<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata>
<idinfo>
<citation>
<citeinfo>
<origin>LSA Associates, Inc.</origin>
<pubdate>2006</pubdate>
<title Sync="TRUE">NaturalCommunities_from_VegCover_quarry</title>
<geoform Sync="TRUE">vector digital data</geoform>
<onlink>\\RIC07\IMAGES\SCD0601\GIS\Shapefiles\Metadata Template Shapefile.shp</onlink>
<ftname Sync="TRUE">NaturalCommunities_from_VegCover_quarry</ftname>
</citeinfo>
</citation>
<descript>
<abstract>A union of the vegetation data for the Solano County HCP with a shapefile that divides the Inner Coast Range and the Vernal Pool/Valley Floor Grassland Natural Communities. Grasslands were then assigned the value of being "upland" or "valley floor" depending on which natural community they fell into.</abstract>
<purpose>Prepared for the Solano HCP (Solano County Water Agency).</purpose>
<supplinf>LSA Project Numbers SCD930, SCD430 and SCD0601.</supplinf>
<langdata Sync="TRUE">en</langdata>
</descript>
<timeperd>
<timeinfo>
<sngdate>
<caldate>2006</caldate>
</sngdate>
</timeinfo>
<current>publication date</current>
</timeperd>
<status>
<progress>In work</progress>
<update>As needed</update>
</status>
<spdom>
<bounding>
<westbc Sync="TRUE">-122.409272</westbc>
<eastbc Sync="TRUE">-121.591880</eastbc>
<northbc Sync="TRUE">38.540656</northbc>
<southbc Sync="TRUE">38.031572</southbc>
</bounding>
<lboundng>
<leftbc Sync="TRUE">6444604.290051</leftbc>
<rightbc Sync="TRUE">6678399.372657</rightbc>
<bottombc Sync="TRUE">1773578.775011</bottombc>
<topbc Sync="TRUE">1958717.042529</topbc>
</lboundng>
</spdom>
<keywords>
<theme>
<themekt>REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords.</themekt>
<themekey>Vegetation</themekey>
<themekey>Cover Types</themekey>
</theme>
</keywords>
<accconst>None.</accconst>
<useconst>None.</useconst>
<ptcontac>
<cntinfo>
<cntorgp>
<cntorg>LSA Associates, Inc.</cntorg>
<cntper>Lori Banister</cntper>
</cntorgp>
<cntpos>GIS Specialist</cntpos>
<cntaddr>
<addrtype>mailing and physical address</addrtype>
<address>157 Park Place</address>
<city>Pt. Richmond</city>
<state>CA</state>
<postal>94801</postal>
<country>USA</country>
</cntaddr>
<cntvoice>(510) 236-6810</cntvoice>
<cntfax>(510) 236-3480</cntfax>
<cntemail>Lori.Banister@LSA-Assoc.com</cntemail>
</cntinfo>
</ptcontac>
<native Sync="TRUE">Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.4000</native>
<natvform Sync="TRUE">Shapefile</natvform>
</idinfo>
<spdoinfo>
<direct Sync="TRUE">Vector</direct>
<ptvctinf>
<esriterm Name="VegetationLandCover_2023">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="VegetationLandCover_2023">
<enttyp>
<enttypl Sync="TRUE">VegetationLandCover_2023</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</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>Shape</attrlabl>
<attrdef>Feature geometry.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrdomv>
<udom>Coordinates defining the features.</udom>
</attrdomv>
<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>
</attr>
<attr>
<attrlabl Sync="TRUE">VEG2015</attrlabl>
<attalias Sync="TRUE">VEG2015</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">30</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Category</attrlabl>
<attalias Sync="TRUE">Category</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Area_ac</attrlabl>
<attalias Sync="TRUE">Area_ac</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">Shape_Length</attrlabl>
<attalias Sync="TRUE">Shape_Length</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Length of feature in internal units.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Area</attrlabl>
<attalias Sync="TRUE">Shape_Area</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Area of feature in internal units squared.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
</detailed>
</eainfo>
<distinfo>
<resdesc>Downloadable Data</resdesc>
<stdorder>
<digform>
<digtinfo>
<transize>0.008</transize>
<dssize Sync="TRUE">0.000</dssize>
</digtinfo>
</digform>
</stdorder>
</distinfo>
<metainfo>
<metd Sync="TRUE">20110705</metd>
<metc>
<cntinfo>
<cntorgp>
<cntorg>LSA Associates, Inc.</cntorg>
<cntper>Lori Banister</cntper>
</cntorgp>
<cntpos>GIS Specialist</cntpos>
<cntaddr>
<addrtype>mailing and physical address</addrtype>
<address>157 Park Place</address>
<city>Pt. Richmond</city>
<state>CA</state>
<postal>94801</postal>
<country>USA</country>
</cntaddr>
<cntvoice>(510) 236-6810</cntvoice>
</cntinfo>
</metc>
<metstdn Sync="TRUE">FGDC Content Standards for Digital Geospatial Metadata</metstdn>
<metstdv Sync="TRUE">FGDC-STD-001-1998</metstdv>
<mettc Sync="TRUE">local time</mettc>
<metac>None.</metac>
<metuc>None.</metuc>
<metextns>
<onlink>http://www.esri.com/metadata/esriprof80.html</onlink>
<metprof>ESRI Metadata Profile</metprof>
</metextns>
<langmeta Sync="TRUE">en</langmeta>
</metainfo>
<Esri>
<CreaDate>20230303</CreaDate>
<CreaTime>13500400</CreaTime>
<SyncOnce>FALSE</SyncOnce>
<SyncDate>20230321</SyncDate>
<SyncTime>17272900</SyncTime>
<ModDate>20230321</ModDate>
<ModTime>17272900</ModTime>
<DataProperties>
<lineage>
<Process Date="20081231" Time="092951" ToolSource="C:\Program Files\ArcGIS\ArcToolbox\Toolboxes\Conversion Tools.tbx\FeatureClassToFeatureClass">FeatureClassToFeatureClass I:\SWG0701\GIS\Shapes\Veg-Cover\VegCover.shp I:\SWG0701\GIS\GeoDB\OpenSpace.gdb\SP2 VegCover # "OBJECTID 'OBJECTID' true true false 9 Long 0 9 ,First,#,I:\SWG0701\GIS\Shapes\Veg-Cover\VegCover.shp,OBJECTID,-1,-1;COVERNAME 'COVERNAME' true true false 50 Text 0 0 ,First,#,I:\SWG0701\GIS\Shapes\Veg-Cover\VegCover.shp,COVERNAME,-1,-1;Veg_Descri 'Veg_Descri' true true false 30 Text 0 0 ,First,#,I:\SWG0701\GIS\Shapes\Veg-Cover\VegCover.shp,Veg_Descri,-1,-1;Shape_Area 'Shape_Area' true true false 19 Double 11 18 ,First,#,I:\SWG0701\GIS\Shapes\Veg-Cover\VegCover.shp,Shape_Area,-1,-1;Acres 'Acres' true true false 19 Double 11 18 ,First,#,I:\SWG0701\GIS\Shapes\Veg-Cover\VegCover.shp,Acres,-1,-1" # I:\SWG0701\GIS\GeoDB\OpenSpace.gdb\SP2\VegCover</Process>
<Process Date="20110705" Time="161757" ToolSource="C:\Program Files\ArcGIS\ArcToolbox\Toolboxes\Analysis Tools.tbx\Union">Union "NaturalCommunities_from_VegCover #;callippe_quarry_edit_20110701 #" "I:\SWG0701\GIS\Shapes\Conservation Strategies\Regional Analysis\Archives\NaturalCommunities_from_VegCover_quarry.shp" ALL # GAPS</Process>
