<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:creator>Microsoft - AI4G Lab</dc:creator><dc:description>We ran our damage assessment AI models on images provided by Planet and have mapped out the affected buildings. The images cover Passamainty in Mayotte. We assessed 3,875 buildings in the area, with damage levels as follows: 1,426 buildings are between 0% and 20% damaged 136 buildings are between 20% and 40% damaged 92 buildings are between 40% and 60% damaged 62 buildings are between 60% and 80% damaged 2,159 buildings are between 80% and 100% damaged</dc:description><dc:identifier>building-damage-assessment-in-passamanty-mayotte-after-cyclone-chido</dc:identifier><dc:publisher>Humanitarian Data Exchange</dc:publisher><dc:rights>Public</dc:rights><dc:title>Cyclone Chido: Building Damage Assessment in Passamanty, Mayotte</dc:title><dc:type>Datasets</dc:type><dc:coverage>Mayotte</dc:coverage><dc:date>2024-12-09</dc:date></oai_dc:dc>