<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20181031</CreaDate>
<CreaTime>15592200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>The NMFlood interactive website distributes maps, data, and related flood information for Mora County, NM. 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>Mora</keyword>
<keyword>Flood</keyword>
<keyword>FEMA</keyword>
</searchKeys>
<idPurp>Mora County Flood Map</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>MoraCounty</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
