microsoft/building-damage-assessment-cnn-siamese

Code Repo for Earth Observation for Disaster Mapping: Benchmarks, Methods, Challenges and Future Perspectives

[NeurIPS 2025] DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response

A toolkit that enables building damage assessments from remotely sensed imagery.

SKAI is a machine learning based tool for performing automatic building damage assessments on aerial imagery of disaster sites.

Deep Learning for Satellite Imagery

Official repository for "Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery" (CVPR 2024)

Official code for "Learning to Extract Building Footprints from Off-Nadir Aerial Images"

High Speed Assessment and Satellite Tracking for Emergencies

Earth system foundation model data, training, and eval