55 citations · 55 across the 4 of their papers we have counts for
4 papers
Self-Supervised Tree-level Biomass Estimation in Urban Environments From Airborne LiDAR and Optical Observations
Jose Bermudez, Zilong Zhong, Dominic Cyr +2
Urban tree biomass remains less spatially explicitly quantified than biomass in managed forests because many estimates rely on inventories or coarse products that cannot resolve in…
Continuous biome representations from Earth observation embeddings
Maxwell B. Joseph, Flávia De Souza Mendes, Dieu My T. Nguyen +2
Biotic communities vary continuously across space, yet biome maps impose categorical boundaries that compress this variation, particularly at ecotones where transitional communitie…
A Deep Learning Approach to Estimate Canopy Height and Uncertainty by Integrating Seasonal Optical, SAR and Limited GEDI LiDAR Data over Northern Forests
Jose B. Castro, Cheryl Rogers, Camile Sothe +2
Accurate forest canopy height estimation is essential for evaluating aboveground biomass and carbon stock dynamics, supporting ecosystem monitoring services like timber provisionin…
Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data
Laura Elena Cué La Rosa, Camile Sothe, Raul Queiroz Feitosa +3
This work proposes a multi-task fully convolutional architecture for tree species mapping in dense forests from sparse and scarce polygon-level annotations using hyperspectral UAV-…