<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="es">
<Esri>
<CreaDate>20130911</CreaDate>
<CreaTime>14171500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20130911" Time="141715" ToolSource="c:\program files\arcgis\desktop10.1\ArcToolbox\Toolboxes\Data Management Tools.tbx\CreateRasterDataset">CreateRasterDataset C:\Semarnatg\INEGI\Raster\Dstos_raster_INEGI.gdb CEM2 # 32_BIT_SIGNED # 1 # "PYRAMIDS -1 NEAREST DEFAULT 75 NO_SKIP" "128 128" LZ77 #</Process>
<Process Date="20130911" Time="144612" ToolSource="c:\program files\arcgis\desktop10.1\ArcToolbox\Toolboxes\Data Management Tools.tbx\Mosaic">Mosaic G:\respaldo_Semarnatg\INEGI\CEM\cem C:\Semarnatg\INEGI\Raster\Dstos_raster_INEGI.gdb\CEM LAST FIRST # # NONE 0 NONE</Process>
<Process Date="20130911" Time="145221" ToolSource="c:\program files\arcgis\desktop10.1\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateStatistics">CalculateStatistics C:\Semarnatg\INEGI\Raster\Dstos_raster_INEGI.gdb\CEM 1 1 # OVERWRITE "Feature Set"</Process>
<Process Date="20230713" Time="114035" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\Toolboxes\Data Management Tools.tbx\CopyMultiple">CopyMultiple "D:\ANA\C\Semarnatg\INEGI\Raster\Dstos_raster_INEGI.gdb\CEM RasterDataset" D:\MEDIOS_2023\CEM.gdb CEM "CEM RasterDataset CEM #"</Process>
<Process Date="20250811" Time="095646" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Clip">Clip CEM "3500663.3497 897964.873799995 3994856.6904 1227157.6336" C:\Users\edgar.mejia\Documents\ArcGIS\Projects\Tablas_usos_consuntivos\CEM_Yucatan.gdb\CEM_Yucatan Area_Geoestadistica_Estatal_2020 2147483647 ClippingGeometry NO_MAINTAIN_EXTENT</Process>
</lineage>
<itemProps>
<itemName Sync="TRUE">CEM_Yucatan</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">3500655.822966</westBL>
<eastBL Sync="TRUE">3994866.830658</eastBL>
<southBL Sync="TRUE">897963.365890</southBL>
<northBL Sync="TRUE">1227180.371014</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<itemLocation>
<linkage Sync="TRUE">file://\\410-M-D3-37B3V\C$\Users\edgar.mejia\Documents\ArcGIS\Projects\Tablas_usos_consuntivos\CEM_Yucatan.gdb</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_GRS_1980</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">GRS_1980_Lambert_Conformal_Conic</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/3.4.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;GRS_1980_Lambert_Conformal_Conic&amp;quot;,GEOGCS[&amp;quot;GCS_GRS_1980&amp;quot;,DATUM[&amp;quot;D_GRS_1980&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;,2500000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-102.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,17.5],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,29.5],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,12.0],UNIT[&amp;quot;Meter&amp;quot;,1.0]]&lt;/WKT&gt;&lt;XOrigin&gt;-37031600&lt;/XOrigin&gt;&lt;YOrigin&gt;-25743800&lt;/YOrigin&gt;&lt;XYScale&gt;113924041.20679393&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>
</DataProperties>
<SyncDate>20250811</SyncDate>
<SyncTime>09564500</SyncTime>
<ModDate>20250811</ModDate>
<ModTime>09564500</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.4.0.55405</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="spa"/>
<countryCode Sync="TRUE" value="MEX"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">CEM_Yucatan</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">-92.411905</westBL>
<eastBL Sync="TRUE">-87.382811</eastBL>
<northBL Sync="TRUE">22.761185</northBL>
<southBL Sync="TRUE">19.408439</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idAbs/>
<idPurp/>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="spa"/>
<countryCode Sync="TRUE" value="MEX"/>
</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">11529</rowcount>
<colcount Sync="TRUE">17307</colcount>
<rastxsz Sync="TRUE">28.555556</rastxsz>
<rastysz Sync="TRUE">28.555556</rastysz>
<rastbpp Sync="TRUE">32</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">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">28.555556</absres>
<ordres Sync="TRUE">28.555556</ordres>
</coordrep>
</planci>
</planar>
</horizsys>
</spref>
<mdDateSt Sync="TRUE">20250811</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
