40 citations · 49 across the 5 of their papers we have counts for
3 papers · 1 filter
PiCo: Physics-Informed Concept Probing for Geo-Foundation Models
Yihang She, Andrew Blake, Jianbo Qi +1
Geo-foundation models (GFMs) are typically evaluated by downstream task predictive performance, revealing little about which physical features they are sensitive to or use in predi…
TESSERA v2: Scaling Pixel-wise Earth Foundation Models
Zhengpeng Feng, Sadiq Jaffer, Ira Shokar +12
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…
Embedding -based Crop Type Classification in the Groundnut Basin of Senegal
Madeline C. Lisaius, Srinivasan Keshav, Andrew Blake +1
Crop type maps from satellite remote sensing are important tools for food security, local livelihood support and climate change mitigation in smallholder regions of the world, but…