Preliminary Satellite-derived Flood Impact Assessment, North Santo Antao Island, Cabo Verde
About this dataset
Documentation
Related datasets
✦ Suggested by OrionAI**UNOSAT code: FL20250812CPV** This map illustrates satellite-detected mudflow extent in Santo Antao 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 700 km², about 3 km² of land appears to be affected by flood. Additionally, UNOSAT identified around 460 damaged buildings, two damaged bridges, and approximately 5 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).
**UNOSAT code: FL20250812CPV** This map shows possible damage to cultural heritage was detected 1.3 km west of the park based on a very high resolution satellite image collected 16 August 2025 when compared to very high resolution satellite imagery from 9 February 2025. Specifically, possible damage was detected to a section of traditional, terraced agricultural fields (inset 1). This traditional form of agriculture is named under Criterion (v) as one of the justifications for the area's Outstanding Universal Value and its inclusion on the UNESCO Tentative List. Additionally, water and mud flows were detected both within and around the park. 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).
Indexed by OrionGIS from Humanitarian Data Exchange (HDX). Data is loaded from the publisher's own server when you use it. Permanent link