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<metadata xml:lang="en">
<Esri>
<CreaDate>20181031</CreaDate>
<CreaTime>16370100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
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<dataIdInfo>
<idAbs>The NMFlood interactive website distributes maps, data, and related flood information for select counties in the state of New Mexico. This application is developed by the Earth Data Analysis Center, University of New Mexico (EDAC/UNM) in collaboration with the New Mexico Department of Homeland Security and Emergency Management (NMDHSEM) and Federal Emergency Management Agency (FEMA) Cooperating Technical Partners Program to provide geospatial support to New Mexico communities that are at risk for flooding. As a Cooperating Technical Partner, EDAC leads the New Mexico Discovery Process to identify areas of mitigation interest, and local flood studies. </idAbs>
<searchKeys>
<keyword>New</keyword>
<keyword>Mexico</keyword>
<keyword>NM</keyword>
<keyword>New Mexico</keyword>
<keyword>Flood</keyword>
<keyword>FEMA</keyword>
</searchKeys>
<idPurp>New Mexico Flood Layers</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>NMFloodService</resTitle>
</idCitation>
</dataIdInfo>
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</Data>
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