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Service 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.
HendersonCountyLandUse
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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
(4326)
Single Fused Map Cache: false
Initial Extent:
XMin: -82.68413149464003
YMin: 35.10031470844684
XMax: -82.30396590959377
YMax: 35.56577385424065
Spatial Reference: 4326
(4326)
Full Extent:
XMin: -82.74514302899996
YMin: 35.14419678100006
XMax: -82.26117534899998
YMax: 35.50021486300005
Spatial Reference: 4326
(4326)
Units: esriDecimalDegrees
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
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: Fast
TextAntialiasingMode: Force
Supports Dynamic Layers: true
MaxRecordCount: 2000
MaxImageHeight: 4096
MaxImageWidth: 4096
Supported Query Formats: JSON, geoJSON, PBF
Supports Query Data Elements: true
Min Scale: 0
Max Scale: 0
Supports Datum Transformation: true
Child Resources:
Info
Dynamic Layer
Supported Operations:
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