<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>UN Operational Satellite Applications Programme (UNOSAT)</dc:creator><dc:description>**UNOSAT code: FL20251229MOZ** This map illustrates the flood extent derived from Sentinel-1 imagery acquired on 31 December 2025, using an automated machine-learning-based analysis. Within the analysed area of approximately 32,000 km², an estimated 930 km² of land appears to be affected by floodwaters. Based on WorldPop spatial demographic data, approximately 4,200 people are exposed to or living in close to the flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to the backscattering properties of the radar signal.</dc:description><dc:identifier>satellite-detected-water-extents-as-of-31-december-2025-in-sofala-province-mozambique</dc:identifier><dc:publisher>Humanitarian Data Exchange</dc:publisher><dc:rights>Public</dc:rights><dc:title>Satellite detected water extents as of 31 December 2025 in Sofala Province, Mozambique</dc:title><dc:type>Datasets</dc:type><dc:coverage>Mozambique</dc:coverage><dc:date>2026-01-02</dc:date></oai_dc:dc>