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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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  "created": "2025-08-20",
            
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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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      "name": "cabo-verde",
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      "name": "cabo-verde",
            
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      "title": "Cabo Verde"
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      "title": "Cabo Verde"
            
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  "identifier": 
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  "identifier": 
            
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nt-in-East-Sao-Vicente-Municipality,-Cabo-Verde-as-of-14-August-2025",
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nt-in-East-Sao-Vicente-Municipality,-Cabo-Verde-as-of-14-August-2025",
            
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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": "2025-08-20T12:16:10.022783",
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  "metadata_modified": "2025-08-20T12:18:12.377284",
            
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  "metadata_profile": [],
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  "metadata_profile": [],
            
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  "modified": "2025-08-20",
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  "modified": "2025-08-20",
            
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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 
62
  "notes": "This dataset illustrates satellite-detected mudflow extent 
            
63
in East Sao Vicente Municipality, Cabo Verde as observed from Pleiades 
63
in East Sao Vicente Municipality, Cabo Verde as observed from Pleiades 
            
64
very high-resolution satellite image acquired on 14 August 2025 at 
64
very high-resolution satellite image acquired on 14 August 2025 at 
            
65
11:43 local time (12:43 UTC). Within the analyzed area of 
65
11:43 local time (12:43 UTC). Within the analyzed area of 
            
66
approximately 35 km\u00b2, about 3 km\u00b2 of land appears to be 
66
approximately 35 km\u00b2, about 3 km\u00b2 of land appears to be 
            
67
affected by flood. UNOSAT identified around 1,000 affected/potentially 
67
affected by flood. UNOSAT identified around 1,000 affected/potentially 
            
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affected buildings and approximately 15 km of affected roads.",
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affected buildings and approximately 15 km of affected roads.",
            
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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 
71
in East Sao Vicente Municipality, Cabo Verde as observed from Pleiades 
            
72
very high-resolution satellite image acquired on 14 August 2025 at 
72
very high-resolution satellite image acquired on 14 August 2025 at 
            
73
11:43 local time (12:43 UTC). Within the analyzed area of 
73
11:43 local time (12:43 UTC). Within the analyzed area of 
            
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approximately 35 km\u00b2, about 3 km\u00b2 of land appears to be 
74
approximately 35 km\u00b2, about 3 km\u00b2 of land appears to be 
            
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affected by flood. UNOSAT identified around 1,000 affected/potentially 
75
affected by flood. UNOSAT identified around 1,000 affected/potentially 
            
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affected buildings and approximately 15 km of affected roads.",
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affected buildings and approximately 15 km of affected roads.",
            
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  "organization": {
            
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    "approval_status": "approved",
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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 
88
technologies to support humanitarian response, sustainable 
            
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development, and resilience building worldwide.\r\n\r\n# About 
89
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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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 
93
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, 
96
format is key to strengthening disaster and climate resilience, 
            
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supporting humanitarian action, and supporting sustainable development 
97
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 
100
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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Nations Institute for Training and Research (UNITAR), with a mandate 
            
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to provide United Nations funds, programmes and specialized agencies 
103
to provide United Nations funds, programmes and specialized agencies 
            
104
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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technologies.",
            
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extent in East Sao Vicente Municipality, Cabo Verde as observed from 
            
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Pleiades very high-resolution satellite image acquired on 14 August 
            
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