<Process Date="20150325" Time="122223" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 [VegRevised] VB #</Process>
<Process Date="20150325" Time="135136" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150325" Time="135219" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150325" Time="135354" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150325" Time="135716" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Marsh" VB #</Process>
<Process Date="20150325" Time="141004" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150325" Time="141545" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150325" Time="142539" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150325" Time="150637" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150325" Time="151942" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150325" Time="152056" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150325" Time="152827" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Grassland - Valley Floor" VB #</Process>
<Process Date="20150325" Time="161844" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150325" Time="161925" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150325" Time="162306" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150325" Time="162445" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150325" Time="162741" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150325" Time="162920" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150325" Time="163524" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150325" Time="163941" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150325" Time="165015" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150325" Time="165137" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150325" Time="172118" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150325" Time="172309" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150325" Time="172505" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150325" Time="172709" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150325" Time="172905" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150325" Time="174112" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150325" Time="182522" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Grassland - Upland" VB #</Process>
<Process Date="20150325" Time="182836" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover VEG2015 "Developed" VB #</Process>
<Process Date="20150326" Time="112304" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover_2015 NEW "[VEG2015]&lt;&gt; [VegRevised]" VB #</Process>
<Process Date="20150326" Time="114336" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover_2015 NatCom2015 "Agriculture" VB #</Process>
<Process Date="20150326" Time="114539" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover_2015 VEG2015 "Developed" VB #</Process>
<Process Date="20150326" Time="114819" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover_2015 NatCom2015 "Developed" VB #</Process>
<Process Date="20150326" Time="114929" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover_2015 NatCom2015 "Pre-approved Development" VB #</Process>
<Process Date="20150326" Time="115204" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover_2015 VegRevised "" VB #</Process>
<Process Date="20150326" Time="115443" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover_2015 NatCom2015 "Coastal Marsh" VB #</Process>
<Process Date="20150326" Time="115836" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover_2015 NatCom2015 "Riparian, Stream and Freshwater Marsh" VB #</Process>
<Process Date="20150326" Time="121909" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover_2015 NatCom2015 "Inner Coast Range" VB #</Process>
<Process Date="20150326" Time="122020" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover_2015 NatCom2015 "Valley Floor Grassland/Vernal Pool" VB #</Process>
<Process Date="20150326" Time="122134" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover_2015 NatCom2015 "Inner Coast Range" VB #</Process>
<Process Date="20150326" Time="122220" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover_2015 NatCom2015 "Tidal Flats" VB #</Process>
<Process Date="20150326" Time="122242" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover_2015 NatCom2015 "Coastal Marsh" VB #</Process>
<Process Date="20150327" Time="171525" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField NaturalCommunities_from_VegCover_2015 VEG2015 "Developed" VB #</Process>
<Process Date="20210304" Time="164530" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Analysis Tools.tbx\Identity">Identity VegCover "Natural Communities*" I:\SWG1001\GIS\Shapes\LandCover\Working\DevAgreement_ApprovDev_NatCom.shp ALL # NO_RELATIONSHIPS</Process>
<Process Date="20210305" Time="142635" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField DevAgreement_ApprovDev_NatCom Prev [VEG2015] VB #</Process>
<Process Date="20210305" Time="142944" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField DevAgreement_ApprovDev_NatCom VEG2015 "Developed" VB #</Process>
<Process Date="20210305" Time="145219" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField DevAgreement_ApprovDev_NatCom VEG2015 "VFG or VP" VB #</Process>
<Process Date="20210305" Time="170043" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField DevAgreement_ApprovDev_NatCom VEG2015 "Preapproved Development" VB #</Process>
<Process Date="20210305" Time="170103" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField DevAgreement_ApprovDev_NatCom VEG2015 "Preapproved Development?" VB #</Process>
<Process Date="20210311" Time="123116" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField DevAgreement_ApprovDev_NatCom VEG2015 "Grassland - Valley Floor" VB #</Process>
