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Carlos Grohmann

Has grant

Full Professor

University of Sao Paulo

Brazil

Research Interests

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Professors in Hydrology

Recent Grants

Grant: Open

Multi-Scale Geomorphometric Analysis of Mass Movements in São Sebastião (SP, Brazil)

Open Date: 2024-02-01

Close Date: 2027-01-01

Grant: Close

Artificial Intelligence and High-Resolution Remote Sensing applied to the study of mass movements, geological risks and coastal habitats.

Open Date: 2023-03-01

Close Date: 2025-02-01

Grant: Close

UAV-based high-resolution imaging in geological, geomorphological and environmental analysis

Open Date: 2021-03-01

Close Date: 2023-02-01

Grant: Close

High-resolution remote sensing, deep learning and geomorphometry in analyses of mass movements and geological risk

Open Date: 2021-02-01

Close Date: 2023-07-01

Grant: Close

Applications of Structure-from-Motion and Terrestrial LiDAR in Geology and Geomorphology.

Open Date: 2019-03-01

Close Date: 2021-02-01

Articles (20)

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Collaborators (5)

Anderson Targino da Silva Ferreira

Collaborating Researcher

Instituto de Pesquisas Energéticas e Nucleares

BRAZIL

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John Lindsay

University of Guelph

CANADA

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Jose Quintanilha

Associate Senior Professor

University of Sao Paulo

BRAZIL

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Camila Duelis Viana

Professor

University of Sao Paulo

BRAZIL

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sebastiano trevisani

Associate Professor Applied Geology: (engineering geology, environmental geology, hydrogeology, etc.)

University IUAV of Venice

ITALY

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Carlos Grohmann

Research Interests

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Recent Grants

Articles (20)

High‐Resolution Digital Terrain Model and Land‐Surface Parameters of São Sebastião and Ilhabela, Southeastern Brazil

Reply to Ho et al. Comment on “Guth et al. Benchmarking Elevation Plus Land Surface Parameters Finds FathomDEM and Copernicus DEM Win as Best Global DEMs. Remote Sens. 2025, 17, 3919”

DEM sources—from local to global

Geomorphometry 2.0: a brief guide

Geomorphometry—a key to surface mapping and modelling

Overview of software packages used in geomorphometry

The future of geomorphometry

Benchmarking Elevation Plus Land Surface Parameters Finds FathomDEM and Copernicus DEM Win as Best Global DEMs

GEDTM30: global ensemble digital terrain model at 30 m and derived multiscale terrain variables

Examining the Influence of Different Inventories on Shallow Landslide Susceptibility Modeling: An Assessment Using Machine Learning and Statistical Approaches

Ranking of 10 Global One-Arc-Second DEMs Reveals Limitations in Terrain Morphology Representation

Novel Approach for Ranking DEMs: Copernicus DEM Improves One Arc Second Open Global Topography

Spatiotemporal

Landslides of the 2023 summer event of São Sebastião, southeastern Brazil: spatial dataset

Hydrological and morphological responses in the São Francisco River Basin (Northeast Brazil) resulting from river damming and climate changes in a tropical region

Standards for shallow landslide identification in Brazil: Spatial trends and inventory mapping

Humid and cold forest connections in South America between the eastern Andes and the southern Atlantic coast during the LGM

Rainfall-Induced Shallow Landslide Recognition and Transferability Using Object-Based Image Analysis in Brazil

Coastal Dynamics Analysis Based on Orbital Remote Sensing Big Data and Multivariate Statistical Models

Diretrizes para o mapeamento geológico em disciplinas de graduação

Collaborators (5)

Anderson Targino da Silva Ferreira

John Lindsay

Jose Quintanilha

Camila Duelis Viana

sebastiano trevisani

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