6 citations · 6 across the 2 of their papers we have counts for
9 papers
How Usable Are Geospatial Foundation Models? A Systematic Evaluation of 89 Models
Robin Young, Artyom Gabtraupov, Kenzy Soror +1
Geospatial foundation models (GeoFMs) offer transformative potential for environmental monitoring, yet adoption among ecologists is uneven. Most evaluations are model-centric, focu…
TESSERA v2: Scaling Pixel-wise Earth Foundation Models
Zhengpeng Feng, Sadiq Jaffer, Ira Shokar +13
Pixel-wise Earth-observation (EO) foundation models are now achieving state-of-the-art performance via generated spatial embeddings. However, how these models scale and how best to…
TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis
Zhengpeng Feng, Clement Atzberger, Sadiq Jaffer +11
Satellite Earth-observation (EO) time series in the optical and microwave ranges of the electromagnetic spectrum are often irregular due to orbital patterns and cloud obstruction.…
Neural Processes Maintain Calibrated Biomass Estimates Across Spatiotemporal Gaps and Disturbance
Robin Young, Srinivasan Keshav
Monitoring deforestation-driven carbon emissions requires both spatially explicit and temporally continuous estimates of aboveground biomass density (AGBD) with calibrated uncertai…
Below-ground Fungal Biodiversity Can be Monitored Using Self-Supervised Learning Satellite Features
Robin Young, Michael E. Van Nuland, E. Toby Kiers +4
Mycorrhizal fungi are vital to terrestrial ecosystem functioning. Yet monitoring their biodiversity at landscape scales is often unfeasible due to time and cost constraints. Curren…
Interpolation of GEDI Biomass Estimates with Calibrated Uncertainty Quantification
Robin Young, Srinivasan Keshav
Reliable wall-to-wall biomass density estimation from NASA's GEDI mission requires interpolating sparse LIDAR observations across heterogeneous landscapes. While machine learning a…