<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20171106</CreaDate>
<CreaTime>17421300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">AERIALS2017</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">2355000.112196</westBL>
<eastBL Sync="TRUE">2421000.112196</eastBL>
<southBL Sync="TRUE">7042000.223512</southBL>
<northBL Sync="TRUE">7084000.223512</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Foot_US (0.304801)</csUnits>
<projcsn Sync="TRUE">NAD_1983_StatePlane_Texas_North_Central_FIPS_4202_Feet</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/10.6'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_StatePlane_Texas_North_Central_FIPS_4202_Feet&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_1983&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,1968500.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,6561666.666666666],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-98.5],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,32.13333333333333],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,33.96666666666667],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,31.66666666666667],UNIT[&amp;quot;Foot_US&amp;quot;,0.3048006096012192],AUTHORITY[&amp;quot;EPSG&amp;quot;,2276]]&lt;/WKT&gt;&lt;XOrigin&gt;-123407700&lt;/XOrigin&gt;&lt;YOrigin&gt;-86123500&lt;/YOrigin&gt;&lt;XYScale&gt;35920690.11000888&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;0.0032808333333333331&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;WKID&gt;102738&lt;/WKID&gt;&lt;LatestWKID&gt;2276&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20191111</SyncDate>
<SyncTime>15061800</SyncTime>
<ModDate>20191111</ModDate>
<ModTime>15061800</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE"> Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9270</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng">
</languageCode>
<countryCode Sync="TRUE" value="USA">
</countryCode>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">AERIALS.DBO.AERIALS2017</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="011">
</PresFormCd>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="002">
</SpatRepTypCd>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-97.239504</westBL>
<eastBL Sync="TRUE">-97.022357</eastBL>
<northBL Sync="TRUE">33.096013</northBL>
<southBL Sync="TRUE">32.978216</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idAbs/>
<idPurp/>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<searchKeys>
<keyword/>
</searchKeys>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng">
</languageCode>
<countryCode Sync="TRUE" value="USA">
</countryCode>
</mdLang>
<mdChar>
<CharSetCd Sync="TRUE" value="004">
</CharSetCd>
</mdChar>
<distInfo>
<distFormat>
<formatName Sync="FALSE">Raster Dataset</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005">
</ScopeCd>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="2276">
</identCode>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">5.3(9.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spdoinfo>
<rastinfo>
<rasttype Sync="TRUE">Pixel</rasttype>
<rowcount Sync="TRUE">84000</rowcount>
<colcount Sync="TRUE">132000</colcount>
<rastxsz Sync="TRUE">0.500000</rastxsz>
<rastysz Sync="TRUE">0.500000</rastysz>
<rastbpp Sync="TRUE">8</rastbpp>
<vrtcount Sync="TRUE">1</vrtcount>
<rastorig Sync="TRUE">Upper Left</rastorig>
<rastcmap Sync="TRUE">FALSE</rastcmap>
<rastcomp Sync="TRUE">LZ77</rastcomp>
<rastband Sync="TRUE">4</rastband>
<rastdtyp Sync="TRUE">pixel codes</rastdtyp>
<rastifor Sync="TRUE">SDR</rastifor>
<rastplyr Sync="TRUE">TRUE</rastplyr>
</rastinfo>
</spdoinfo>
<spref>
<horizsys>
<planar>
<planci>
<plance Sync="TRUE">row and column</plance>
<coordrep>
<absres Sync="TRUE">0.500000</absres>
<ordres Sync="TRUE">0.500000</ordres>
</coordrep>
</planci>
</planar>
</horizsys>
</spref>
<mdDateSt Sync="TRUE">20191111</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