<Process Date="20210311" Time="133848" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\Merge">Merge DevAgreement_ApprovDev_NatCom;PreapproveDev_NatCom I:\SWG1001\GIS\Shapes\LandCover\Working\UpdateVegCover.shp "FID_VEG201 "FID_VEG201" true true false 10 Long 0 10 ,First,#,DevAgreement_ApprovDev_NatCom,FID_VEG201,-1,-1,PreapproveDev_NatCom,FID_VEG201,-1,-1;VEG2015 "VEG2015" true true false 30 Text 0 0 ,First,#,DevAgreement_ApprovDev_NatCom,VEG2015,-1,-1,PreapproveDev_NatCom,VEG2015,-1,-1;NatCom2015 "NatCom2015" true true false 100 Text 0 0 ,First,#,DevAgreement_ApprovDev_NatCom,NatCom2015,-1,-1,PreapproveDev_NatCom,NatCom2015,-1,-1;Area_ac "Area_ac" true true false 19 Double 0 0 ,First,#,DevAgreement_ApprovDev_NatCom,Area_ac,-1,-1,PreapproveDev_NatCom,Area_ac,-1,-1;FID_Natura "FID_Natura" true true false 10 Long 0 10 ,First,#,DevAgreement_ApprovDev_NatCom,FID_Natura,-1,-1,PreapproveDev_NatCom,FID_Natura,-1,-1;OBJECTID "OBJECTID" true true false 10 Long 0 10 ,First,#,DevAgreement_ApprovDev_NatCom,OBJECTID,-1,-1,PreapproveDev_NatCom,OBJECTID,-1,-1;NC_noDevel "NC_noDevel" true true false 50 Text 0 0 ,First,#,DevAgreement_ApprovDev_NatCom,NC_noDevel,-1,-1,PreapproveDev_NatCom,NC_noDevel,-1,-1;Shape_Leng "Shape_Leng" true true false 19 Double 0 0 ,First,#,DevAgreement_ApprovDev_NatCom,Shape_Leng,-1,-1,PreapproveDev_NatCom,Shape_Leng,-1,-1;Shape_Area "Shape_Area" true true false 19 Double 0 0 ,First,#,DevAgreement_ApprovDev_NatCom,Shape_Area,-1,-1,PreapproveDev_NatCom,Shape_Area,-1,-1;area_ac_1 "area_ac_1" true true false 19 Double 0 0 ,First,#,DevAgreement_ApprovDev_NatCom,area_ac_1,-1,-1,PreapproveDev_NatCom,area_ac_1,-1,-1;NatCom "NatCom" true true false 50 Text 0 0 ,First,#,DevAgreement_ApprovDev_NatCom,NatCom,-1,-1,PreapproveDev_NatCom,NatCom,-1,-1;Prev "Prev" true true false 50 Text 0 0 ,First,#,DevAgreement_ApprovDev_NatCom,Prev,-1,-1,PreapproveDev_NatCom,Prev,-1,-1"</Process>
<Process Date="20210311" Time="134350" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\Merge">Merge UpdateVegCover;Veg_minus_reclassified I:\SWG1001\GIS\Shapes\LandCover\VEG2015.shp "VEG2015 "VEG2015" true true false 30 Text 0 0 ,First,#,UpdateVegCover,VEG2015,-1,-1,Veg_minus_reclassified,VEG2015,-1,-1;NatCom2015 "NatCom2015" true true false 100 Text 0 0 ,First,#,UpdateVegCover,NatCom2015,-1,-1,Veg_minus_reclassified,NatCom2015,-1,-1;Area_ac "Area_ac" true true false 19 Double 0 0 ,First,#,UpdateVegCover,Area_ac,-1,-1,Veg_minus_reclassified,Area_ac,-1,-1"</Process>
<Process Date="20210319" Time="125409" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Analysis Tools.tbx\Update">Update VegCover VEG2015 I:\SWG1001\GIS\Shapes\LandCover\VEG2015_update.shp BORDERS #</Process>
<Process Date="20210319" Time="130936" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Analysis Tools.tbx\Identity">Identity VEG2015_update I:\SWG1001\GIS\Shapes\Boundaries\travis_afb_boundary.shp I:\SWG1001\GIS\Shapes\LandCover\VEG2015_PlanArea.shp ALL # NO_RELATIONSHIPS</Process>
<Process Date="20210319" Time="132028" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VEG2015_PlanArea PlanArea "Travis AFB" VB #</Process>
<Process Date="20210319" Time="132044" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VEG2015_PlanArea PlanArea "Plan Area" VB #</Process>
<Process Date="20220324" Time="142802" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "CIMDATA=&lt;CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/2.9.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=\\azcorp04\PTRImages\SWG1001\GIS\Shapes\LandCover&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;Shapefile&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;VEG2015_PlanArea.shp&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" &lt;operationSequence&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Category&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_length&gt;30&lt;/field_length&gt;&lt;field_is_nullable&gt;False&lt;/field_is_nullable&gt;&lt;field_is_required&gt;False&lt;/field_is_required&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
<Process Date="20220324" Time="143026" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VEG2015_PlanArea Category "Existing Development" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20220324" Time="143109" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VEG2015_PlanArea Category !VEG2015! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20220324" Time="143145" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VEG2015_PlanArea Category "Existing Development" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20220324" Time="143303" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VEG2015_PlanArea Category !VEG2015! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20220324" Time="143341" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VEG2015_PlanArea Category !VEG2015! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20220324" Time="143359" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VEG2015_PlanArea Category !VEG2015! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20220324" Time="143435" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VEG2015_PlanArea Category !VEG2015! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20220324" Time="143456" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VEG2015_PlanArea Category !VEG2015! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20220324" Time="143508" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VEG2015_PlanArea Category !VEG2015! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20220324" Time="143538" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VEG2015_PlanArea Category !VEG2015! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20220324" Time="143612" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VEG2015_PlanArea Category !VEG2015! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20220324" Time="143626" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VEG2015_PlanArea Category !VEG2015! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20220324" Time="143638" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VEG2015_PlanArea Category !VEG2015! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20220324" Time="143654" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VEG2015_PlanArea Category !VEG2015! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20220324" Time="144026" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VEG2015_PlanArea Category !VEG2015! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20220324" Time="144518" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\MultipartToSinglepart">MultipartToSinglepart VEG2015_PlanArea \\azcorp04\PTRImages\SWG1001\GIS\GeoDB\Geobrowser_working.gdb\VEG2015_PlanArea_Exploded</Process>
