HASTE (High-speed Assessment and Satellite Tracking for Emergencies) is a no-code web platform designed to enable rapid damage assessment of buildings post-disaster using satellite imagery. The platform offers two methods for analysts to create per-building damage maps without requiring extensive machine learning expertise. The first method involves labeling polygons on the imagery to train a small semantic segmentation model, while the second method utilizes a pre-trained vision model to score building damage using minimal user input. Preliminary experiments indicate that HASTE can effectively differentiate between damaged and intact buildings using post-disaster images, achieving results comparable to a fully supervised model with significantly fewer labeled examples. Since its inception in 2023, HASTE has been employed in over thirty disaster responses, providing timely assessments to humanitarian organizations. The platform is open source and available on GitHub.
HASTE: Innovative Platform Streamlines Post-Disaster Building Damage Assessment
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