Geospatial
Developing GeoAI methods for analyzing satellite imagery and extracting structured geographic information from large-scale remote sensing data.
GeoAISatellite ImageryLand CoverGeospatial
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Publications
Debvrat Varshney*, Vibhas Kumar Vats*, Bhartendu Pandey, Christa Brelsford, Philipe Dias • SIGSPATIAL
* Equal contribution
This paper presents a generative AI approach for forecasting land-use and land-cover change over time. Using a diffusion model conditioned on historical and auxiliary data, we predict future imperviousness patterns across the United States at decadal scale. Our results show that generative models can provide useful large-scale forecasts and open new directions for physically informed Earth system prediction.
GeoAISatellite ImageryGenerative ModelsDiffusionLand CoverGeospatial