<Process Date="20220324" Time="150607" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VEG2015_PlanArea_Exploded "Area_ac AREA" # Acres PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20220408" Time="134706" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VEG2015_PlanArea_Exploded "Area_ac AREA" # Acres PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20220408" Time="135826" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VEG2015_PlanArea_Exploded "Area_ac AREA" # Acres PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20220408" Time="144646" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Eliminate">Eliminate VEG2015_PlanArea_Exploded \\azcorp04\PTRImages\SWG1001\GIS\GeoDB\Geobrowser_working.gdb\VEG2015_PlanArea_Exploded_MMU_hundredthOfAnAc LENGTH # #</Process>
<Process Date="20220408" Time="145617" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VEG2015_PlanArea_Exploded_MMU_hundredthOfAnAc "Area_ac AREA" # Acres PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20220408" Time="191820" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Append">Append PlanAreaCopy_Erase_Multipart VEG2015_PlanArea_Exploded_MMU_hundredthOfAnAc "Use the field map to reconcile field differences" "FID_VEG201 "FID_VEG201" true true false 4 Long 0 0,First,#;VEG2015 "VEG2015" true true false 30 Text 0 0,First,#,PlanAreaCopy_Erase_Multipart,Plan,0,5;NatCom2015 "NatCom2015" true true false 100 Text 0 0,First,#;Area_ac "Area_ac" true true false 8 Double 0 0,First,#,\\azcorp04\PTRImages\SWG1001\GIS\GeoDB\Geobrowser_working.gdb\PlanAreaCopy_Erase_Multipart,Area_ac,-1,-1;FID_travis "FID_travis" true true false 4 Long 0 0,First,#;Id "Id" true true false 4 Long 0 0,First,#;Acres "Acres" true true false 8 Double 0 0,First,#;PlanArea "PlanArea" true true false 50 Text 0 0,First,#;Category "Category" true true false 30 Text 0 0,First,#;ORIG_FID "ORIG_FID" true true false 4 Long 0 0,First,#,\\azcorp04\PTRImages\SWG1001\GIS\GeoDB\Geobrowser_working.gdb\PlanAreaCopy_Erase_Multipart,ORIG_FID,-1,-1" # #</Process>
<Process Date="20220408" Time="192135" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Eliminate">Eliminate VEG2015_PlanArea_Exploded_MMU_hundredthOfAnAc \\azcorp04\PTRImages\SWG1001\GIS\GeoDB\Geobrowser_working.gdb\VEG2015_PlanArea_Cleaned LENGTH # #</Process>
<Process Date="20220408" Time="193250" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Eliminate">Eliminate VEG2015_PlanArea_Cleaned \\azcorp04\PTRImages\SWG1001\GIS\GeoDB\Geobrowser_working.gdb\VEG2015_PlanArea_Clean LENGTH # #</Process>
<Process Date="20220408" Time="193815" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VEG2015_PlanArea_Clean "Area_ac AREA" # Acres PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20220427" Time="154550" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VEG2015_PlanArea_Clean "Area_ac AREA" # Acres PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20220427" Time="163830" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VEG2015_PlanArea_Clean "Area_ac AREA" # Acres PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20220428" Time="090750" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Eliminate">Eliminate VEG2015_PlanArea_Clean \\azcorp04\PTRImages\SWG1001\GIS\GeoDB\Geobrowser_working.gdb\VEG2015_PlanArea_Clean_20220428 LENGTH # #</Process>
<Process Date="20220428" Time="093341" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VEG2015_PlanArea_Clean_20220428 "Area_ac AREA" # Acres PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20220429" Time="134651" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VEG2015_PlanArea_Clean_20220428 NatCom2015 "Riparian, Stream and Freshwater Marsh" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20220429" Time="142207" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\FeatureClassToFeatureClass">FeatureClassToFeatureClass VEG2015_PlanArea_Clean_20220428 \\azcorp04\PTRImages\SWG1001\GIS\GeoDB\Geobrowser_master.gdb VegLandCover2015_singlepart # "FID_VEG201 "FID_VEG201" true true false 4 Long 0 0,First,#,VEG2015_PlanArea_Clean_20220428,FID_VEG201,-1,-1;VEG2015 "VEG2015" true true false 30 Text 0 0,First,#,VEG2015_PlanArea_Clean_20220428,VEG2015,0,30;NatCom2015 "NatCom2015" true true false 100 Text 0 0,First,#,VEG2015_PlanArea_Clean_20220428,NatCom2015,0,100;Area_ac "Area_ac" true true false 8 Double 0 0,First,#,VEG2015_PlanArea_Clean_20220428,Area_ac,-1,-1;FID_travis "FID_travis" true true false 4 Long 0 0,First,#,VEG2015_PlanArea_Clean_20220428,FID_travis,-1,-1;Id "Id" true true false 4 Long 0 0,First,#,VEG2015_PlanArea_Clean_20220428,Id,-1,-1;Acres "Acres" true true false 8 Double 0 0,First,#,VEG2015_PlanArea_Clean_20220428,Acres,-1,-1;PlanArea "PlanArea" true true false 50 Text 0 0,First,#,VEG2015_PlanArea_Clean_20220428,PlanArea,0,50;Category "Category" true true false 30 Text 0 0,First,#,VEG2015_PlanArea_Clean_20220428,Category,0,30;ORIG_FID "ORIG_FID" true true false 4 Long 0 0,First,#,VEG2015_PlanArea_Clean_20220428,ORIG_FID,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,VEG2015_PlanArea_Clean_20220428,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,VEG2015_PlanArea_Clean_20220428,Shape_Area,-1,-1" #</Process>
<Process Date="20220617" Time="164640" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VegLandCover2015_singlepart "Area_ac AREA" # Acres PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20221230" Time="110941" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\DeleteField">DeleteField VegLandCover2015_singlepart Acres "Delete Fields"</Process>
