2 papers
cs.CV2025
PyViT-FUSE: A Foundation Model for Multi-Sensor Earth Observation Data
Manuel Weber, Carly Beneke
We propose PyViT-FUSE, a foundation model for earth observation data explicitly designed to handle multi-modal imagery by learning to fuse an arbitrary number of mixed-resolution i…
cs.CV2024
Unified Deep Learning Model for Global Prediction of Aboveground Biomass, Canopy Height and Cover from High-Resolution, Multi-Sensor Satellite Imagery
Manuel Weber, Carly Beneke, Clyde Wheeler
Regular measurement of carbon stock in the world's forests is critical for carbon accounting and reporting under national and international climate initiatives, and for scientific…