<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20210831</CreaDate>
<CreaTime>09470300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">nlcd_2019_land_cover_l48_202</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">-192765.000000</westBL>
<eastBL Sync="TRUE">-31575.000000</eastBL>
<southBL Sync="TRUE">499275.000000</southBL>
<northBL Sync="TRUE">630525.000000</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<itemLocation>
<linkage Sync="TRUE">file://\\SMANDANAS10\C$\Users\sarah.mandanas\Documents\ArcGIS\Packages\Texas_Coast_Map_82f497\p20\texas_coast_map.gdb</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">Albers_Conical_Equal_Area</projcsn>
<peXml Sync="TRUE">&lt;ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.8.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;Albers_Conical_Equal_Area&amp;quot;,GEOGCS[&amp;quot;GCS_WGS_1984&amp;quot;,DATUM[&amp;quot;D_WGS_1984&amp;quot;,SPHEROID[&amp;quot;WGS_1984&amp;quot;,6378137.0,298.257223563]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Albers&amp;quot;],PARAMETER[&amp;quot;false_easting&amp;quot;,0.0],PARAMETER[&amp;quot;false_northing&amp;quot;,0.0],PARAMETER[&amp;quot;central_meridian&amp;quot;,-96.0],PARAMETER[&amp;quot;standard_parallel_1&amp;quot;,29.5],PARAMETER[&amp;quot;standard_parallel_2&amp;quot;,45.5],PARAMETER[&amp;quot;latitude_of_origin&amp;quot;,23.0],UNIT[&amp;quot;Meter&amp;quot;,1.0]]&lt;/WKT&gt;&lt;XOrigin&gt;-16901100&lt;/XOrigin&gt;&lt;YOrigin&gt;-6972200&lt;/YOrigin&gt;&lt;XYScale&gt;266467840.99085236&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;0.001&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
<lineage>
<Process Date="20210831" Time="094704" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Clip">Clip nlcd_2019_land_cover_l48_20210604.img "-10479501.4543881 -550564.450334886 10479501.4545319 13258032.5133778" C:\Users\sarah.mandanas\Documents\ArcGIS\Packages\Texas_Coast_Map_82f497\p20\texas_coast_map.gdb\nlcd_2019_land_cover_l48_202 USA_Counties 255 NONE NO_MAINTAIN_EXTENT</Process>
</lineage>
</DataProperties>
<SyncDate>20210831</SyncDate>
<SyncTime>09470300</SyncTime>
<ModDate>20210831</ModDate>
<ModTime>09470300</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 19042) ; Esri ArcGIS 12.8.0.29751</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">Corpus Christi Land Cover</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="011"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="002"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-97.969847</westBL>
<eastBL Sync="TRUE">-96.318215</eastBL>
<northBL Sync="TRUE">28.746464</northBL>
<southBL Sync="TRUE">27.540974</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idAbs/>
<searchKeys>
<keyword>Texas</keyword>
</searchKeys>
<idPurp>Land cover data for the counties surrounding Corpus Christi, Texas</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Raster Dataset</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="0"/>
</refSysID>
</RefSystem>
</refSysInfo>
<spdoinfo>
<rastinfo>
<rasttype Sync="TRUE">Pixel</rasttype>
<rowcount Sync="TRUE">4375</rowcount>
<colcount Sync="TRUE">5373</colcount>
<rastxsz Sync="TRUE">30.000000</rastxsz>
<rastysz Sync="TRUE">30.000000</rastysz>
<rastbpp Sync="TRUE">8</rastbpp>
<vrtcount Sync="TRUE">1</vrtcount>
<rastorig Sync="TRUE">Upper Left</rastorig>
<rastcmap Sync="TRUE">TRUE</rastcmap>
<rastcomp Sync="TRUE">LZ77</rastcomp>
<rastband Sync="TRUE">1</rastband>
<rastdtyp Sync="TRUE">pixel codes</rastdtyp>
<rastifor Sync="TRUE">FGDBR</rastifor>
<rastplyr Sync="TRUE">TRUE</rastplyr>
</rastinfo>
</spdoinfo>
<spref>
<horizsys>
<planar>
<planci>
<plance Sync="TRUE">row and column</plance>
<coordrep>
<absres Sync="TRUE">30.000000</absres>
<ordres Sync="TRUE">30.000000</ordres>
</coordrep>
</planci>
</planar>
</horizsys>
</spref>
<eainfo>
<detailed Name="VAT_nlcd_2019_land_cover_l48_202">
<enttyp>
<enttypl Sync="TRUE">VAT_nlcd_2019_land_cover_l48_202</enttypl>
<enttypt Sync="TRUE">Table</enttypt>
<enttypc Sync="TRUE">16</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Value</attrlabl>
<attalias Sync="TRUE">Value</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Count</attrlabl>
<attalias Sync="TRUE">Count</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Red</attrlabl>
<attalias Sync="TRUE">Red</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Green</attrlabl>
<attalias Sync="TRUE">Green</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Blue</attrlabl>
<attalias Sync="TRUE">Blue</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Opacity</attrlabl>
<attalias Sync="TRUE">Opacity</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">NLCD_Land_Cover_Class</attrlabl>
<attalias Sync="TRUE">NLCD_Land_Cover_Class</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20210831</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