<Process Date="20221230" Time="111457" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "CIMDATA=&lt;CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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;WorkspaceConnectionString&gt;DATABASE=I:\SWG1001\GIS\GeoDB\Geobrowser_master.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;VegLandCover2015_singlepart&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" &lt;operationSequence&gt;&lt;workflow&gt;&lt;DeleteField&gt;&lt;field_name&gt;FID_travis&lt;/field_name&gt;&lt;field_name&gt;Id&lt;/field_name&gt;&lt;field_name&gt;PlanArea&lt;/field_name&gt;&lt;field_name&gt;ORIG_FID&lt;/field_name&gt;&lt;/DeleteField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
<Process Date="20221230" Time="112000" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VegLandCover2015_singlepart "Area_ac AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20221230" Time="113226" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VegLandCover2015_singlepart "Area_ac AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20230224" Time="142451" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\ExportFeatures">ExportFeatures VegLandCover2015_singlepart J:\SWG1001\GIS\GDB\SHCP_PublishedLayers.gdb\VegetationLandCover_2015 # NOT_USE_ALIAS "FID_VEG201 "FID_VEG201" true true false 4 Long 0 0,First,#,VegLandCover2015_singlepart,FID_VEG201,-1,-1;VEG2015 "VEG2015" true true false 30 Text 0 0,First,#,VegLandCover2015_singlepart,VEG2015,0,30;NatCom2015 "NatCom2015" true true false 100 Text 0 0,First,#,VegLandCover2015_singlepart,NatCom2015,0,100;Area_ac "Area_ac" true true false 8 Double 0 0,First,#,VegLandCover2015_singlepart,Area_ac,-1,-1;Category "Category" true true false 30 Text 0 0,First,#,VegLandCover2015_singlepart,Category,0,30;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,VegLandCover2015_singlepart,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,VegLandCover2015_singlepart,Shape_Area,-1,-1" #</Process>
<Process Date="20230303" Time="135007" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\Toolboxes\Data Management Tools.tbx\CopyMultiple">CopyMultiple "J:\SWG1001\GIS\Geobrowser\GDB\SHCP_PublishedLayers.gdb\VegetationLandCover_2015 FeatureClass" "J:\SWG1001\GIS\Geobrowser\Pro\SWG1001 Vegetation and Land Cover Mapping\SWG1001 Vegetation and Land Cover Mapping.gdb" VegetationLandCover_2015 "VegetationLandCover_2015 FeatureClass VegetationLandCover_2015 #"</Process>
<Process Date="20230315" Time="121024" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Analysis Tools.tbx\Update">Update VegetationLandCover_2015 "Edge_of_Pavement_2023\Edge of Pavement 2023" "J:\SWG1001\GIS\Geobrowser\Pro\SWG1001 Vegetation and Land Cover Mapping\SWG1001 Vegetation and Land Cover Mapping.gdb\VegetationLandCover_2_Update_EdgeOfPavement2023" BORDERS #</Process>
<Process Date="20230315" Time="122448" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "CIMDATA=&lt;CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/3.1.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=J:\SWG1001\GIS\Geobrowser\Pro\SWG1001 Vegetation and Land Cover Mapping\SWG1001 Vegetation and Land Cover Mapping.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;VegetationLandCover_2_Update_EdgeOfPavement2023&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" &lt;operationSequence&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Notes&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_length&gt;255&lt;/field_length&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;field_is_required&gt;False&lt;/field_is_required&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
<Process Date="20230315" Time="123732" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2_Update_EdgeOfPavement2023 Category "Existing Development" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230315" Time="123755" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2_Update_EdgeOfPavement2023 VEG2015 "Developed" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230315" Time="123830" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2_Update_EdgeOfPavement2023 Notes ""From Solano County's Edge_of_Pavement_2023 feature service."" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230315" Time="124030" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Analysis Tools.tbx\Update">Update VegetationLandCover_2_Update_EdgeOfPavement2023 "Parking_Lots_2023\Parking Lots 2023" "J:\SWG1001\GIS\Geobrowser\Pro\SWG1001 Vegetation and Land Cover Mapping\SWG1001 Vegetation and Land Cover Mapping.gdb\VegetationLandCover_2_Update_ParkingLots" BORDERS #</Process>
<Process Date="20230315" Time="124308" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2_Update_ParkingLots VEG2015 "Developed" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230315" Time="124331" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2_Update_ParkingLots Category "Existing Development" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230315" Time="124412" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2_Update_ParkingLots Notes ""From Solano County's Parking_Lots_2023 feature service."" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230315" Time="124751" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Analysis Tools.tbx\Update">Update VegetationLandCover_2_Update_ParkingLots "Building_Outlines_2023\Building Outlines 2023" "J:\SWG1001\GIS\Geobrowser\Pro\SWG1001 Vegetation and Land Cover Mapping\SWG1001 Vegetation and Land Cover Mapping.gdb\VegetationLandCover_2_Update_BuildingOutlines" BORDERS #</Process>
<Process Date="20230315" Time="125106" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2_Update_BuildingOutlines VEG2015 "Developed" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230315" Time="125141" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2_Update_BuildingOutlines Category "Existing Development" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230315" Time="125257" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2_Update_BuildingOutlines Notes ""From Solano County's Building_Outlines_2023 feature service."" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230315" Time="132604" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Dissolve">Dissolve VegetationLandCover_2_Update_BuildingOutlines "J:\SWG1001\GIS\Geobrowser\Pro\SWG1001 Vegetation and Land Cover Mapping\SWG1001 Vegetation and Land Cover Mapping.gdb\VegetationLandCover_2023" VEG2015 "Area_ac SUM;Category FIRST;Notes FIRST" SINGLE_PART DISSOLVE_LINES #</Process>
