{
 "culture": "en-US",
 "name": "HendersonCountyLandUse",
 "guid": "170EC14F-E04B-4477-AB89-12DDFDAB54EC",
 "catalogPath": "",
 "snippet": "This feature service provides up-to-date information on parcel geometry, historical land-use data, and proposed classification updates for Henderson County. Each record encompasses spatial attributes derived from a consolidated workflow, which integrates Henderson County parcel, building, and address data, as well as NLCD-based land cover assessments. The feature class includes both machine-learning-driven recommendations and rule-based evaluations that reconcile multiple sources of land-use labels. It is designed to support dynamic planning and zoning processes, offering timely insight into each parcel\u2019s identified, historical, and proposed land-use status.",
 "description": "<div style='text-align:Left;font-size:12pt'><p><span>This feature service provides a unified, up-to-date view of Henderson County\u2019s parcels, integrating official and proposed land-use classifications with key geospatial attributes for planning and analysis. It merges geometry from the parcels feature class, existing land-use assignments from the FBRMPO dataset, addresses, and building data, along with National Land Cover Database (NLCD) metrics. Each record captures both current and historical land-use states, plus machine-learning\u2013derived proposals, ensuring stakeholders can access attributes such as address density, impervious surface statistics, adjacency measures, and standardized land-use categories in one consistent, versioned dataset.<\/span><\/p><\/div>",
 "summary": "This feature service provides up-to-date information on parcel geometry, historical land-use data, and proposed classification updates for Henderson County. Each record encompasses spatial attributes derived from a consolidated workflow, which integrates Henderson County parcel, building, and address data, as well as NLCD-based land cover assessments. The feature class includes both machine-learning-driven recommendations and rule-based evaluations that reconcile multiple sources of land-use labels. It is designed to support dynamic planning and zoning processes, offering timely insight into each parcel\u2019s identified, historical, and proposed land-use status.",
 "title": "HendersonCountyLandUse",
 "tags": [
  "land use",
  "parcels",
  "zoning",
  "classification",
  "machine learning",
  "Henderson County",
  "planning"
 ],
 "type": "Map Service",
 "typeKeywords": [
  "ArcGIS",
  "ArcGIS Server",
  "Data",
  "Map Service",
  "Service"
 ],
 "thumbnail": "thumbnail/thumbnail.png",
 "url": "",
 "extent": [
  [
   -82.745143029,
   35.1441967810001
  ],
  [
   -82.261175349,
   35.5002148630001
  ]
 ],
 "minScale": 0,
 "maxScale": 1.7976931348623157E308,
 "spatialReference": "GCS_WGS_1984",
 "accessInformation": "",
 "licenseInfo": "",
 "portalUrl": ""
}