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<metadata xml:lang="en">
<Esri>
<CreaDate>20200605</CreaDate>
<CreaTime>11445100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>This LiDAR dataset was created for the City of Eureka, California covering approximately 105 square miles of the city and its environs. The origin data was collected on Septemer 24th, 2019 using a Leica Hyperion LiDAR mapping unit and associated ground control was collected by a California Certified PLS. All data was acquired and processed in California Zone 1 State Plane, NAD83(2011), NAVD88 in US Survey Feet. Datasets included 12 ppsm Bare Earth Classified LAS, 1-Meter DSM and a 1-Foot Interval Contour Extraction.</idAbs>
<searchKeys>
<keyword>Humboldt County Web GIS Planning Building</keyword>
</searchKeys>
<idPurp>Eurkea Contours from LiDAR</idPurp>
<idCredit>City of Eureka by Access Geographic, LLC, Tempe, Arizona.</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>SERVICE_Contours_from_LiDAR</resTitle>
</idCitation>
</dataIdInfo>
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</Data>
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