<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20190702</CreaDate>
<CreaTime>11464400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20190702" Time="114644" ToolSource="c:\program files (x86)\arcgis\desktop10.6\ArcToolbox\Toolboxes\Spatial Analyst Tools.tbx\ReclassByTable">ReclassByTable LU_Soil_Slope.tif "C:\Projects\Auckland\Final\HRU Layers\_HRU_Mapping_July2\HRU_key.csv" Value Value NewVal "C:\Projects\Auckland\Final\HRU Layers\_HRU_Mapping_July2\Merge_to_HRU\LU_Soil_Slope_Reclassify_v2.tif" DATA</Process>
<Process Date="20220316" Time="105734" ToolSource="c:\program files\arcgispro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Clip">Clip LU_Soil_Slope_Reclassify_v2.tif "1704081.4005 5871370.586 1828988.768 6008841.591" "U:\COO\IES\STW\SW OP WP\10 Projects 2020-21\300 WQTR\020 Puhinui WQ WSP\5 Technical\New File Geodatabase.gdb\LU_SoilSlope_Reclassify_Puhinui" "Consolidated Stormwater Catchment" -1 NONE NO_MAINTAIN_EXTENT</Process>
<Process Date="20220519" Time="133219" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Clip">Clip LU_SoilSlope_Reclassify_Puhinui "1762813.4163 5898378.7072 1772577.6517 5906186.4832" "C:\Users\mma193\Documents\ArcGIS\Projects\Puhinui WQ\Puhinui WQ.gdb\LU_SoilSlope_Reclassify_Clip" Puhinui_Catchment_Boundary -1 ClippingGeometry NO_MAINTAIN_EXTENT</Process>
</lineage>
<itemProps>
<itemName Sync="TRUE">LU_SoilSlope_Reclassify_Clip</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">1762812.330700</westBL>
<eastBL Sync="TRUE">1772578.330700</eastBL>
<southBL Sync="TRUE">5898378.888100</southBL>
<northBL Sync="TRUE">5906186.888100</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<itemLocation>
<linkage Sync="TRUE">file://\\AUPC2639\C$\Users\mma193\Documents\ArcGIS\Projects\Puhinui WQ\Puhinui WQ.gdb</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_NZGD_2000</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">NZGD_2000_New_Zealand_Transverse_Mercator</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/2.9.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NZGD_2000_New_Zealand_Transverse_Mercator&amp;quot;,GEOGCS[&amp;quot;GCS_NZGD_2000&amp;quot;,DATUM[&amp;quot;D_NZGD_2000&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;,1600000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,10000000.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,173.0],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;,2193]]&lt;/WKT&gt;&lt;XOrigin&gt;-4020900&lt;/XOrigin&gt;&lt;YOrigin&gt;1900&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;2193&lt;/WKID&gt;&lt;LatestWKID&gt;2193&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20220519</SyncDate>
<SyncTime>13321900</SyncTime>
<ModDate>20220519</ModDate>
<ModTime>13321900</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 19044) ; Esri ArcGIS 12.9.2.32739</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="NZL"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">Puhinui LU Soil Slope Classification</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="011"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="002"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">174.829191</westBL>
<eastBL Sync="TRUE">174.940645</eastBL>
<northBL Sync="TRUE">-36.974616</northBL>
<southBL Sync="TRUE">-37.046706</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idAbs/>
<searchKeys>
<keyword>puhinui</keyword>
<keyword>land use</keyword>
<keyword>soil</keyword>
<keyword>slope</keyword>
</searchKeys>
<idPurp>HRU classification raster provided by Auckland Council with accompanying spreadsheet as a basis for contaminant loading calculations.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="NZL"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Raster Dataset</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="2193"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.15(9.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spdoinfo>
<rastinfo>
<rasttype Sync="TRUE">Pixel</rasttype>
<rowcount Sync="TRUE">3904</rowcount>
<colcount Sync="TRUE">4883</colcount>
<rastxsz Sync="TRUE">2.000000</rastxsz>
<rastysz Sync="TRUE">2.000000</rastysz>
<rastbpp Sync="TRUE">16</rastbpp>
<vrtcount Sync="TRUE">1</vrtcount>
<rastorig Sync="TRUE">Upper Left</rastorig>
<rastcmap Sync="TRUE">FALSE</rastcmap>
<rastcomp Sync="TRUE">LZ77</rastcomp>
<rastband Sync="TRUE">1</rastband>
<rastdtyp Sync="TRUE">pixel codes</rastdtyp>
<rastifor Sync="TRUE">FGDBR</rastifor>
<rastplyr Sync="TRUE">TRUE</rastplyr>
</rastinfo>
</spdoinfo>
<spref>
<horizsys>
<planar>
<planci>
<plance Sync="TRUE">row and column</plance>
<coordrep>
<absres Sync="TRUE">2.000000</absres>
<ordres Sync="TRUE">2.000000</ordres>
</coordrep>
</planci>
</planar>
</horizsys>
</spref>
<eainfo>
<detailed Name="VAT_LU_SoilSlope_Reclassify_Clip">
<enttyp>
<enttypl Sync="TRUE">VAT_LU_SoilSlope_Reclassify_Clip</enttypl>
<enttypt Sync="TRUE">Table</enttypt>
<enttypc Sync="TRUE">45</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 Sync="TRUE">Value</attrlabl>
<attalias Sync="TRUE">Value</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Count</attrlabl>
<attalias Sync="TRUE">Count</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20220519</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
