<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20221028</CreaDate>
<CreaTime>08142600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>ISO 19139 Metadata Implementation Specification</ArcGISstyle>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>Lidar generated DEM with Hillshades for Camp Shelby, MS 2016
This was through a contract with MDEQ. MARIS generated the hill shade using Image Analysis.
Projection : WGS84
DEM: 1 meter DEM Bare Earth (.tif)
Units: Feet
Vertical Datum: NAVD88 GEOID12A</idAbs>
<searchKeys>
<keyword>elevation</keyword>
<keyword>hill shade</keyword>
<keyword>Camp Shelby</keyword>
</searchKeys>
<idPurp>Lidar generated DEM with Hillshades for Camp Shelby, MS 2016</idPurp>
<idCredit>MDEQ,NPS,USGS, MARIS </idCredit>
<resConst>
<Consts>
<useLimit>none</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>CampShelby_DEMwHillshade_2016</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
