| snippet:
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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’s identified, historical, and proposed land-use status. |
| summary:
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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’s identified, historical, and proposed land-use status. |
| extent:
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[[-82.745143029,35.1441967810001],[-82.261175349,35.5002148630001]] |
| 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","Map Service","Service"] |
| description:
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<div style='text-align:Left;font-size:12pt'><p><span>This feature service provides a unified, up-to-date view of Henderson County’s 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–derived 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> |
| licenseInfo:
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|
| catalogPath:
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|
| title:
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HendersonCountyLandUse |
| type:
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Map Service |
| url:
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|
| tags:
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["land use","parcels","zoning","classification","machine learning","Henderson County","planning"] |
| culture:
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en-US |
| portalUrl:
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|
| name:
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HendersonCountyLandUse |
| guid:
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170EC14F-E04B-4477-AB89-12DDFDAB54EC |
| minScale:
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0 |
| spatialReference:
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GCS_WGS_1984 |