<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20221223</CreaDate>
<CreaTime>00203500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20221223" Time="002035" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CopyMultiple">CopyMultiple "C:\projects\pc432_rcd\arcgis\proj_berk_reforest\Berkeley_Reforestation_Moonlight_Fire\Moonlight_Reforestation_Imagery.gdb\Hungry_Creek_Plot_1 RasterDataset;C:\projects\pc432_rcd\arcgis\proj_berk_reforest\Berkeley_Reforestation_Moonlight_Fire\Moonlight_Reforestation_Imagery.gdb\Hungry_Creek_Plot_1_4Combo RasterDataset;C:\projects\pc432_rcd\arcgis\proj_berk_reforest\Berkeley_Reforestation_Moonlight_Fire\Moonlight_Reforestation_Imagery.gdb\Hungry_Creek_Plot_2 RasterDataset;C:\projects\pc432_rcd\arcgis\proj_berk_reforest\Berkeley_Reforestation_Moonlight_Fire\Moonlight_Reforestation_Imagery.gdb\Hungry_Creek_Plot_5 RasterDataset;C:\projects\pc432_rcd\arcgis\proj_berk_reforest\Berkeley_Reforestation_Moonlight_Fire\Moonlight_Reforestation_Imagery.gdb\Hungry_Creek_Plot_6 RasterDataset;C:\projects\pc432_rcd\arcgis\proj_berk_reforest\Berkeley_Reforestation_Moonlight_Fire\Moonlight_Reforestation_Imagery.gdb\Reforestation_Study_Plots FeatureClass" C:\projects\pc432_rcd\arcgis\proj_berk_reforest\Berkeley_Reforestation_Moonlight_Fire\Moonlight_Reforest_Imagery.gdb Hungry_Creek_Plot_1;Hungry_Creek_Plot_1_4Combo;Hungry_Creek_Plot_2;Hungry_Creek_Plot_5;Hungry_Creek_Plot_6;Reforestation_Study_Plots "Hungry_Creek_Plot_1 RasterDataset Hungry_Creek_Plot_1 #;Hungry_Creek_Plot_1_4Combo RasterDataset Hungry_Creek_Plot_1_4Combo #;Hungry_Creek_Plot_2 RasterDataset Hungry_Creek_Plot_2 #;Hungry_Creek_Plot_5 RasterDataset Hungry_Creek_Plot_5 #;Hungry_Creek_Plot_6 RasterDataset Hungry_Creek_Plot_6 #;Reforestation_Study_Plots FeatureClass Reforestation_Study_Plots #"</Process>
<Process Date="20230222" Time="075821" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\ProjectRaster">ProjectRaster C:\projects\pc432_rcd\arcgis\proj_berk_reforest\Berkeley_Reforestation_Moonlight_Fire\Moonlight_Reforest_Imagery.gdb\Hungry_Creek_Plot_1 C:\projects\pc432_rcd\arcgis\proj_berk_reforest\Berkeley_Reforestation_Moonlight_Fire\Moonlight_3857_Reforest_imagery.gdb\Hungry_3857_Creek_Plot_1 PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]] "Bilinear interpolation" "1.58173813366247E-02 1.58479986315566E-02" # # PROJCS["WGS_1984_UTM_Zone_10N",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-123.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]] NO_VERTICAL</Process>
</lineage>
<itemProps>
<itemName Sync="TRUE">Hungry_3857_Creek_Plot_1</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">-13435776.751590</westBL>
<eastBL Sync="TRUE">-13435531.708719</eastBL>
<southBL Sync="TRUE">4893888.000931</southBL>
<northBL Sync="TRUE">4894143.122013</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<itemLocation>
<linkage Sync="TRUE">file://\\LAPTOP-0T2RH73M\C$\projects\pc432_rcd\arcgis\proj_berk_reforest\Berkeley_Reforestation_Moonlight_Fire\Moonlight_3857_Reforest_imagery.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">WGS_1984_Web_Mercator_Auxiliary_Sphere</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/3.0.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&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;Mercator_Auxiliary_Sphere&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;,0.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,0.0],PARAMETER[&amp;quot;Auxiliary_Sphere_Type&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,3857]]&lt;/WKT&gt;&lt;XOrigin&gt;-20037700&lt;/XOrigin&gt;&lt;YOrigin&gt;-30241100&lt;/YOrigin&gt;&lt;XYScale&gt;148923141.92838538&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;WKID&gt;102100&lt;/WKID&gt;&lt;LatestWKID&gt;3857&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20230222</SyncDate>
<SyncTime>07581600</SyncTime>
<ModDate>20230222</ModDate>
<ModTime>07581600</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 19044) ; Esri ArcGIS 13.0.2.36056</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">Hungry_3857_Creek_Plot_1_it3</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">-120.695636</westBL>
<eastBL Sync="TRUE">-120.693435</eastBL>
<northBL Sync="TRUE">40.193788</northBL>
<southBL Sync="TRUE">40.192037</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idAbs/>
<searchKeys>
<keyword>moonlight</keyword>
<keyword>pc448</keyword>
</searchKeys>
<idPurp>Hungry_3857_Creek_Plot_1_it2</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="3857"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.18.3(9.3.1.2)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spdoinfo>
<rastinfo>
<rasttype Sync="TRUE">Pixel</rasttype>
<rowcount Sync="TRUE">16098</rowcount>
<colcount Sync="TRUE">15492</colcount>
<rastxsz Sync="TRUE">0.015817</rastxsz>
<rastysz Sync="TRUE">0.015848</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">FGDBR</rastifor>
<rastplyr Sync="TRUE">TRUE</rastplyr>
</rastinfo>
</spdoinfo>
<spref>
<horizsys>
<planar>
<planci>
<plance Sync="TRUE">row and column</plance>
<coordrep>
<absres Sync="TRUE">0.015817</absres>
<ordres Sync="TRUE">0.015848</ordres>
</coordrep>
</planci>
</planar>
</horizsys>
</spref>
<mdDateSt Sync="TRUE">20230222</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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=</Data>
</Thumbnail>
</Binary>
</metadata>
