biomass estimation 1building height estimation 1canopy height estimation 1earth observation 1regression 1uncertainty quantification 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.CV2026
Uncertainty Quantification for EO Regression Tasks: Building Height, Tree Canopy Height and Above-ground Biomass Estimation
Ritu Yadav, Andrea Nascetti, Yifang Ban
The paper proposes two deep learning methods to estimate per‑pixel uncertainty for Earth observation regression tasks such as building height, canopy height, and above‑ground bioma…
cs.CV2025
PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models
Valerio Marsocci, Yuru Jia, Georges Le Bellier +12
Geospatial Foundation Models (GFMs) have emerged as powerful tools for extracting representations from Earth observation data, but their evaluation remains inconsistent and narrow.…