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20202026
most citedRapid Response Crop Maps in Data Sparse Regions

17 citations · 40 across the 15 of their papers we have counts for

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cs.CV2026

HASTE: A Platform for Rapid Post-Disaster Building Damage Assessment

Caleb Robinson, Anthony Ortiz, Simone Fobi Nsutezo +8

When a large disaster strikes, responders need a map of which buildings are damaged within hours. The models that do well on public benchmarks assume matched before-and-after image…

cs.CV20261 cited

The first global agricultural field boundary map at 10m resolution

Caleb Robinson, Gedeon Muhawenayo, Subash Khanal +9

The agricultural field is the natural unit at which crops are planted, managed, regulated, and reported, yet most global remote-sensing products for agriculture are only available…

cs.CV2026

WATCH: Wide-Area Archaeological Site Tracking for Change Detection

Girmaw Abebe Tadesse, Titien Bartette, Andrew Hassanali +7

Monitoring archaeological sites at scale is vital for protecting cultural heritage, yet pinpointing when disturbances occur remains difficult because visual cues are subtle and gro…

cs.CV2026

GeoAI Agency Primitives

Akram Zaytar, Rohan Sawahn, Caleb Robinson +5

We present ongoing research on agency primitives for GeoAI assistants -- core capabilities that connect Foundation models to the artifact-centric, human-in-the-loop workflows where…

cs.CV2026

Satellite-Based Detection of Looted Archaeological Sites Using Machine Learning

Girmaw Abebe Tadesse, Titien Bartette, Andrew Hassanali +7

Looting at archaeological sites poses a severe risk to cultural heritage, yet monitoring thousands of remote locations remains operationally difficult. We present a scalable and sa…

cs.CV2025

TEMPO: Global Temporal Building Density and Height Estimation from Satellite Imagery

Tammy Glazer, Gilles Q. Hacheme, Akram Zaytar +9

We present TEMPO, a global, temporally resolved dataset of building density and height derived from high-resolution satellite imagery using deep learning models. We pair building f…