2026
Mapping on a Budget: Optimizing Spatial Data Collection for ML
AAAI 2026technical
In applications across agriculture, ecology, and human development, machine learning with satellite imagery (SatML) is limited by the sparsity of labeled training data. While satellite data cover the globe, labeled training datasets for SatML are often small, spatially clustered, and collected for o