| snippet:
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Combined Damage Assessment – Transportation and Buildings (Copernicus & UNOSAT) |
| summary:
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Combined Damage Assessment – Transportation and Buildings (Copernicus & UNOSAT) |
| extent:
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[[94.698808612116,18.8968867116418],[97.2123405990255,23.7848161228658]] |
| accessInformation:
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| thumbnail:
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thumbnail/thumbnail.png |
| maxScale:
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1.7976931348623157E308 |
| typeKeywords:
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["ArcGIS","ArcGIS Server","Data","Feature Access","Feature Service","providerSDS","Service"] |
| description:
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<p>This layer presents a harmonized damage assessment of transportation infrastructure and buildings, derived from remote sensing analyses conducted by both UNOSAT and the Copernicus Emergency Management Service (EMS). It consolidates data from:</p>
<ul>
<li>
<p><strong>UNOSAT</strong>: Satellite-based damage mapping and analysis accessible via their <a href='https://experience.arcgis.com/experience/c50e40edd0b14525b250dd2e72acf3fd/page/UNOSAT?views=Home' target='_new'>ArcGIS platform</a>, providing detailed damage classifications across key affected zones.</p>
</li>
<li>
<p><strong>Copernicus EMS (Activation EMSR798)</strong>: <a href='https://mapping.emergency.copernicus.eu/activations/EMSR798/' target='_new'>Operational mapping outputs</a> that document structural and infrastructure damage using very high-resolution satellite imagery and expert interpretation.</p>
</li>
</ul>
<p>The merged dataset encompasses the full Area of Interest (AoI) as covered by either service, standardizing the inputs to provide a comprehensive and non-duplicative overview of observed damages. It includes classifications such as destroyed, severely damaged, and possibly damaged, along with transportation features (e.g., roads, bridges) flagged for visible damage or obstruction.</p> |
| licenseInfo:
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| catalogPath:
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|
| title:
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Copernicus and UNOSAT analysis |
| type:
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Feature Service |
| url:
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|
| tags:
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[] |
| culture:
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en-US |
| portalUrl:
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|
| name:
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Copernicus_and_UNOSAT_analysis |
| guid:
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7388AF2A-AF0B-418F-BDC4-CDB13BD66201 |
| minScale:
|
0 |
| spatialReference:
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GCS_WGS_1984 |