Indonesia Floods: Building Damage Assessment in Sumatra

Microsoft AI for Good Lab ran their damage assessment AI models in La Guaria.

Microsoft AI for Good Lab ran their damage assessment AI models in Catia La Mar.

Microsoft AI for Good Lab ran their damage assessment AI models in Caraballeda.

Microsoft AI for Good Lab ran their damage assessment AI models in East Catia La Mar covering 24,732 buildings.

We ran our damage assessment AI models on images provided by Planet and Maxar and have mapped out the affected buildings. The images cover Palisades fires. Analysis was done on: 1) Planet's 20250108_222134_ssc10 SkySat scene captured 01/08 2) Planet's 20250109_221527_ssc10 SkySat scene captured 01/09 3) Maxar imagery 1050010040277500 captured 1/10 Latest results show the following. Total of 18,538 structures: 11,735 not damaged 6,803 damaged

# Sumatra Floods: Damage and Flood Proxy Maps, Nov 2025 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these damage and flood proxy maps for Sumatra Floods (Nov 2025) from synthetic aperture radar (SAR) satellite images. Each map is a separate ZIP below with its GeoTIFF, a KMZ for Google Earth, the PNG figures and a text file describing how it was made and how to read it. ## Maps in this dataset - **EOS-RS Flood Proxy Map: Aceh, Indonesia, Floods, 02 Dec 2025, v0.5** - **EOS-RS Damage Proxy Map: North Sumatra, Floods, 28 Nov 2025, v0.9** - **EOS-RS Flood Proxy Map: North Sumatra, Indonesia, Floods, 28 Nov 2025, v0.9** **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Original data ALOS-2 PALSAR-2 Product - JAXA (2022-2025)