<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 5 January 2026, using an automated machine-learning-based analysis. Within the analysed area of approximately 25,000 km², an estimated 870 km² of land appears to be affected by floodwaters, representing an increase of about 100 km² compared to 31 December 2025 within the same analysed area. Based on WorldPop spatial demographic data, approximately 7,300 people are exposed to or living in close proximity 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-5-january-2026-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 5 January 2026 in Sofala Province, Mozambique</dc:title><dc:type>Datasets</dc:type><dc:coverage>Mozambique</dc:coverage><dc:date>2026-01-07</dc:date></oai_dc:dc>