-GIS}},
  year = {2016},
  kind = {grasstut},
  oalink = {http://dx.doi.org/10.6084/m9.figshare.3502184},
  owner = {guano},
  timestamp = {2009.09.19}
}
    Open Access

2012

  • Grohmann, C. H. 2012. Geoprocessamento com Software Livre: GRASS-GIS e QGIS. Instituto de Geociências, Universidade de São Paulo, São Paulo.
    BibTeX

    BibTeX

                        @techreport{Grohmann2012grass,
  author = {Grohmann, C. H.},
  institution = {Instituto de Geoci\^{e}ncias, Universidade de S\~{a}o Paulo, S\~{a}o Paulo.},
  title = {{Geoprocessamento com Software Livre: GRASS-GIS e QGIS}},
  year = {2012},
  kind = {grasstut},
  oalink = {http://dx.doi.org/10.6084/m9.figshare.1004165},
  owner = {guano},
  timestamp = {2009.09.19}
}
    Open Access

2009

  • Grohmann, C. H. 2009. A very brief introduction to GRASS-GIS using the fishcamp dataset. Instituto de Geociências, Universidade de São Paulo, São Paulo.
    BibTeX

    BibTeX

                        @techreport{Grohmann2009grass,
  author = {Grohmann, C. H.},
  institution = {Instituto de Geoci\^{e}ncias, Universidade de S\~{a}o Paulo, S\~{a}o Paulo.},
  title = {{A very brief introduction to GRASS-GIS using the fishcamp dataset}},
  year = {2009},
  kind = {grasstut},
  oalink = {http://dx.doi.org/10.6084/m9.figshare.1004168},
  owner = {guano},
  timestamp = {2009.09.19}
}
    Open Access

2008

  • Grohmann, C. H. 2008. Introdução ao geoprocessamento e à análise digital de terreno com software livre. Instituto de Geociências, Universidade de São Paulo, São Paulo.
    BibTeX

    BibTeX

                        @techreport{Grohmann2008grass,
  author = {Grohmann, C. H.},
  institution = {Instituto de Geoci\^{e}ncias, Universidade de S\~{a}o Paulo, S\~{a}o Paulo.},
  title = {{Introdu\c c\~{a}o ao geoprocessamento e \`{a} an\'{a}lise digital de terreno com software livre}},
  year = {2008},
  kind = {grasstut},
  oalink = {http://dx.doi.org/10.6084/m9.figshare.1004167},
  owner = {guano},
  timestamp = {2009.09.19}
}
    Open Access

Add-ons

r.denoise.py – is a port of r.denoise from bash to python. Originally written by John Stevenson, its purpose is to remove noise (smooth/despeckle) from topographic data, particular DEMs derived from radar data (including SRTM), using Xianfang Sun’s denoising algorithm. It is designed to preserve sharp edges and to denoise with minimal changes to the original data.

r.roughness.vector.py – is a python script to calculate the surface roughness of a DEM as vector dispersion, using a moving-window approach (Grohmann et al., 2011. IEEE Trans.Geos.Rem.Sens.).
Resulting maps are: Vector Strength (R) and Inverted Fisher’s k parameter. This script is updated for GRASS-GIS version 7. Contributions to the code by Helmut Kudrnovsky.

(old) r.roughness – is a GRASS-GIS (versions 6.1 or above) shell script to calculate the surface roughness of a DEM, using r.surf.area and v.surf.rst. (uses sh as shell. Use r.roughness_bash, if you run bash).

(old) r.roughness60 – for GRASS-GIS versions 6.0.x.

(old) azimuth.c – is a small C program to calculate the azimuth and length of vector lines exported by GRASS-GIS as ASCII files. It is useful for create rose diagrams of lineament maps. Improvements on the original code after suggestions by Örs Téglásy, Hungary.

See all GRASS AddOns

You can also check the code for these AddOns at my GitHub page.

