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<CreaDate>20230531</CreaDate>
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<resTitle>Cumberland Wetness Index</resTitle>
</idCitation>
<searchKeys>
<keyword>Wetness Index</keyword>
<keyword>Cumberland County</keyword>
</searchKeys>
<idPurp>The wetness index raster was derived from the Cumberland county slope raster.</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;P&gt;&lt;SPAN&gt;The Wetness Index is a Computed Topographic Index (CTI) derived from the National Hydrography Dataset Plus flow accumulation and slope of the Digital Elevation Model. The index is used to identify areas in the landscape likely to be wet. &lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Chesapeake Conservancy (CIC)</idCredit>
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</Data>
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