<Process Date="20230315" Time="140619" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VegetationLandCover_2023 "SUM_Area_ac AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20230316" Time="084003" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Analysis Tools.tbx\Clip">Clip VegetationLandCover_2023 J:\SWG1001\GIS\Geobrowser\GDB\SHCP_PublishedLayers.gdb\PlanBoundary "J:\SWG1001\GIS\Geobrowser\Pro\SWG1001 Vegetation and Land Cover Mapping\SWG1001 Vegetation and Land Cover Mapping.gdb\VegetationLandCover_2023_Clip" #</Process>
<Process Date="20230316" Time="090808" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Append">Append Developed_Merge_Update_Clip VegetationLandCover_2023_Clip "Use the field map to reconcile field differences" "VEG2015 "VEG2015" true true false 30 Text 0 0,First,#,Developed_Merge_Update_Clip,FIRST_VEG2015,0,30;SUM_Area_ac "SUM_Area_ac" true true false 8 Double 0 0,First,#,J:\SWG1001\GIS\Geobrowser\Pro\SWG1001 Vegetation and Land Cover Mapping\SWG1001 Vegetation and Land Cover Mapping.gdb\Developed_Merge_Update_Clip,SUM_Area_ac,-1,-1;FIRST_Category "FIRST_Category" true true false 30 Text 0 0,First,#,Developed_Merge_Update_Clip,Category,0,30;FIRST_Notes "FIRST_Notes" true true false 255 Text 0 0,First,#,J:\SWG1001\GIS\Geobrowser\Pro\SWG1001 Vegetation and Land Cover Mapping\SWG1001 Vegetation and Land Cover Mapping.gdb\Developed_Merge_Update_Clip,FIRST_Notes,0,255" # # # NOT_UPDATE_GEOMETRY</Process>
<Process Date="20230317" Time="123408" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2023_Clip VEG2015 "Developed" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230317" Time="123431" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2023_Clip FIRST_Category "Existing Development" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230317" Time="124217" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2023_Clip FIRST_Category "Existing Development" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230317" Time="124242" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2023_Clip VEG2015 "Developed" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230317" Time="131434" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Analysis Tools.tbx\Update">Update VegetationLandCover_2023_Clip "Edge_of_Pavement_2023\Edge of Pavement 2023" "J:\SWG1001\GIS\Geobrowser\Pro\SWG1001 Vegetation and Land Cover Mapping\SWG1001 Vegetation and Land Cover Mapping.gdb\VegetationLandCover_2023_Update" BORDERS #</Process>
<Process Date="20230317" Time="131853" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2023_Update VEG2015 "Developed" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230317" Time="131921" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2023_Update FIRST_Category "Existing Development" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230317" Time="152000" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2023_Update FIRST_Category "Existing Development" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230317" Time="152043" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2023_Update FIRST_Notes "From Solano County Edge_of_Pavement layer" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230317" Time="152112" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2023_Update VEG2015 "Developed" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230317" Time="155335" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Analysis Tools.tbx\Clip">Clip VegetationLandCover_2023_Update J:\SWG1001\GIS\Geobrowser\GDB\SHCP_PublishedLayers.gdb\PlanBoundary "J:\SWG1001\GIS\Geobrowser\Pro\SWG1001 Vegetation and Land Cover Mapping\SWG1001 Vegetation and Land Cover Mapping.gdb\VegetationLandCover_2023_Clip" #</Process>
<Process Date="20230317" Time="160225" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Dissolve">Dissolve VegetationLandCover_2023_Clip "J:\SWG1001\GIS\Geobrowser\Pro\SWG1001 Vegetation and Land Cover Mapping\SWG1001 Vegetation and Land Cover Mapping.gdb\VegetationLandCover_2023_Dissolve" VEG2015 "FIRST_Category MAX;FIRST_Notes MAX;SUM_Area_ac SUM" SINGLE_PART DISSOLVE_LINES #</Process>
<Process Date="20230317" Time="160325" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VegetationLandCover_2023_Dissolve "SUM_SUM_Area_ac AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20230317" Time="160434" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2023_Dissolve MAX_FIRST_Category "Agriculture" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230317" Time="160457" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2023_Dissolve MAX_FIRST_Category "Existing Development" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230317" Time="160513" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2023_Dissolve MAX_FIRST_Category "Existing Development" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230317" Time="160550" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2023_Dissolve MAX_FIRST_Category "Existing Development" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230317" Time="161532" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2023_Dissolve MAX_FIRST_Category "Grassland - Upland" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230320" Time="091345" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VegetationLandCover_2023_Dissolve "SUM_SUM_Area_ac AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20230320" Time="142131" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Dissolve">Dissolve VegetationLandCover_2023_Dissolve "J:\SWG1001\GIS\Geobrowser\Pro\SWG1001 Vegetation and Land Cover Mapping\SWG1001 Vegetation and Land Cover Mapping.gdb\VegetationLandCover_2023" VEG2015 "MAX_FIRST_Category FIRST;SUM_SUM_Area_ac SUM" SINGLE_PART DISSOLVE_LINES #</Process>
