GeoViSTA learns unified geospatial embeddings from co-registered imagery and tabular data via bilateral cross-attention and joint masked autoencoding, yielding better linear probing performance on mortality and fire hazard prediction tasks.
AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data
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GeoViSTA: Geospatial Vision-Tabular Transformer for Multimodal Environment Representation
GeoViSTA learns unified geospatial embeddings from co-registered imagery and tabular data via bilateral cross-attention and joint masked autoencoding, yielding better linear probing performance on mortality and fire hazard prediction tasks.