Papers

Note: This page shows the publications by Prof. Carlos Grohmann and his students/colleagues related to GIS, Spatial Analisys, Geomorphometry, etc. For a full list of Prof. Grohmann’s publications, please refer to his ORCID, Lattes CV or personal website.
  

2024

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., Strobl, P., 2024. Novel approach for ranking DEMs: Copernicus DEM improves one arc second open global topography. IEEE Transactions on Geoscience & Remote Sensing. https://doi.org/10.1109/TGRS.2024.3368015 (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,
https://doi.org/10.1016/j.biocon.2024.110499 (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.
http://dx.doi.org/10.1016/j.jsames.2024.104805 (paywalled)

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).
http://dx.doi.org/10.3390/su15021309 (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.
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.
https://doi.org/10.3390/rs15215137 (open access)

Dias, V. C. and Dias, H. C., Grohmann, C. H., 2023. Rainfall-induced debris flows and shallow landslides in Ribeira Valley, Brazil: Main characteristics and inventory mapping.
8th International Conference on Debris Flow Hazard Mitigation (DFHM8) http://dx.doi.org/10.1051/e3sconf/202341505003 (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.
http://dx.doi.org/10.3390/coasts3030010 (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.
http://dx.doi.org/10.1080/01431161.2023.2197130 (paywalled)
Preprint available at arXiv:2208.02693 (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.
http://dx.doi.org/10.1016/j.mex.2022.101982 (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).
http://dx.doi.org/10.3390/rs15123028 (open access)

 

2022

Garcia, G.P.B., Gomes, E., Viana, C.D., Grohmann, C.H., 2022. Comparing Terrestrial Laser Scanner and RPA-based Photogrammetry to Generate a Landslide DEM.
Bulletin of Geodetic Sciences, 28(03). https://doi.org/10.1590/s1982-21702022000300016 (open access)

Affonso, A.A., Mandai, S.S., Portella, T.P., Grohmann, C.H., Quintanilha, J.A., 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 Methods7.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 5630-5633. https://doi.org/10.1109/IGARSS46834.2022.9884422

Albuquerque, R.W., Matsumoto, M., Calmon, M., Ferreira, M., Vieira, D., Grohmann, C.H., 2022. A protocol for canopy cover monitoring on forest restoration projects using low-cost drones.
Open Geosciences, 14(1), 921-929. https://doi.org/10.1515/geo-2022-0406 (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.
https://doi.org/10.3390/rs14092237 (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. https://doi.org/10.1109/JSTARS.2022.3161383

Meena, S.R., Soares, L.P., Grohmann, C.H., Westen, C., Bhuyan, K., Singh, R.P. - Landslide detection in the Himalayas using machine learning algorithms and U-Net.
Landslides
https://doi.org/10.1007/s10346-022-01861-3 (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):830.
https://doi.org/10.3390/rs14040830 (open access)

 

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., Castello Branco, M.R., 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):2401.
https://doi.org/10.3390/rs13122401 (open access)

Dias, H.C., Sandre, L.H., Alarcón, D.A.S., Grohmann, C.H., Quintanilha, J.A. - 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):839-852.
http://dx.doi.org/10.1590/2317-4889202120200105 (open access)

Dias, H.C., Hölbling, D., Grohmann, C.H., 2021 - Landslide Susceptibility Mapping in Brazil: A Review.
Geosciences, 11(10):425.
https://doi.org/10.3390/geosciences11100425 (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 coast of Brazil.
Natural Hazards
https://doi.org/10.1007/s11069-021-04676-y

Dias, H.C., Hölbling, D., Grohmann C.H., 2021. Landslide inventory mapping in Brazil: Status and challenges. In: XIII International Symposium on Landslides, Cartagena, Colombia.
(link)

Ferreira, A.T.S., Siegle, E., Ribeiro, M.C.H, Grohmann, C.H., 2021 - The dynamics of plastic pellets on sandy beaches: a new methodological approach.
Marine Environmental Research, 163:105219.
https://doi.org/10.1016/j.marenvres.2020.105219

