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.
  

in revision

Garcia, G.P.B., Soares, L.P., Espadoto, M., Grohmann, C.H. - Relict landslide detection in rainforest areas using a combination of k-means clustering algorithm and Deep-Learning semantic segmentation models. Preprint available at arXiv:2208.02693 [cs.CV] (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, 1309. https://doi.org/10.3390/su15021309 (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. https://doi.org/10.1016/j.mex.2022.101982 (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)