4 citations · 5 across the 4 of their papers we have counts for
4 papers
High Resolution Tree Height Mapping of the Amazon Forest using Planet NICFI Images and LiDAR-Informed U-Net Model
Fabien H Wagner, Ricardo Dalagnol, Griffin Carter +19
Tree canopy height is one of the most important indicators of forest biomass, productivity, and ecosystem structure, but it is challenging to measure accurately from the ground and…
Amazon's 2023 Drought: Sentinel-1 Reveals Extreme Rio Negro River Contraction
Fabien H Wagner, Samuel Favrichon, Ricardo Dalagnol +3
The Amazon, the world's largest rainforest, faces a severe historic drought. The Rio Negro River, one of the major Amazon River tributaries, reaches its lowest level in a century i…
Sub-Meter Tree Height Mapping of California using Aerial Images and LiDAR-Informed U-Net Model
Fabien H Wagner, Sophia Roberts, Alison L Ritz +7
Tree canopy height is one of the most important indicators of forest biomass, productivity, and species diversity, but it is challenging to measure accurately from the ground and f…
K-textures, a self-supervised hard clustering deep learning algorithm for satellite image segmentation
Fabien H. Wagner, Ricardo Dalagnol, Alber H. Sánchez +6
Deep learning self-supervised algorithms that can segment an image in a fixed number of hard labels such as the k-means algorithm and relying only on deep learning techniques are s…