{
 "culture": "en-US",
 "name": "debris_estimate",
 "guid": "E7EA940B-D6BE-4284-BAEC-2E88EDEEB9C7",
 "catalogPath": "",
 "snippet": "This dataset provides building-level and hexagon-level estimates of building debris and personal property debris generated from earthquake damage assessments in Catia La Mar, Catia La Mar East, La Guaira, and Caraballeda, Venezuela. Estimates combine Microsoft AI for Good building damage assessments with Google Open Buildings 2.5D building height data to derive building characteristics, estimate debris generation, and support post-disaster response and debris management.",
 "description": "<p>This dataset contains both <strong>building-level<\/strong> and <strong>hexagon-level<\/strong> estimates of debris generated by damaged buildings and personal property following the Venezuela earthquake. Building-level estimates were derived by combining AI-based building damage assessments with building height information from the Google Open Buildings 2.5D Temporal Dataset. For each building, footprint area, average height, estimated number of floors, gross floor area, and building volume were calculated. Damage probabilities were classified into five damage categories and converted into estimates of building debris (tons) and personal property debris (tons) using predefined damage coefficients.<span><\/span><\/p>\n<p>Building-level results were aggregated to a regular hexagonal grid using representative points to avoid double-counting buildings intersecting multiple cells. Hexagon-level indicators include the number of buildings, total estimated building debris, total estimated personal property debris, mean building damage percentage, and maximum building damage percentage. The dataset is intended to support humanitarian response, debris management, recovery planning, and spatial damage assessment.<\/p>",
 "summary": "This dataset provides building-level and hexagon-level estimates of building debris and personal property debris generated from earthquake damage assessments in Catia La Mar, Catia La Mar East, La Guaira, and Caraballeda, Venezuela. Estimates combine Microsoft AI for Good building damage assessments with Google Open Buildings 2.5D building height data to derive building characteristics, estimate debris generation, and support post-disaster response and debris management.",
 "title": "debris_estimate",
 "tags": [],
 "type": "Feature Service",
 "typeKeywords": [
  "ArcGIS",
  "ArcGIS Server",
  "Data",
  "Feature Access",
  "Feature Service",
  "providerSDS",
  "Service"
 ],
 "thumbnail": "thumbnail/thumbnail.png",
 "url": "",
 "extent": [
  [
   -67.1154054639999,
   10.5163044650001
  ],
  [
   -66.8062222409999,
   10.6271872560001
  ]
 ],
 "minScale": 0,
 "maxScale": 1.7976931348623157E308,
 "spatialReference": "GCS_WGS_1984",
 "accessInformation": "This dataset was produced using building damage assessment data developed by Microsoft AI for Good Lab and published through the Humanitarian Data Exchange (HDX). Building height estimates were derived from the Google Research Open Buildings 2.5D Temporal Dataset. Debris estimation methodology and spatial aggregation were developed by the dataset authors.",
 "licenseInfo": "",
 "portalUrl": ""
}