Modifications
On 28 août 2025 à 11:44:45 TU,
IHP-WINS:
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Renamed resource Exposed Buildings - East Sao Vicente (14 August 2025) to Exposed Buildings - Santo Antao (13-16 August 2025) in Flood impact assessment in Santo Antao, Cabo Verde (13-16 August 2025)
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Updated description of resource Exposed Buildings - Santo Antao (13-16 August 2025) in Flood impact assessment in Santo Antao, Cabo Verde (13-16 August 2025) from
This file contains the affected buildings in the area affected by the flood and mudflow. Within the analyzed area of approximately 35 km², about 3 km² of land appears to be affected by flood. UNOSAT identified around 1,000 affected/potentially affected buildings and approximately 15 km of affected roads.
toThis file contains the affected buildings in the area affected by the flood and mudflow. About 4 km² of land appears to be affected by the flood / mudflow extent. UNOSAT identified less than 460 affected buildings with less than 1000 people potentially affected. In addition, approximately 5 km of roads with 2 bridges were affected.
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Uploaded a new file to resource Exposed Buildings - Santo Antao (13-16 August 2025) in Flood impact assessment in Santo Antao, Cabo Verde (13-16 August 2025)
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| 55 | "metadata_created": "2025-08-20T12:15:49.371091", | 55 | "metadata_created": "2025-08-20T12:15:49.371091", | ||
| n | 56 | "metadata_modified": "2025-08-28T11:43:14.197861", | n | 56 | "metadata_modified": "2025-08-28T11:44:44.140567", |
| 57 | "metadata_profile": [], | 57 | "metadata_profile": [], | ||
| 58 | "modified": "2025-08-28", | 58 | "modified": "2025-08-28", | ||
| 59 | "name": | 59 | "name": | ||
| 60 | 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": { | 70 | "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).", | ||
| 80 | "es": "", | 80 | "es": "", | ||
| 81 | "fr": "" | 81 | "fr": "" | ||
| 82 | }, | 82 | }, | ||
| 83 | "num_resources": 4, | 83 | "num_resources": 4, | ||
| 84 | "num_tags": 9, | 84 | "num_tags": 9, | ||
| 85 | "organization": { | 85 | "organization": { | ||
| 86 | "approval_status": "approved", | 86 | "approval_status": "approved", | ||
| 87 | "created": "2025-08-20T12:12:09.554784", | 87 | "created": "2025-08-20T12:12:09.554784", | ||
| 88 | "description": "###The United Nations Satellite Centre (UNOSAT), | 88 | "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 | ||
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| 110 | capacity development in the use of geospatial information | 110 | capacity development in the use of geospatial information | ||
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| 118 | "title": "UNOSAT ", | 118 | "title": "UNOSAT ", | ||
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| 152 | "created": "2025-08-28T00:00:00", | 152 | "created": "2025-08-28T00:00:00", | ||
| 153 | "datastore_active": false, | 153 | "datastore_active": false, | ||
| 154 | "description": "This map illustrates satellite-detected mudflow | 154 | "description": "This map illustrates satellite-detected mudflow | ||
| 155 | extent in Santo Antao, Cabo Verde as observed from Pleiades very | 155 | extent in Santo Antao, Cabo Verde as observed from Pleiades very | ||
| 156 | high-resolution satellite image.", | 156 | high-resolution satellite image.", | ||
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| 165 | "modified": "2025-08-28", | 165 | "modified": "2025-08-28", | ||
| 166 | "name": "Flood Extent - Santo Antao (13-16 August 2025)", | 166 | "name": "Flood Extent - Santo Antao (13-16 August 2025)", | ||
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| 185 | "description": "This file contains the affected buildings in the | 185 | "description": "This file contains the affected buildings in the | ||
| n | 186 | area affected by the flood and mudflow. Within the analyzed area of | n | 186 | area affected by the flood and mudflow. About 4 km\u00b2 of land |
| 187 | approximately 35 km\u00b2, about 3 km\u00b2 of land appears to be | 187 | appears to be affected by the flood / mudflow extent. UNOSAT | ||
| 188 | affected by flood. UNOSAT identified around 1,000 affected/potentially | 188 | identified less than 460 affected buildings with less than 1000 people | ||
| 189 | affected buildings and approximately 15 km of affected roads.", | 189 | potentially affected. In addition, approximately 5 km of roads with 2 | ||
| 190 | bridges were affected.", | ||||
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| 198 | "modified": "2025-08-28", | 199 | "modified": "2025-08-28", | ||
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| 218 | "description": "This file contains the affected roads in the | 219 | "description": "This file contains the affected roads in the | ||
| 219 | area affected by the floods and mud-flow. Within the analyzed area of | 220 | area affected by the floods and mud-flow. Within the analyzed area of | ||
| 220 | approximately 35 km\u00b2, about 3 km\u00b2 of land appears to be | 221 | approximately 35 km\u00b2, about 3 km\u00b2 of land appears to be | ||
| 221 | affected by flood. UNOSAT identified around 1,000 affected/potentially | 222 | affected by flood. UNOSAT identified around 1,000 affected/potentially | ||
| 222 | affected buildings and approximately 15 km of affected roads.", | 223 | affected buildings and approximately 15 km of affected roads.", | ||
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| 231 | "modified": "2025-08-28", | 232 | "modified": "2025-08-28", | ||
| 232 | "name": "Affected Roads - East Sao Vicente (14 August 2025)", | 233 | "name": "Affected Roads - East Sao Vicente (14 August 2025)", | ||
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