Guth, P.L., Niekerk, A.V., Grohmann, C.H., Muller, J.-P., Hawker, L., Florinsky, I.V., Gesch, D., Reuter, H.I., Herrera-Cruz, V., Riazanoff, S., Lópéz-Vázquez, C., Carabajal, C.C., Albinet, C., Strobl, P., 2021 - Digital Elevation Models: Terminology and Definitions.
Remote Sensing, 13(18):3581.
https://doi.org/10.3390/rs13183581 (open access)

Strobl, P.A., Bielski, C., Guth, P.L., Grohmann, C.H., Muller, J.-P., López-Vázquez, C., Gesch, D.B., Amatulli, G., Riazanoff, S., and Carabajal, C., 2021 - The Digital Elevation Model Intercomparison EXperiment DEMIX, a community-based approach at global DEM benchmarking.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2021, 395–400
https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-395-2021
(open access)

Villaça, C.V.N., Crósta, A.P., Grohmann, C.H.,2021 - Morphometric analysis of Pluto’s impact craters.
Remote Sensing, 13:377.
https://doi.org/10.3390/rs13030377 (open access)

 

2020

Albuquerque, R.W, Costa, M.O., Ferreira, M.E, Carrero, G.C., Grohmann, C.H., 2020 - Remotely Piloted Aircrafts Imagery for Automatic Tree Counting in Forest Restoration Areas: a Case Study in the Amazon.
Journal of Unmanned Vehicle Systems, 8:207-223
https://doi.org/10.1139/juvs-2019-0024

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
http://doi.org/10.1016/j.cageo.2020.104569
Preprint available at arXiv:1910.06186 [physics.geo-ph] (open access)

Grohmann C.H., Garcia. G.P.B., Affonso, A.A., Albuquerque, R.W., 2020 - Coastal dune modelling from airborne LiDAR, terrestrial LiDAR and Structure from Motion-Multi View Stereo.
Proceedings of the Geomorphometry 2020 conference
http://doi.org/10.30437/Geomorphometry2020 (open access)

 

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. XIX Brazilian Symposium on Remote Sensing. Santos, SP.
download: Paper

Barale, F.; Grohmann, C.H., 2019. Photoscan x COLMAP: comparação entre DEMs gerados por Structure from Motion–Multi-View Stereo. XIX Brazilian Symposium on Remote Sensing. Santos, SP.
download: Paper

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.
https://doi.org/10.1016/j.jsames.2019.04.013
Preprint available at EarthArXiv: https://doi.org/10.31223/osf.io/t6y2e (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. XIX Brazilian Symposium on Remote Sensing. Santos, SP.
download: Paper

Grohmann, C.H., Zacharias, G.S., Garcia, G.P.B, Barale, F., Almeida, F.V., Arnone, I.S., 2019. Mapeamento e modelagem 3D do setor turístico da Caverna do Diabo (SP) com Laser Scanner: resultados preliminares. In:35 Congresso Brasileiro de Espeleologia, Bonito,MS. download: paper

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. XIX Brazilian Symposium on Remote Sensing. Santos, SP.
download: Presentation | Paper

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. XIX Brazilian Symposium on Remote Sensing. Santos, SP.
download: Poster | Paper

Viana C.D., Endlein A., Grohmann, C.H., Monticelli J.P., Campanha, G.A.C., 2019. SfM-MVS digital models applied to rock surface roughness. In: Fontoura, Rocca & Pavón Mendoza (Eds) Rock Mechanics for Natural Resources and Infrastructure Development - Full Papers: Proceedings of the 14th International Congress on Rock Mechanics and Rock Engineering (ISRM 2019), September 13-18, 2019, Foz do Iguassu, Brazil. p.:560-566. ISBN 978-0-367-42284-4. Book available from CRC Press
download: Poster

Viana C.D., Grohmann, C.H., Monticelli J.P., Garcia, G.P.B., Albuquerque. R.W., Cacciari, P.P., Futai, M.M., 2019. Slope stability assessment based on a digital outcrop model: A case-study at Jardim Garcia quarry. In: Fontoura, Rocca & Pavón Mendoza (Eds) Rock Mechanics for Natural Resources and Infrastructure Development - Full Papers: Proceedings of the 14th International Congress on Rock Mechanics and Rock Engineering (ISRM 2019), September 13-18, 2019, Foz do Iguassu, Brazil. p.:3604-3611. ISBN 978-0-367-42284-4. Book available from CRC Press
download: Poster