<Process Date="20230320" Time="142659" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VegetationLandCover_2023 "SUM_SUM_SUM_Area_ac AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20230320" Time="154018" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2023 FIRST_MAX_FIRST_Category "Existing Development" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230321" Time="084933" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "CIMDATA=&lt;CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/3.1.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=J:\SWG1001\GIS\Geobrowser\Pro\SWG1001 Vegetation and Land Cover Mapping\SWG1001 Vegetation and Land Cover Mapping.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;VegetationLandCover_2023&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" &lt;operationSequence&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Category&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_length&gt;255&lt;/field_length&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;field_is_required&gt;False&lt;/field_is_required&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Area_ac&lt;/field_name&gt;&lt;field_type&gt;DOUBLE&lt;/field_type&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;field_is_required&gt;False&lt;/field_is_required&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
<Process Date="20230321" Time="085823" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2023 Category !FIRST_MAX_FIRST_Category! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230321" Time="085841" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField VegetationLandCover_2023 Category !FIRST_MAX_FIRST_Category! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230321" Time="090023" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VegetationLandCover_2023 "Area_ac AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20230321" Time="090047" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\DeleteField">DeleteField VegetationLandCover_2023 FIRST_MAX_FIRST_Category "Delete Fields"</Process>
<Process Date="20230321" Time="090059" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\DeleteField">DeleteField VegetationLandCover_2023 SUM_SUM_SUM_Area_ac "Delete Fields"</Process>
<Process Date="20230321" Time="090808" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Append">Append PlanBoundary_Erase_notDeveloped VegetationLandCover_2023 "Use the field map to reconcile field differences" "VEG2015 "VEG2015" true true false 30 Text 0 0,First,#;Category "Category" true true false 255 Text 0 0,First,#;Area_ac "Area_ac" true true false 8 Double 0 0,First,#,J:\SWG1001\GIS\Geobrowser\Pro\SWG1001 Vegetation and Land Cover Mapping\SWG1001 Vegetation and Land Cover Mapping.gdb\PlanBoundary_Erase_notDeveloped,Area_ac,-1,-1" # # # NOT_UPDATE_GEOMETRY</Process>
<Process Date="20230321" Time="091318" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VegetationLandCover_2023 "Area_ac AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20230321" Time="172731" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\ExportFeatures">ExportFeatures VegetationLandCover_2023 J:\SWG1001\GIS\Geobrowser\GDB\SHCP_PublishedLayers.gdb\VegetationLandCover_2023 # NOT_USE_ALIAS "VEG2015 "VEG2015" true true false 30 Text 0 0,First,#,VegetationLandCover_2023,VEG2015,0,30;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,VegetationLandCover_2023,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,VegetationLandCover_2023,Shape_Area,-1,-1;Category "Category" true true false 255 Text 0 0,First,#,VegetationLandCover_2023,Category,0,255;Area_ac "Area_ac" true true false 8 Double 0 0,First,#,VegetationLandCover_2023,Area_ac,-1,-1" #</Process>
<Process Date="20230322" Time="145300" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VegetationLandCover_2023 "Area_ac AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20230405" Time="164033" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VegetationLandCover_2023 "Area_ac AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20230414" Time="143052" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VegetationLandCover_2023 "Area_ac AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20230420" Time="142621" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Append">Append Veg_Eliminate_9sqft VegetationLandCover_2023 "Use the field map to reconcile field differences" "VEG2015 "VEG2015" true true false 30 Text 0 0,First,#,J:\SWG1001\GIS\Geobrowser\GDB\Working.gdb\Veg_Eliminate_9sqft,VEG2015,0,30;Category "Category" true true false 255 Text 0 0,First,#,J:\SWG1001\GIS\Geobrowser\GDB\Working.gdb\Veg_Eliminate_9sqft,Category,0,255;Area_ac "Area_ac" true true false 8 Double 0 0,First,#,J:\SWG1001\GIS\Geobrowser\GDB\Working.gdb\Veg_Eliminate_9sqft,Area_ac,-1,-1" # # # NOT_UPDATE_GEOMETRY</Process>
<Process Date="20230421" Time="094449" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VegetationLandCover_2023 "Area_ac AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20230421" Time="100334" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VegetationLandCover_2023 "Area_ac AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20230421" Time="100815" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VegetationLandCover_2023 "Area_ac AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20230421" Time="175458" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VegetationLandCover_2023 "Area_ac AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20230421" Time="175624" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VegetationLandCover_2023 "Area_ac AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20230422" Time="161622" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes "Vegetation and Land Cover" "Area_ac AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
<Process Date="20230926" Time="135908" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "CIMDATA=&lt;CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/3.1.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=J:\SWG1001\GIS\Geobrowser\GDB\SHCP_PublishedLayers.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;VegetationLandCover_2023&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" "&lt;operationSequence&gt;&lt;workflow&gt;&lt;AddGlobalIDs /&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;EnableEditorTracking&gt;&lt;creator_field&gt;created_user&lt;/creator_field&gt;&lt;creation_date_field&gt;created_date&lt;/creation_date_field&gt;&lt;last_editor_field&gt;last_edited_user&lt;/last_editor_field&gt;&lt;last_edit_date_field&gt;last_edited_date&lt;/last_edit_date_field&gt;&lt;add_fields&gt;TRUE&lt;/add_fields&gt;&lt;record_dates_in&gt;UTC&lt;/record_dates_in&gt;&lt;/EnableEditorTracking&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;"</Process>
