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Service Description: <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>
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Has Versioned Data: false
MaxRecordCount: 2000
Supported Query Formats: JSON
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Description: 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.
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Spatial Reference:
4326
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LatestVCSWkid(0)
Initial Extent:
XMin: -82.68413149464003
YMin: 35.10031470844684
XMax: -82.30396590959377
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Spatial Reference: 4326
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Spatial Reference: 4326
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LatestVCSWkid(0)
Units: esriDecimalDegrees
Document Info:
Title: hc_lu_sde_fs
Author:
Comments: 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.
Subject: 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.
Category:
Keywords: land use,parcels,zoning,classification,machine learning,Henderson County,planning
AntialiasingMode: null
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Enable Z Defaults: false
Supports ApplyEdits With Global Ids: false
Support True Curves : true
Only Allow TrueCurve Updates By TrueCurveClients : true
Supports Return Service Edits Option : false
Supports Dynamic Layers: false
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