 

2018

Grohmann, C.H.; Viana, C.D.; Busarello, M.T.S.; Garcia, G.P.B., 2018. Structural analysis of clastic dikes based on Structure from Motion/Multi-View Stereo. Geomorphometry 2018 Conference. Boulder, CO.
Available at PeerJ Preprints https://doi.org/10.7287/peerj.preprints.27060v1 (open access)

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, 212C:121-133.
https://doi.org/10.1016/j.rse.2018.04.043
Preprint available at arXiv:1709.05016 [physics.geo-ph] (open access)

Viana, C.D.; Grohmann, C.H.; Busarello, M.T.S.; 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(4):839-852.
https://doi.org/10.1590/2317-4889201800201898 (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
http://dx.doi.org/10.5194/isprs-annals-III-4-17-2016 (open access)
python script available on GitHub

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). 35:414-425
http://www.revistageociencias.com.br (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 http://dx.doi.org/10.1016/j.cageo.2016.02.017

 

2015

Grohmann, C.H., 2015. Effects of spatial resolution on slope and aspect derivation for regional-scale analysis. Computers & Geosciences. 77:111-117
http://dx.doi.org/10.1016/j.cageo.2015.02.003
python script available on GitHub
Postprint available at EarthArXiv.org (open access)

 

2013

Grohmann, C.H., Miliaresis, G., 2013. Geological applications of digital terrain analysis. (Editorial, Special Issue – Geological applications of digital terrain analysis). International Journal of Geographical Information Science. 27:1403-1404
http://dx.doi.org/10.1080/13658816.2013.772617
Postprint available at EarthArXiv.org (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. 180-181:130-136
http://dx.doi.org/10.1016/j.geomorph.2012.09.012
Postprint available at EarthArXiv.org (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
http://dx.doi.org/10.5327/Z1519-874X2012000200009 (open access)
Also available at EarthArXiv.org (open access)

 

2011

Grohmann, C.H., Riccomini, C., Chamani, M.A., 2011. Regional scale analysis of landform configuration with base-level (isobase) maps. Hydrology and Earth System Sciences. 15:1493-1504
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. 49:1200-1213
http://dx.doi.org/10.1109/TGRS.2010.2053546
Postprint available at EarthArXiv.org (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
http://dx.doi.org/10.1016/j.cageo.2008.12.014
Postprint available at EarthArXiv.org (open access)

 

2008

Grohmann, C.H., Riccomini, C., Steiner, S.S., 2008. Aplicações dos modelos de elevação SRTM em geomorfologia. Revista Geográfica Acadêmica 2:73-83
https://revista.ufrr.br/rga (open access)
Postprint available at EarthArXiv.org (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.
http://dx.doi.org/10.1080/13658810701730152
Postprint available at EarthArXiv.org (open access)

 

2007

Grohmann, C.H., Riccomini, C., Alves, F.M., 2007. SRTM-based morphometric analysis of the Poços de Caldas Alkaline Massif, southeastern Brazil. Computers & Geosciences, 33 (1):10-19.
http://dx.doi.org/10.1016/j.cageo.2006.05.002
Postprint available at EarthArXiv.org (open access)

 

2006

Grohmann,C.H., 2006. Resampling SRTM 03”-data with kriging. GRASS/OSGeo News, 4:20-25.
https://grass.osgeo.org/newsletter
Available at EarthArXiv.org (open access)

Grohmann,C.H., 2006. r.roughness – a new tool for morphometric analysis in GRASS. GRASS/OSGeo News, 4:17-19.
https://grass.osgeo.org/newsletter
Available at EarthArXiv.org (open access)

 

2005

Grohmann, C.H., 2005. Trend-surfaces analysis of morphometric parameters: A case study in southeastern Brazil. Computers & Geosciences, 31 (8):1007-1014.
http://dx.doi.org/10.1016/j.cageo.2005.02.011
Postprint available at EarthArXiv.org (open access)

 

2004

Grohmann, C.H. 2004. Morphometric analysis in Geographic Information Systems: applications of free software GRASS and R. Computers & Geosciences, 30 (9-10):1055-1067.
http://dx.doi.org/10.1016/j.cageo.2004.08.002
Postprint available at EarthArXiv.org (open access)