225 citations · 360 across the 5 of their papers we have counts for
5 papers
Novel approach for ranking DEMs: Copernicus DEM improves one arc second open global topography
Conrad Bielski, Carlos López-Vázquez, Carlos H. Grohmann +9
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 pr…
Relict landslide detection using Deep-Learning architectures for image segmentation in rainforest areas: A new framework
Guilherme P. B. Garcia, Carlos H. Grohmann, Lucas P. Soares +1
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 underst…
Landslide Segmentation with U-Net: Evaluating Different Sampling Methods and Patch Sizes
Lucas P. Soares, Helen C. Dias, Carlos H. Grohmann
Landslide inventory maps are crucial to validate predictive landslide models; however, since most mapping methods rely on visual interpretation or expert knowledge, detailed invent…
Aeolian dune modelling from airborne LiDAR, terrestrial LiDAR and Structure from Motion-Multi View Stereo
C. H. Grohmann, G. P. B. Garcia, A. A. Affonso +1
A DEM of a dunefield in Southern Brazil was generated from 810 photos captured by an RPA in February 2019. Altimetric accuracy of the SfM-MVS DEM was validated by comparison with T…
Evaluation of TanDEM-X DEMs on selected Brazilian sites: comparison with SRTM, ASTER GDEM and ALOS AW3D30
Carlos H. Grohmann
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 geo…