<Process Date="20231214" Time="101432" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes VegetationLandCover_2023 "Area_ac AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192]] "Same as input"</Process>
</lineage>
<itemProps>
<itemLocation>
<linkage Sync="TRUE">file://\\GISNetApp-8daf.lsacorp.internal\GIS-Prod\SWG1001\GIS\Geobrowser\GDB\SHCP_PublishedLayers.gdb</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
<itemName Sync="TRUE">VegetationLandCover_2023</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<itemSize Sync="TRUE">0.000</itemSize>
</itemProps>
<copyHistory>
<copy date="20150406" dest="\\ptr11\images\SWG1001\GIS\Shapes\LandCover\VEG2015" source="I:\SWG1001\GIS\Shapes\Conservation_Strategies\Regional_Analysis\VEG2015" time="16085100"/>
</copyHistory>
<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_California_II_FIPS_0402_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/3.1.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_StatePlane_California_II_FIPS_0402_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;,6561666.666666666],PARAMETER[&amp;quot;False_Northing&amp;quot;,1640416.666666667],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-122.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,38.33333333333334],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,39.83333333333334],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,37.66666666666666],UNIT[&amp;quot;Foot_US&amp;quot;,0.3048006096012192],AUTHORITY[&amp;quot;EPSG&amp;quot;,2226]]&lt;/WKT&gt;&lt;XOrigin&gt;-115211800&lt;/XOrigin&gt;&lt;YOrigin&gt;-93821500&lt;/YOrigin&gt;&lt;XYScale&gt;3048.0060960121918&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;102642&lt;/WKID&gt;&lt;LatestWKID&gt;2226&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<ArcGISFormat>1.0</ArcGISFormat>
</Esri>
<dataqual>
<lineage>
<procstep>
<procdesc Sync="TRUE">Metadata imported.</procdesc>
<srcused Sync="TRUE">C:\DOCUME~1\LoriB\LOCALS~1\Temp\xml11C.tmp</srcused>
<date Sync="TRUE">20061229</date>
<time Sync="TRUE">13041100</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="TRUE"/>
<date Sync="TRUE">20071106</date>
<time Sync="TRUE">11082800</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="TRUE">\\PTR08\IMAGES\SWG0701\GIS\GeoDB\OpenSpace.gdb</srcused>
<procdate Sync="TRUE">20090108</procdate>
<proctime Sync="TRUE">09064600</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="TRUE"/>
<procdate Sync="TRUE">20101229</procdate>
<proctime Sync="TRUE">10471700</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="TRUE">I:\SWG0701\GIS\Shapes\Conservation Strategies\Regional Analysis\NaturalCommunities_from_VegCover</srcused>
<procdate Sync="TRUE">20120703</procdate>
<proctime Sync="TRUE">12030200</proctime>
</procstep>
</lineage>
</dataqual>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 19044) ; Esri ArcGIS 13.1.0.41833</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">SHCP Vegetation Land Cover</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="native">
<westBL Sync="TRUE">6444604.290051</westBL>
<eastBL Sync="TRUE">6678399.372657</eastBL>
<northBL Sync="TRUE">1958717.042529</northBL>
<southBL Sync="TRUE">1773578.775011</southBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</GeoBndBox>
</geoEle>
</dataExt>
<geoBox esriExtentType="decdegrees">
<westBL Sync="TRUE">-122.409272</westBL>
<eastBL Sync="TRUE">-121.59188</eastBL>
<northBL Sync="TRUE">38.540656</northBL>
<southBL Sync="TRUE">38.031572</southBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</geoBox>
<idAbs/>
<searchKeys>
<keyword>SHCP</keyword>
<keyword>Vegetation</keyword>
<keyword>Land Cover</keyword>
</searchKeys>
<idPurp>Land cover and vegetation for the Solano HCP, updated in 2023.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdStanName Sync="TRUE">ISO 19115 Geographic Information - Metadata</mdStanName>
<mdStanVer Sync="TRUE">DIS_ESRI1.0</mdStanVer>
<mdChar>
<CharSetCd Sync="TRUE" value="006"/>
</mdChar>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<distInfo>
<distributor>
<distorTran>
<onLineSrc>
<orDesc Sync="TRUE">002</orDesc>
<linkage Sync="TRUE">file://\\PTR08\IMAGES\SWG1001\GIS\Shapes\Conservation_Strategies\Regional_Analysis\NaturalCommunities_from_VegCover</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</onLineSrc>
<transSize Sync="TRUE">0.000</transSize>
</distorTran>
<distorFormat>
<formatName Sync="TRUE">Shapefile</formatName>
</distorFormat>
</distributor>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
</distFormat>
<distTranOps>
<transSize Sync="TRUE">0.000</transSize>
</distTranOps>
</distInfo>
<spref>
<horizsys>
<cordsysn>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<projcsn Sync="TRUE">NAD_1983_StatePlane_California_II_FIPS_0402_Feet</projcsn>
</cordsysn>
<planar>
<planci>
<plance Sync="TRUE">coordinate pair</plance>
<plandu Sync="TRUE">survey feet</plandu>
<coordrep>
<absres Sync="TRUE">0.000000</absres>
<ordres Sync="TRUE">0.000000</ordres>
</coordrep>
</planci>
</planar>
<geodetic>
<horizdn Sync="TRUE">North American Datum of 1983</horizdn>
<ellips Sync="TRUE">Geodetic Reference System 80</ellips>
<semiaxis Sync="TRUE">6378137.000000</semiaxis>
<denflat Sync="TRUE">298.257222</denflat>
</geodetic>
</horizsys>
<vertdef>
<altsys>
<altenc Sync="TRUE">Explicit elevation coordinate included with horizontal coordinates</altenc>
<altres Sync="TRUE">0.000100</altres>
</altsys>
</vertdef>
</spref>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="2226">NAD_1983_StatePlane_California_II_FIPS_0402_Feet</identCode>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">5.3(9.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="VegetationLandCover_2023">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<mdDateSt Sync="TRUE">20230321</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