 
 

Theses (Mixed Portuguese and English)

2015

  • Grohmann, C. H. 2015. Análise Digital de Terreno: Aplicações em Geologia e Geomorfologia. Tese de Livre-Docência. Instituto de Geociências, Universidade de São Paulo, São Paulo.
    BibTeX

    BibTeX

                        @phdthesis{Grohmann2015ld,
  author = {Grohmann, C. H.},
  school = {Instituto de Geoci\^{e}ncias, Universidade de S\~{a}o Paulo, S\~{a}o Paulo.},
  title = {{Análise Digital de Terreno: Aplicações em Geologia e Geomorfologia}},
  year = {2015},
  month = {agosto},
  type = {Tese de Livre-Docência},
  access = {Open Access},
  doi = {10.11606/T.106.2019.tde-30072019-161617},
  link = {https://doi.org/10.11606/T.106.2019.tde-30072019-161617},
  oalink = {https://doi.org/10.11606/T.106.2019.tde-30072019-161617},
  timestamp = {2020-12-30}
}
    Open Access

2008

  • Grohmann, C. H. 2008. Análise digital de terreno do centro-leste brasileiro. PhD thesis. Instituto de Geociências, Universidade de São Paulo, São Paulo.
    BibTeX

    BibTeX

                        @phdthesis{Grohmann2008phd,
  author = {Grohmann, C. H.},
  school = {Instituto de Geoci\^{e}ncias, Universidade de S\~{a}o Paulo, S\~{a}o Paulo.},
  title = {{An\'{a}lise digital de terreno do centro-leste brasileiro}},
  year = {2008},
  access = {Open Access},
  doi = {10.11606/t.44.2008.tde-03022009-141229},
  link = {http://dx.doi.org/10.11606/t.44.2008.tde-03022009-141229},
  oalink = {http://dx.doi.org/10.11606/t.44.2008.tde-03022009-141229},
  owner = {guano},
  timestamp = {2020-08-04}
}
    Open Access

2004

  • Grohmann, C. H. 2004. Técnicas de geoprocessamento aplicadas à análise morfométrica. Master's thesis. Instituto de Geociências, Universidade de São Paulo, São Paulo.
    BibTeX

    BibTeX

                        @mastersthesis{Grohmann2004msc,
  author = {Grohmann, C. H.},
  school = {Instituto de Geoci\^{e}ncias, Universidade de S\~{a}o Paulo, S\~{a}o Paulo.},
  title = {{T\'{e}cnicas de geoprocessamento aplicadas \`{a} an\'{a}lise morfom\'{e}trica}},
  year = {2004},
  access = {Open Access},
  doi = {10.11606/d.44.2004.tde-10082006-155540},
  keywords = {grass, gis, geomorphometry},
  link = {http://dx.doi.org/10.11606/d.44.2004.tde-10082006-155540},
  oalink = {http://dx.doi.org/10.11606/d.44.2004.tde-10082006-155540},
  pages = {70},
  posted-at = {2008-10-04 23:59:50},
  timestamp = {2020-08-04}
}
    Open Access

2001

  • Grohmann, C. H. 2001. Assinaturas extensionais relacionadas à extrusão sob regime compressional de nappe de alta pressão. Master's thesis. Instituto de Geociências, Universidade de São Paulo, São Paulo, Monografia de Trabalho de Formatura.
    BibTeX

    BibTeX

                        @mastersthesis{Grohmann2001tf,
  author = {Grohmann, C. H.},
  school = {Instituto de Geoci\^{e}ncias, Universidade de S\~{a}o Paulo, S\~{a}o Paulo, Monografia de Trabalho de Formatura},
  title = {{Assinaturas extensionais relacionadas \`{a} extrus\~{a}o sob regime compressional de nappe de alta press\~{a}o}},
  year = {2001},
  access = {Open Access},
  citeulike-article-id = {3375626},
  doi = {10084/m9.figshare.1089658},
  keywords = {structural\_geology},
  link = {http://dx.doi.org/10084/m9.figshare.1089658},
  oalink = {http://dx.doi.org/10084/m9.figshare.1089658},
  posted-at = {2008-10-04 23:59:50},
  timestamp = {2020-08-04}
}
    Open Access