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  "alternate_identifier": "",
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  "alternate_identifier": "",
            
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  "author": "IHP-WINS",
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  "author": "IHP-WINS",
            
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  "author_email": "ihp-wins@unesco.org",
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  "author_email": "ihp-wins@unesco.org",
            
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  "contact_email": "ihp-wins@unesco.org",
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  "contact_email": "ihp-wins@unesco.org",
            
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  "contact_name": "IHP-WINS",
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  "contact_name": "IHP-WINS",
            
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  "contact_uri": "",
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  "contact_uri": "",
            
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  "created": "2025-08-20",
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  "created": "2025-08-20",
            
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  "creator_user_id": "8ad64841-340c-49dc-8716-c6b61ea4b111",
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  "creator_user_id": "8ad64841-340c-49dc-8716-c6b61ea4b111",
            
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  "custom_citation": "",
            
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  "custom_doi": "",
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  "dataset_scope": "spatial_dataset",
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  "dataset_scope": "spatial_dataset",
            
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  "dcat_type": 
            
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  "doi": "10.63253/unkjbzkm",
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  "doi": "10.63253/unkjbzkm",
            
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  "doi_date_published": "2025-08-28",
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  "doi_date_published": "2025-08-28",
            
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  "doi_publisher": "UNESCO IHP-WINS",
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  "doi_publisher": "UNESCO IHP-WINS",
            
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  "domain": "https://ihp-wins.unesco.org",
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  "domain": "https://ihp-wins.unesco.org",
            
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  "groups": [
            
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    {
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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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    }
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    }
            
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  ],
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  ],
            
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  "id": "424e8043-03cf-4856-a923-2a2bbc55ad15",
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  "id": "424e8043-03cf-4856-a923-2a2bbc55ad15",
            
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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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  "inspire_id": "",
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  "inspire_id": "",
            
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  "language": 
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  "language": 
            
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"http://publications.europa.eu/resource/authority/language/ENG",
            
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  "license_id": "cc-by-sa",
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  "license_id": "cc-by-sa",
            
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  "license_title": "Creative Commons Attribution Share-Alike",
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  "license_title": "Creative Commons Attribution Share-Alike",
            
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  "license_url": "http://www.opendefinition.org/licenses/cc-by-sa",
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  "license_url": "http://www.opendefinition.org/licenses/cc-by-sa",
            
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  "lineage_process_steps": [],
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  "lineage_process_steps": [],
            
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  "lineage_source": [],
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  "lineage_source": [],
            
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  "maintainer": "IHP-WINS",
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  "maintainer": "IHP-WINS",
            
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  "maintainer_email": "ihp-wins@unesco.org",
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  "maintainer_email": "ihp-wins@unesco.org",
            
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  "maintainer_url": "",
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  "maintainer_url": "",
            
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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": "2025-08-28T11:41:59.995266",
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  "metadata_modified": "2025-08-28T11:43:14.197861",
            
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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": 
59
  "name": 
            
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ent-in-east-sao-vicente-municipality-cabo-verde-as-of-14-august-2025",
60
ent-in-east-sao-vicente-municipality-cabo-verde-as-of-14-august-2025",
            
61
  "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 
            
63
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).",
            
70
  "notes_translated": {
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  "notes_translated": {
            
71
    "en": "This dataset illustrates satellite-detected mudflow extent 
71
    "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).",
79
Nations Satellite Centre (UNOSAT).",
            
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    "es": "",
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    "es": "",
            
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    "fr": ""
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    "fr": ""
            
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  },
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  "num_resources": 4,
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  "num_tags": 9,
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  "num_tags": 9,
            
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  "organization": {
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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), 
            
89
part of UNITAR, delivers satellite analysis, training, and capacity 
89
part of UNITAR, delivers satellite analysis, training, and capacity 
            
90
development to UN entities and Member States. We leverage geospatial 
90
development to UN entities and Member States. We leverage geospatial 
            
91
technologies to support humanitarian response, sustainable 
91
technologies to support humanitarian response, sustainable 
            
92
development, and resilience building worldwide.\r\n\r\n# About 
92
development, and resilience building worldwide.\r\n\r\n# About 
            
93
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 
            
94
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 
            
96
areas and provide accurate information in near real-time. The ability 
96
areas and provide accurate information in near real-time. The ability 
            
97
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 
            
99
format is key to strengthening disaster and climate resilience, 
99
format is key to strengthening disaster and climate resilience, 
            
100
supporting humanitarian action, and supporting sustainable development 
100
supporting humanitarian action, and supporting sustainable development 
            
101
policies. The United Nations Satellite Centre (UNOSAT) promotes 
101
policies. The United Nations Satellite Centre (UNOSAT) promotes 
            
102
evidence-based decision-making for peace, security, and resilience 
102
evidence-based decision-making for peace, security, and resilience 
            
103
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 
            
104
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 
            
105
Nations Institute for Training and Research (UNITAR), with a mandate 
105
Nations Institute for Training and Research (UNITAR), with a mandate 
            
106
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 
            
110
capacity development in the use of geospatial information 
110
capacity development in the use of geospatial information 
            
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technologies.",
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technologies.",
            
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      "created": "2025-08-20T00:00:00",
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      "datastore_active": false,
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      "datastore_active": false,
            
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      "description": "This map illustrates satellite-detected mudflow 
154
      "description": "This map illustrates satellite-detected mudflow 
            
n
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extent in East Sao Vicente Municipality, Cabo Verde as observed from 
n
155
extent in Santo Antao, Cabo Verde as observed from Pleiades very 
            
156
Pleiades very high-resolution satellite image acquired on 14 August 
156
high-resolution satellite image.",
            
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2025 at 11:43 local time (12:43 UTC).",

            
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      "metadata_modified": "2025-08-28T11:43:14.204509",
            
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      "modified": "2025-08-28",
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      "modified": "2025-08-28",
            
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      "name": "Flood Extent - East Sao Vicente (14 August 2025)",
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      "name": "Flood Extent - Santo Antao (13-16 August 2025)",
            
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      "state": "active",
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      "status": "http://purl.org/adms/status/Completed",
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      "status": "http://purl.org/adms/status/Completed",
            
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      "url": 
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      "url": 
            
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