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  "doi": "10.63253/unkjbzkm",
            
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  "doi_date_published": "2025-08-20",
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  "doi_date_published": "2025-08-28",
            
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      "description": "UNESCO member since 1978",
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      "description": "UNESCO member since 1978",
            
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      "display_name": "Cabo Verde",
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      "title": "Cabo Verde"
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  "identifier": "Flood-impact-assessment-in-Santo-Antao,-Cabo-Verde",
            
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  "metadata_modified": "2025-08-28T11:41:59.995266",
            
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  "modified": "2025-08-20",
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  "modified": "2025-08-28",
            
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  "name": 
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  "name": 
            
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ent-in-east-sao-vicente-municipality-cabo-verde-as-of-14-august-2025",
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ent-in-east-sao-vicente-municipality-cabo-verde-as-of-14-august-2025",
            
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  "notes": "This dataset illustrates satellite-detected mudflow extent 
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  "notes": "This dataset illustrates satellite-detected mudflow extent 
            
n
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in East Sao Vicente Municipality, Cabo Verde as observed from Pleiades 
n
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in Santo Antao, Cabo Verde as observed from Pleiades very 
            
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very high-resolution satellite image acquired on 14 August 2025 at 
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high-resolution satellite image. About 4 km\u00b2 of land appears to 
            
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11:43 local time (12:43 UTC). Within the analyzed area of 
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be affected by the flood / mudflow extent. UNOSAT identified less than 
            
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approximately 35 km\u00b2, about 3 km\u00b2 of land appears to be 
65
460 affected buildings with less than 1000 people potentially 
            
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affected by flood. UNOSAT identified around 1,000 affected/potentially 
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affected. In addition, approximately 5 km of roads with 2 bridges were 
            
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affected buildings and approximately 15 km of affected roads.",
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affected. \r\n\r\nThis is a preliminary analysis and has not yet been 
            
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validated in the field. Please send ground feedback to the United 
            
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Nations Satellite Centre (UNOSAT).",
            
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  "notes_translated": {
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  "notes_translated": {
            
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    "en": "This dataset illustrates satellite-detected mudflow extent 
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    "en": "This dataset illustrates satellite-detected mudflow extent 
            
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in East Sao Vicente Municipality, Cabo Verde as observed from Pleiades 
n
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in Santo Antao, Cabo Verde as observed from Pleiades very 
            
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very high-resolution satellite image acquired on 14 August 2025 at 
73
high-resolution satellite image. About 4 km\u00b2 of land appears to 
            
73
11:43 local time (12:43 UTC). Within the analyzed area of 
74
be affected by the flood / mudflow extent. UNOSAT identified less than 
            
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approximately 35 km\u00b2, about 3 km\u00b2 of land appears to be 
75
460 affected buildings with less than 1000 people potentially 
            
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affected by flood. UNOSAT identified around 1,000 affected/potentially 
76
affected. In addition, approximately 5 km of roads with 2 bridges were 
            
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affected buildings and approximately 15 km of affected roads.",
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affected. \r\n\r\nThis is a preliminary analysis and has not yet been 
            
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validated in the field. Please send ground feedback to the United 
            
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Nations Satellite Centre (UNOSAT).",
            
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    "created": "2025-08-20T12:12:09.554784",
            
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    "description": "###The United Nations Satellite Centre (UNOSAT), 
            
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part of UNITAR, delivers satellite analysis, training, and capacity 
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part of UNITAR, delivers satellite analysis, training, and capacity 
            
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development to UN entities and Member States. We leverage geospatial 
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development to UN entities and Member States. We leverage geospatial 
            
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technologies to support humanitarian response, sustainable 
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technologies to support humanitarian response, sustainable 
            
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development, and resilience building worldwide.\r\n\r\n# About 
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development, and resilience building worldwide.\r\n\r\n# About 
            
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UNOSAT\r\nThe increase in the occurrences of disasters and the high 
            
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numbers of victims of conflicts are urgent issues that require 
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numbers of victims of conflicts are urgent issues that require 
            
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effective and rapid action. Satellite imagery analysis can cover large 
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effective and rapid action. Satellite imagery analysis can cover large 
            
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areas and provide accurate information in near real-time. The ability 
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areas and provide accurate information in near real-time. The ability 
            
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of national and regional authorities to seamlessly collect, integrate, 
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of national and regional authorities to seamlessly collect, integrate, 
            
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analyze geospatial information in a comprehensible and easy-to-use 
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analyze geospatial information in a comprehensible and easy-to-use 
            
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format is key to strengthening disaster and climate resilience, 
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format is key to strengthening disaster and climate resilience, 
            
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supporting humanitarian action, and supporting sustainable development 
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supporting humanitarian action, and supporting sustainable development 
            
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policies. The United Nations Satellite Centre (UNOSAT) promotes 
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evidence-based decision-making for peace, security, and resilience 
            
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using geo-spatial information technologies.\r\n\r\n#MANDATE\r\nUNOSAT 
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using geo-spatial information technologies.\r\n\r\n#MANDATE\r\nUNOSAT 
            
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is the United Nations Satellite Centre, it is part of the United 
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is the United Nations Satellite Centre, it is part of the United 
            
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Nations Institute for Training and Research (UNITAR), with a mandate 
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to provide United Nations funds, programmes and specialized agencies 
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to provide United Nations funds, programmes and specialized agencies 
            
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with satellite analysis, training and capacity development, at their 
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with satellite analysis, training and capacity development, at their 
            
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request as well as support Member States with satellite imagery 
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request as well as support Member States with satellite imagery 
            
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analysis over their respective territories and provide training and 
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analysis over their respective territories and provide training and 
            
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capacity development in the use of geospatial information 
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capacity development in the use of geospatial information 
            
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technologies.",
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extent in East Sao Vicente Municipality, Cabo Verde as observed from 
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