{"action":"create","ckan_id":null,"date_created":"Tue, 10 Mar 2026 00:13:43 GMT","date_finished":null,"harvest_job_id":"9c14f6bd-f9f0-4ef0-a785-306043c4a5af","harvest_source_id":"8835bda5-34a9-4c7e-b1fd-073d08c77541","id":"e8c1aff8-e682-4ed3-a72b-a1cc92fdd073","identifier":"https://www.arcgis.com/home/item.html?id=e8b7beca0fd649b1a77c58fafc4658a9&sublayer=1","parent_identifier":null,"source_hash":"d05b52cd9d151d35a4c2b781d1c7a81e4c9fdd14816b3d917447e1383e2ae0c0","source_raw":"{\"@type\": \"dcat:Dataset\", \"accessLevel\": \"public\", \"contactPoint\": {\"@type\": \"vcard:Contact\", \"fn\": \"jacobfrance\", \"hasEmail\": \"http://bniajfi.org/contact_us/\"}, \"description\": \"<div><span style='font-style: italic;'>The percent of total land area comprised of tree canopy. The primary sources for this land cover layer were 2004 pan-sharpened 1m Ikonos satellite imagery, a normalized Digital Surface Model (nDSM) derived from 2006 LiDAR data, and LiDAR intensity data resulting from the 2006 acquisition. Other sources of data include the City's planimetric GIS database (building footprints and road casing polygons). The land cover classification was performed using automated object-based image analysis (OBIA) techniques in Definiens Developer/eCognition Server. No accuracy assessment was conducted, but the dataset was thoroughly reviewed at a scale of 1:2000. Over 370 corrections were made to the classification. </span><br /></div><div><br /></div><div><span style='font-weight: bold;'>Source:</span> University of Vermont Spatial Analysis Lab\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0 <br /></div><div><span style='font-weight: bold;'>Years Available:</span> 2011, 2017</div>\", \"distribution\": [{\"@type\": \"dcat:Distribution\", \"accessURL\": \"https://data.baltimorecity.gov/api/download/v1/items/e8b7beca0fd649b1a77c58fafc4658a9/csv?layers=1\", \"format\": \"CSV\", \"mediaType\": \"text/csv\", \"title\": \"CSV\"}, {\"@type\": \"dcat:Distribution\", \"accessURL\": \"https://data.baltimorecity.gov/api/download/v1/items/e8b7beca0fd649b1a77c58fafc4658a9/geojson?layers=1\", \"format\": \"GeoJSON\", \"mediaType\": \"application/vnd.geo+json\", \"title\": \"GeoJSON\"}, {\"@type\": \"dcat:Distribution\", \"accessURL\": \"https://data.baltimorecity.gov/api/download/v1/items/e8b7beca0fd649b1a77c58fafc4658a9/kml?layers=1\", \"format\": \"KML\", \"mediaType\": \"application/vnd.google-earth.kml+xml\", \"title\": \"KML\"}, {\"@type\": \"dcat:Distribution\", \"accessURL\": \"https://data.baltimorecity.gov/api/download/v1/items/e8b7beca0fd649b1a77c58fafc4658a9/shapefile?layers=1\", \"format\": \"ZIP\", \"mediaType\": \"application/zip\", \"title\": \"Shapefile\"}, {\"@type\": \"dcat:Distribution\", \"accessURL\": \"https://data.baltimorecity.gov/datasets/bniajfi::percent-of-area-covered-by-trees-city\", \"format\": \"Web Page\", \"mediaType\": \"text/html\", \"title\": \"ArcGIS Hub Dataset\"}, {\"@type\": \"dcat:Distribution\", \"accessURL\": \"https://services1.arcgis.com/mVFRs7NF4iFitgbY/arcgis/rest/services/Trees/FeatureServer/1\", \"format\": \"ArcGIS GeoServices REST API\", \"mediaType\": \"application/json\", \"title\": \"ArcGIS GeoService\"}], \"identifier\": \"https://www.arcgis.com/home/item.html?id=e8b7beca0fd649b1a77c58fafc4658a9&sublayer=1\", \"issued\": \"2020-02-26T21:26:49.000Z\", \"keyword\": [\"environment\", \"sustainability\"], \"landingPage\": \"https://data.baltimorecity.gov/datasets/bniajfi::percent-of-area-covered-by-trees-city\", \"license\": \"\", \"modified\": \"2021-04-23T15:24:45.863Z\", \"publisher\": {\"name\": \"Baltimore Neighborhood Indicators Alliance\"}, \"spatial\": \"-76.7120,39.1977,-76.5289,39.3720\", \"theme\": [\"geospatial\"], \"title\": \"Percent of Area Covered by Trees - City\"}","source_transform":null,"status":"error"}