<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20200728</CreaDate>
<CreaTime>15513100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20200728" Time="144611" ToolSource="d:\applications\arcgis\desktop\desktop10.7\ArcToolbox\Toolboxes\Data Management Tools.tbx\CreateFishnet">CreateFishnet "C:\Users\SIG\SIG Dropbox\Carbon\3_Projects\C_PC348_WA_TNC WRRP\2_Development\Geospatial Data\PlotGrid\PC348_TNCWA_AOI_shift_fishnet584.shp" "389620.224496803 5130281.54317015" "389620.224496803 5130291.54317015" 584 584 # # "438474.320715856 5300996.41872211" LABELS "389620.224496803 5130281.54317015 438474.320715856 5300996.41872211" POLYLINE</Process>
<Process Date="20200728" Time="144636" ToolSource="d:\applications\arcgis\desktop\desktop10.7\ArcToolbox\Toolboxes\Analysis Tools.tbx\Clip">Clip PC348_TNCWA_AOI_shift_fishnet584_label Project_Area_20200723 "C:\Users\SIG\SIG Dropbox\Carbon\3_Projects\C_PC348_WA_TNC WRRP\2_Development\Geospatial Data\PlotGrid\PC348_TNCWA_AOI_shift_fishnet584_clip.shp" #</Process>
<Process Date="20200728" Time="154545" ToolSource="d:\applications\arcgis\desktop\desktop10.7\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField PC348_TNCWA_AOI_shift_fishnet584_clip PlotID [FID]+1 VB #</Process>
<Process Date="20200728" Time="154806" ToolSource="d:\applications\arcgis\desktop\desktop10.7\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField PC348_TNCWA_AOI_shift_fishnet584_clip Project "Washington Rainforest Renewal Project" VB #</Process>
<Process Date="20200728" Time="154852" ToolSource="d:\applications\arcgis\desktop\desktop10.7\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField PC348_TNCWA_AOI_shift_fishnet584_clip Partner "The Nature Conservancy, Washington (TNC-WA)" VB #</Process>
<Process Date="20200728" Time="154917" ToolSource="d:\applications\arcgis\desktop\desktop10.7\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField PC348_TNCWA_AOI_shift_fishnet584_clip Partner "The Nature Conservancy, Washington (TNC-WA) &amp; Spatial Informatics Group (SIG)" VB #</Process>
</lineage>
<itemProps>
<itemName Sync="TRUE">PC348_TNCWA_AOI_shift_fishnet584_clip</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<itemSize Sync="TRUE">0.000</itemSize>
<itemLocation>
<linkage Sync="TRUE">file://\\LAPTOP-NCHV6N2F\C$\Users\SIG\SIG Dropbox\Carbon\3_Projects\C_PC348_WA_TNC WRRP\2_Development\Geospatial Data\PlotGrid\PC348_TNCWA_AOI_shift_fishnet584_clip.shp</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">NAD_1983_UTM_Zone_10N</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/10.7'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_UTM_Zone_10N&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;Transverse_Mercator&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,500000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-123.0],PARAMETER[&amp;quot;Scale_Factor&amp;quot;,0.9996],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,26910]]&lt;/WKT&gt;&lt;XOrigin&gt;-5120900&lt;/XOrigin&gt;&lt;YOrigin&gt;-9998100&lt;/YOrigin&gt;&lt;XYScale&gt;450445547.3910538&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;26910&lt;/WKID&gt;&lt;LatestWKID&gt;26910&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20200728</SyncDate>
<SyncTime>14462900</SyncTime>
<ModDate>20200728</ModDate>
<ModTime>14462900</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE"> Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.0.10450</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">TNC_WA_RainforestRenewal_CarbonPlots_20200728</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<idAbs/>
<searchKeys>
<keyword>WA</keyword>
</searchKeys>
<idPurp>TNC WA plots</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdChar>
<CharSetCd Sync="TRUE" value="004"/>
</mdChar>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Shapefile</formatName>
</distFormat>
<distTranOps>
<transSize Sync="TRUE">0.000</transSize>
</distTranOps>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="26910"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">7.8.2(3.0.1)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="PC348_TNCWA_AOI_shift_fishnet584_clip">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="004"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="PC348_TNCWA_AOI_shift_fishnet584_clip">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="1"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">FALSE</spindex>
<linrefer Sync="TRUE">TRUE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="PC348_TNCWA_AOI_shift_fishnet584_clip">
<enttyp>
<enttypl Sync="TRUE">PC348_TNCWA_AOI_shift_fishnet584_clip</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">FID</attrlabl>
<attalias Sync="TRUE">FID</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">Shape</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Id</attrlabl>
<attalias Sync="TRUE">Id</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">6</attwidth>
<atprecis Sync="TRUE">6</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20200728</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
