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  "Title": "hc_lu_sde_fs",
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  "Comments": "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.",
  "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\u2019s identified, historical, and proposed land-use status.",
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  "Keywords": "land use,parcels,zoning,classification,machine learning,Henderson County,planning"
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