Cape Verde water data
+ Follow new data7 datasets about water in Cape Verde.
Water features across the area: rivers, streams, canals, lakes, ponds, and water bodies tagged with `waterway`, `water`, or `natural=water`. Useful for flood-risk modelling, watershed analysis, and environmental basemap context. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: waterway, water, natural - Part of the country exports on HDX by HOT
Water resources and water infrastructure in Cabo Verde including rivers, lakes, boreholes, wells and water points. Use this layer for water access analysis, WASH programme planning, drought monitoring, flood risk assessment, and water resource management.
**UNOSAT code: FL20250812CPV** This map illustrates satellite-detected mudflow extent in Mindelo City, Sao Vicente Municipality, Cabo Verde as observed from Pleiades very high-resolution satellite image acquired on 13 August 2025 at 11:01 local time (12:01 UTC). Within the analyzed area of approximately 30 km², about 5 km² of land appears to be affected by flood. Based on WorldPop population data and the flood extent, approximately 6,600 people are potentially exposed or living close to the flooded areas. Additionally, UNOSAT identified around 2,500 damaged buildings, five damaged bridges, and approximately 44 km of affected roads. 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).
**UNOSAT code: FL20250812CPV** This map illustrates satellite-detected mudflow extent in Porto Novo Town, Porto Novo Municipality, Cabo Verde as observed from Pleiades very high-resolution satellite image acquired on 13 August 2025 at 11:01 local time (12:01 UTC). Within the analyzed area of approximately 2 km², about 0.3 km² of land appears to be affected by flood. UNOSAT identified around 300 damaged buildings and approximately 1 km of affected roads. 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).
**UNOSAT code: FL20250812CPV** This map illustrates satellite-detected mudflow extent in East Sao Vicente Municipality, Cabo Verde as observed from Pleiades very high-resolution satellite image acquired on 14 August 2025 at 11:43 local time (12:43 UTC). Within the analyzed area of approximately 35 km², about 3 km² of land appears to be affected by flood. UNOSAT identified around 1,000 affected/potentially affected buildings and approximately 15 km of affected roads.
**UNOSAT code: FL20250812CPV** This map illustrates satellite-detected mudflow extent in Sao Vicente Island, Cabo Verde as observed from Pleiades very high-resolution satellite image acquired on 13 to 16 August 2025. Within the analyzed area of approximately 270 km², about 12 km² of land appears to be affected by flood. Based on WorldPop population data and the flood extent, approximately 12,600 people are potentially exposed or living close to the flooded areas. Additionally, UNOSAT identified around 4,000 damaged buildings, five damaged bridges, and approximately 80 km of affected roads. 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).
**UNOSAT code: FL20250812CPV** This map illustrates satellite-detected mudflow extent in Sao Vicente and Santo Islands, Cabo Verde as observed from Pleiades very high-resolution satellite image acquired on 13 to 16 August 2025. Within the analyzed area, approximately, about 16 km² of land appears to be affected by flood. Based on WorldPop population data and the flood extent, approximately 13,600 people are potentially exposed or living close to the flooded areas. Additionally, UNOSAT identified around 4,660 damaged buildings, five damaged bridges, and approximately 85 km of affected roads. 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).