<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20250918</CreaDate>
<CreaTime>14543600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>TorranceCounty</resTitle>
</idCitation>
<idAbs>The NMFlood interactive website distributes maps, data, and related flood information for Torrance 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. On the NM Flood - Torrance County Experience Builder on EDAC gen account. On the nmflood.org website.</idAbs>
<searchKeys>
<keyword>Torrance</keyword>
<keyword>Flood</keyword>
<keyword>FEMA</keyword>
</searchKeys>
<idPurp>Torrance County Flood Map</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
