Staff

Prof. Carlos Henrique Grohmann - Full Professor at the Institute of Astronomy, Geophysics and Atmospheric Sciences, Universidade de São Paulo, Brazil. My work is focused in Digital Terrain Analysis (Geomorphometry), free software (FOSS) and Remote Sensing.
My ORCiD is 0000-0001-5073-5572. My Lattes CV is available in Portuguese or in English. The Lattes Database is a Curriculum and institutions database of Science and Technology areas in Brazil.You can find more about me at my website.
Prof. Camila Duelis Viana (ORCiD | Lattes CV | site/blog) - Assistant Professor at the Institute of Geosciences, University of São Paulo, Brazil. My interest are in data science, photogrammetry, rock mechanics, spatial data, artificial intelligence, front-end/mobile development and disaster management.

 

 

Post-Doc

Vivian Cristina Dias (2022-2024) (ORCiD | Lattes CV) - Mapping and classification of watersheds affected by hydro geomorphological processes in the Serra do Mar Paulista: foundation for planning and mitigation actions.
scholarship: FAPESP grant [#2022/04233-9](https://bv.fapesp.br/55162)
Anderson Targino da Silva Ferreira (2019-2021) (ORCiD | Lattes CV) - Monitoring of microplastic (pellets) density of a sandy beach by coring, 3D modelling and meteoceanographic parameters.

 

 

PhD Students

Helen Cristina Dias (PhD 2019-2025) (ORCiD | Lattes CV) - Analysis of manual and semi-automatic shallow landslides inventories and its suitability in predictive models.
scholarship: FAPESP grant #2019/17261-8
Márcia Valadares dos Santos (PhD 2019-2025) (Lattes CV) - Environmental diagnostic and recovering evaluation of mining-degraded areas in the Itajaí region, Santa Catarina.
Rebeca Durço Coelho (PhD 2021-2025) (ORCiD | Lattes CV) - Study of Morphometry and Geotechnical Properties in Landslides Deflagration.

 

 

Master’s Students

Francesco Barale (MSc 2023-?) (ORCiD | Lattes CV) - 3D modelling of Pedra do Baú natural monument with RPA-LiDAR.

   

   

Former Students

PDF available at the USP Digital Library of Theses and Dissertations
 DOI: https://doi.org/10.11606/D.44.2023.tde-12122023-082028 </td> o
Alynne Almeida Affonso (PhD 2018-2023) (ORCiD | Lattes CV) - High-resolution remote sensing of igapó forests in the Xingu River, eastern Amazonia - analysis of sedimentation patterns.
PDF available at the USP Digital Library of Theses and Dissertations
 DOI: https://doi.org/10.11606/T.106.2023.tde-02022024-211517
Amanda Mendes de Sousa (MSc 2019-2023) (ORCiD | Lattes CV) - Monitoring landslide susceptibility: using UAVs to generate 3D models for slope stability analysis in urban areas.
Denis Vicente Cavacic (undergrad 2022) - Morphometric and geological analysis of Martian craters.
Denilson de Jesus - Application of Free and Open-Source GIS tools in the Gelogical Survey of Brazil: improving quality, reducing costs and timeframes.
PDF available at the USP Digital Library of Theses and Dissertations
 DOI: https://doi.org/10.11606/D.44.2023.tde-08052023-082430
Camila Duelis Viana (PhD 2017-2021) (ORCiD | Lattes CV | site/blog) - Application of multi-scale photogrammetry in structural data collection.
PDF available at the USP Digital Library of Theses and Dissertations
 DOI: https://doi.org/10.11606/T.44.2021.tde-18012022-122057
Elton Barbosa Gomes (undergrad 2018) - Stability analysis of mass movement-prone areas based on High-resolution Digital Terrain Models.
Fernanda Aparecida Ferretti (undergrad 2018) - Analysis of fractures systems in a 3D model generated by Structure-from-Motion.
Francesco Barale (undergrad 2017-2018) (ORCiD | Lattes CV) - Comparative analysis of Digital Elevation Models generated by Structure-from-Motion.
Francesco Barale (undergrad 2019) (ORCiD | Lattes CV) - Modelling a smal landslide at USP campus with TLS.
Gabriel Zacharias (undergrad 2018) - 3D modelling of the tourist sector of Tapagem Cave with Terrestrial Laser Scanner.
Guilherme Pereira Bento Garcia (PhD 2018-2023) (ORCiD | Lattes CV) - Detection and monitoring of landslides on natural slopes from integrated application of multispectral images and high-resolution elevation models.
PDF available at the USP Digital Library of Theses and Dissertations
 DOI: https://doi.org/10.11606/T.44.2023.tde-03082023-071204
Guilherme Iolino Troncon Guerra (MSc 2017-2019) (Lattes CV) - Spectroradiometric analysis applied to gold and base-metals mineralizations characterization in the Nova Brasilândia D’Oeste (Rondônia) region.
PDF available at the USP Digital Library of Theses and Dissertations
 DOI: https://doi.org/10.11606/D.44.2019.tde-03082020-100748
Jhesika Pena Gomes de Souza Silva (undergrad 2018-2019) - Generation of Digital Elevation Models of the Peruaçu National Park with orbital imagery.
Laine Melo de Carvalho (undergrad 2023) - Numerical Modelling of geological risk in Francisco Morato and Mauá.
Lucas Pedrosa Soares (MSc 2020-2022) (ORCiD | Lattes CV | site/blog) - Automatic segmentation of landslide scars in remote sensing imagery with deep learning.
scholarship: FAPESP grant #2019/17555-1 PDF available at the USP Digital Library of Theses and Dissertations
 DOI: https://doi.org/10.11606/D.44.2022.tde-08072022-080909
Luiz Fernando dos Santos (MSc 2016-2020) (ORCiD | Lattes CV) - Application of High-resolution Digital Terrain Models in slope stability and mass movement analysis.
PDF available at the USP Digital Library of Theses and Dissertations
 DOI: https://doi.org/10.11606/D.44.2020.tde-25082020-090103
Mariana B.B. da Silva (Lattes CV) - Analysis and Modeling of a small landslide with SfM and TLS.
Mariana dos Santos Toledo Busarello (undergrad 2017) - Structure-from-Motion based structural analysis of clastic dikes of the Corumbataí Formation.
Rafael Walter de Albuquerque (PhD 2019-2022) (ORCiD | Lattes CV) - Remotely Piloted Aircrafts in assessment and monitoring of areas in environmental recovery process. PDF available at the USP Digital Library of Theses and Dissertations
 DOI: https://doi.org/10.11606/T.106.2022.tde-27072022-144958
Vitor Batista dos Santos (2017-2018) - Analysis and 3D modelling of landslides by terrestrial LiDAR and Structure-from-Motion.