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  "notes": "This map illustrates the structures/buildings damaged by 
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  "notes": "This map illustrates the structures/buildings damaged by 
            
63
Tropical Cyclone MELISSA-25. The analysis focuses on Crawford Village, 
63
Tropical Cyclone MELISSA-25. The analysis focuses on Crawford Village, 
            
64
Black River District, Saint Elizabeth Parish, as of 29 October 2025, 
64
Black River District, Saint Elizabeth Parish, as of 29 October 2025, 
            
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where damage was detected using a WorldView-2 very high-resolution 
65
where damage was detected using a WorldView-2 very high-resolution 
            
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satellite image acquired on 29 October 2025. UNOSAT identified 
66
satellite image acquired on 29 October 2025. UNOSAT identified 
            
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approximately 1,089 buildings as 100% damaged.\r\n\r\nThis is a 
67
approximately 1,089 buildings as 100% damaged.\r\n\r\nThis is a 
            
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preliminary analysis and has not yet been validated in the field. 
68
preliminary analysis and has not yet been validated in the field. 
            
69
Ground verification is encouraged, and feedback can be sent to the 
69
Ground verification is encouraged, and feedback can be sent to the 
            
70
United Nations Satellite Centre (UNOSAT).",
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United Nations Satellite Centre (UNOSAT).",
            
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    "en": "This map illustrates the structures/buildings damaged by 
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    "en": "This map illustrates the structures/buildings damaged by 
            
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Tropical Cyclone MELISSA-25. The analysis focuses on Crawford Village, 
73
Tropical Cyclone MELISSA-25. The analysis focuses on Crawford Village, 
            
74
Black River District, Saint Elizabeth Parish, as of 29 October 2025, 
74
Black River District, Saint Elizabeth Parish, as of 29 October 2025, 
            
75
where damage was detected using a WorldView-2 very high-resolution 
75
where damage was detected using a WorldView-2 very high-resolution 
            
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satellite image acquired on 29 October 2025. UNOSAT identified 
76
satellite image acquired on 29 October 2025. UNOSAT identified 
            
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approximately 1,089 buildings as 100% damaged.\r\n\r\nThis is a 
77
approximately 1,089 buildings as 100% damaged.\r\n\r\nThis is a 
            
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preliminary analysis and has not yet been validated in the field. 
78
preliminary analysis and has not yet been validated in the field. 
            
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Ground verification is encouraged, and feedback can be sent to the 
79
Ground verification is encouraged, and feedback can be sent to the 
            
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United Nations Satellite Centre (UNOSAT).",
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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 
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technologies to support humanitarian response, sustainable 
            
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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 
            
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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, 
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format is key to strengthening disaster and climate resilience, 
            
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supporting humanitarian action, and supporting sustainable development 
            
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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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using geo-spatial information technologies.\r\n\r\n#MANDATE\r\nUNOSAT 
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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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to provide United Nations funds, programmes and specialized agencies 
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to provide United Nations funds, programmes and specialized agencies 
            
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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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damaged by Tropical Cyclone MELISSA-25. The analysis focuses on 
156
damaged by Tropical Cyclone MELISSA-25. The analysis focuses on 
            
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Crawford Village, Black River District, Saint Elizabeth Parish, as of 
157
Crawford Village, Black River District, Saint Elizabeth Parish, as of 
            
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29 October 2025, where damage was detected using a WorldView-2 very 
158
29 October 2025, where damage was detected using a WorldView-2 very 
            
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high-resolution satellite image acquired on 29 October 2025. UNOSAT 
159
high-resolution satellite image acquired on 29 October 2025. UNOSAT 
            
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identified approximately 1,089 buildings as 100% damaged.\r\n\r\nThis 
160
identified approximately 1,089 buildings as 100% damaged.\r\n\r\nThis 
            
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is a preliminary analysis and has not yet been validated in the field. 
161
is a preliminary analysis and has not yet been validated in the field. 
            
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Ground verification is encouraged, and feedback can be sent to the 
162
Ground verification is encouraged, and feedback can be sent to the 
            
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United Nations Satellite Centre (UNOSAT).",
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