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  "author": "IHP-WINS",
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  "author": "IHP-WINS",
            
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  "created": "2025-08-20",
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  "doi": "10.63253/unkjbzkm",
            
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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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  "identifier": "Flood-impact-assessment-in-Santo-Antao,-Cabo-Verde",
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  "identifier": "Flood-impact-assessment-in-Santo-Antao,-Cabo-Verde",
            
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  "license_id": "cc-by-sa",
            
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  "license_title": "Creative Commons Attribution Share-Alike",
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  "maintainer": "IHP-WINS",
            
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  "metadata_created": "2025-08-20T12:15:49.371091",
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  "metadata_created": "2025-08-20T12:15:49.371091",
            
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  "metadata_modified": "2025-08-28T12:06:24.296616",
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  "metadata_modified": "2025-08-28T12:06:54.652649",
            
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  "metadata_profile": [],
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  "metadata_profile": [],
            
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  "modified": "2025-08-28",
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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 
61
  "notes": "This dataset illustrates satellite-detected mudflow extent 
            
62
in Santo Antao, Cabo Verde as observed from Pleiades very 
62
in Santo Antao, Cabo Verde as observed from Pleiades very 
            
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high-resolution satellite image. About 4 km\u00b2 of land appears to 
63
high-resolution satellite image. About 4 km\u00b2 of land appears to 
            
64
be affected by the flood / mudflow extent. UNOSAT identified less than 
64
be affected by the flood / mudflow extent. UNOSAT identified less than 
            
65
460 affected buildings with less than 1000 people potentially 
65
460 affected buildings with less than 1000 people potentially 
            
66
affected. In addition, approximately 5 km of roads with 2 bridges were 
66
affected. In addition, approximately 5 km of roads with 2 bridges were 
            
67
affected. \r\n\r\nThis is a preliminary analysis and has not yet been 
67
affected. \r\n\r\nThis is a preliminary analysis and has not yet been 
            
68
validated in the field. Please send ground feedback to the United 
68
validated in the field. Please send ground feedback to the United 
            
69
Nations Satellite Centre (UNOSAT).",
69
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 
            
72
in Santo Antao, Cabo Verde as observed from Pleiades very 
72
in Santo Antao, Cabo Verde as observed from Pleiades very 
            
73
high-resolution satellite image. About 4 km\u00b2 of land appears to 
73
high-resolution satellite image. About 4 km\u00b2 of land appears to 
            
74
be affected by the flood / mudflow extent. UNOSAT identified less than 
74
be affected by the flood / mudflow extent. UNOSAT identified less than 
            
75
460 affected buildings with less than 1000 people potentially 
75
460 affected buildings with less than 1000 people potentially 
            
76
affected. In addition, approximately 5 km of roads with 2 bridges were 
76
affected. In addition, approximately 5 km of roads with 2 bridges were 
            
77
affected. \r\n\r\nThis is a preliminary analysis and has not yet been 
77
affected. \r\n\r\nThis is a preliminary analysis and has not yet been 
            
78
validated in the field. Please send ground feedback to the United 
78
validated in the field. Please send ground feedback to the United 
            
79
Nations Satellite Centre (UNOSAT).",
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Nations Satellite Centre (UNOSAT).",
            
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    "approval_status": "approved",
            
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    "created": "2025-08-20T12:12:09.554784",
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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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    "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 
91
technologies to support humanitarian response, sustainable 
            
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development, and resilience building worldwide.\r\n\r\n# About 
92
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 
93
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 
94
numbers of victims of conflicts are urgent issues that require 
            
95
effective and rapid action. Satellite imagery analysis can cover large 
95
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 
96
areas and provide accurate information in near real-time. The ability 
            
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of national and regional authorities to seamlessly collect, integrate, 
97
of national and regional authorities to seamlessly collect, integrate, 
            
98
analyze geospatial information in a comprehensible and easy-to-use 
98
analyze geospatial information in a comprehensible and easy-to-use 
            
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format is key to strengthening disaster and climate resilience, 
99
format is key to strengthening disaster and climate resilience, 
            
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supporting humanitarian action, and supporting sustainable development 
100
supporting humanitarian action, and supporting sustainable development 
            
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policies. The United Nations Satellite Centre (UNOSAT) promotes 
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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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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 
103
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 
104
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 
105
Nations Institute for Training and Research (UNITAR), with a mandate 
            
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to provide United Nations funds, programmes and specialized agencies 
106
to provide United Nations funds, programmes and specialized agencies 
            
107
with satellite analysis, training and capacity development, at their 
107
with satellite analysis, training and capacity development, at their 
            
108
request as well as support Member States with satellite imagery 
108
request as well as support Member States with satellite imagery 
            
109
analysis over their respective territories and provide training and 
109
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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technologies.",
            
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      "description": "This map illustrates satellite-detected mudflow 
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      "description": "This map illustrates satellite-detected mudflow 
            
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extent in Santo Antao, Cabo Verde as observed from Pleiades very 
155
extent in Santo Antao, Cabo Verde as observed from Pleiades very 
            
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high-resolution satellite image.",
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      "modified": "2025-08-28",
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      "modified": "2025-08-28",
            
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      "name": "Flood Extent - Santo Antao (13-16 August 2025)",
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