<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20250213</CreaDate>
<CreaTime>21000100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20241123" Time="104902" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CreateReferencedMosaicDataset">CreateReferencedMosaicDataset Q:\lidar\datasets\WM\DEM2023.gdb\DEM2023_2ft Q:\lidar\datasets\WM\DEM2023.gdb\R_hillshade_2ft PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]] # # # # # SELECT_USING_FEATURES # # # # BUILD_BOUNDARY</Process>
<Process Date="20250213" Time="204341" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CopyMultiple">CopyMultiple "Q:\lidar\datasets\WM\DEM2023.gdb\R_hillshade_2ft MosaicDataset" Q:\lidar\datasets\WM\DEM2023.gdb R_hillshade_2ft_1 "R_hillshade_2ft MosaicDataset R_hillshade_2ft_1 #"</Process>
<Process Date="20250213" Time="205156" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Rename">Rename Q:\lidar\datasets\WM\DEM2023.gdb\R_hillshade_2ft_1 Q:\lidar\datasets\WM\DEM2023.gdb\R_shadedrelief_2ft MosaicDataset</Process>
<Process Date="20250213" Time="210039" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CopyMultiple">CopyMultiple "Q:\lidar\datasets\WM\DEM2023.gdb\R_shadedrelief_2ft MosaicDataset" Q:\lidar\datasets\WM\DEM2023.gdb R_shadedrelief_2ft_1 "R_shadedrelief_2ft MosaicDataset R_shadedrelief_2ft_1 #"</Process>
<Process Date="20250213" Time="210856" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Rename">Rename Q:\lidar\datasets\WM\DEM2023.gdb\R_shadedrelief_2ft_1 Q:\lidar\datasets\WM\DEM2023.gdb\R_shadedrelief_2ft_noDRA MosaicDataset</Process>
</lineage>
<itemProps>
<itemLocation>
<linkage Sync="TRUE">file://\\grove.ad.uconn.edu\efs\CTECO\lidar\datasets\WM\DEM2023.gdb</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
</itemProps>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs>Elevation displayed as shaded relief from 2 foot DEM derived from 2023 Connecticut statewide lidar collection. DRA is dynamic range adjustment. When used, the min and max colors change based on the view extent. Visit https://maps.cteco.uconn.edu/data/flight2023/ for more information.</idAbs>
<idPurp>Elevation displayed as shaded relief from 2 foot DEM derived from 2023 Connecticut statewide lidar collection. DRA is dynamic range adjustment. When used, the min and max colors change based on the view extent. Visit https://maps.cteco.uconn.edu/data/flight2023/ for more information.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>ShadedRelief_noDRA</resTitle>
</idCitation>
<searchKeys>
<keyword/>
</searchKeys>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
