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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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  "doi": "10.63253/unkjbzkm",
            
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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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      "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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  "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": "2025-08-20T12:18:12.377284",
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  "metadata_modified": "2025-08-20T12:20:03.079179",
            
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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 
            
71
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 
            
74
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 
            
75
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 
90
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 
92
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, 
94
of national and regional authorities to seamlessly collect, integrate, 
            
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analyze geospatial information in a comprehensible and easy-to-use 
95
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, 
            
97
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 
98
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 
            
101
is the United Nations Satellite Centre, it is part of the United 
101
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 
            
103
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 
104
with satellite analysis, training and capacity development, at their 
            
105
request as well as support Member States with satellite imagery 
105
request as well as support Member States with satellite imagery 
            
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analysis over their respective territories and provide training and 
106
analysis over their respective territories and provide training and 
            
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capacity development in the use of geospatial information 
107
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 
151
      "description": "This map illustrates satellite-detected mudflow 
            
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extent in East Sao Vicente Municipality, Cabo Verde as observed from 
152
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 
153
Pleiades very high-resolution satellite image acquired on 14 August 
            
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      "modified": "2025-08-20",
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      "modified": "2025-08-20",
            
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      "name": "Flood Extent - East Sao Vicente (14 August 2025)",
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      "name": "Flood Extent - East Sao Vicente (14 August 2025)",
            
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      "url": 
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      "created": "2025-08-20T00:00:00",
            
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      "description": "This file contains the affected buildings in the 
            
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area affected by the flood and mudflow. Within the analyzed area of 
            
185
approximately 35 km\u00b2, about 3 km\u00b2 of land appears to be 
            
186
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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