Satellite-detected damage to cultural heritage in the area of Cova, Ribeira Paúl and Torre Natural Park, Santo Antão, Cabo Verde, as of 16 August 2025

✦ DISCOVERED BY ORIONAIUnited Nations Satellite Centre (UNOSAT)Imagery and land coverCape Verde
Cape Verde

About this dataset

**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).

Documentation

UNOSAT datasets and maps are produced using a variety of methods. In general, analysts closely review satellite imagery, often comparing two or more images together, and determine notable changes between the images. For damage assessments, refugee or IDP assessments, and similar analyses, these changes are then manually documented in the vector data by the analyst. For flood extractions, landcover mapping and similar analyses, a variety of automated remote sensing techniques are used to extract the relevant information which is then reviewed and revised as necessary by the analyst. In all cases, resulting data is then loaded into a standardized UNOSAT geodatabase and exported asshapefiles for dissemination. This is a preliminary assessment and has not yet been validated in the field. It is important to consider the characteristics of the source imagery used in the analyses when interpreting results. For damage assessments it should be noted that only significant damage to the structural integrity of the buildings analyzed can be seen in imagery, while minor damage such as cracks or holes may not be visible at all. For flood extractions using radar data it is important to note that urban areas and highly vegetated areas may mask the flood signature and result in underestimation of flood waters. Users with specific questions or concerns should contact unosat@unitar.org to seek clarification.

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Deteção de danos no património cultural através da análise de imagem de satélite de 16 de Agosto de 2025

**UNOSAT code: FL20250812CPV** Este mapa mostra possíveis danos no património cultural, detetados a 1,3 km a oeste do parque, com base numa imagem de satélite de alta resolução obtida em 16 de Agosto de 2025, quando comparada com uma imagem de satélite de alta resolução de 9 de fevereiro de 2025. Mais especificamente, foram detetados possíveis danos numa secção de campos agrícolas tradicionais em socalcos (Figura 1). Esta forma tradicional de agricultura é referida no Critério (v) como uma das justificações para o Valor Universal Excecional da área e a sua inclusão na Lista Provisória da UNESCO. Também foram detetados fluxos de água e lama tanto dentro como em torno do parque. Esta é uma análise preliminar e ainda não foi validada no terreno. Qualquer informação, por favor, envie para o Centro de Satélites das Nações Unidas (UNOSAT).

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Flood impact assessment in Santo Antao Island, Cabo Verde (13 to 16 August 2025)

**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).

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**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).

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Flood impact assessment in Porto Novo Town, Porto Novo Municipality, Cabo Verde as of 13 August 2025

**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).

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Flood impact assessment in East Sao Vicente Municipality, Cabo Verde as of 14 August 2025

**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.

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