Anaximander: Interactive Orchestration and Evaluation of Geospatial Foundation Models

From Microsoft Research

Geospatial Foundation Models – deep learning architectures trained on large-scale Earth observation and remote sensing data – have proved useful for object detection, semantic segmentation, and other prediction tasks on geospatial and geographic data. However, experts in domains most likely to benefit from applying these models are accustomed to traditional geographic information system (GIS) workflows, largely driven by graphical user interfaces, with limited code-based workflows typical of ...