<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20200910</CreaDate>
<CreaTime>14420000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20200910" Time="144200" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CreateMosaicDataset">CreateMosaicDataset \\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb CropSuitability "PROJCS['NZGD_2000_New_Zealand_Transverse_Mercator',GEOGCS['GCS_NZGD_2000',DATUM['D_NZGD_2000',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',1600000.0],PARAMETER['False_Northing',10000000.0],PARAMETER['Central_Meridian',173.0],PARAMETER['Scale_Factor',0.9996],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]];-4020900 1900 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" # # NONE #</Process>
<Process Date="20200910" Time="144716" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\AddRastersToMosaicDataset">AddRastersToMosaicDataset \\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\CropSuitability "Raster Dataset" \\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\Avocado;\\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\Banana;\\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\Blackwood;\\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\Blueberry;\\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\Cherimoya;\\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\Cupress;\\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\Dougfir;\\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\Eucalyptus;\\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\Feijoa;\\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\Fig;\\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\Gevuina;\\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\Ginseng;\\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\Goldenseal;\\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\Hazelnut;\\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\Hydrangea;\\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\manuka;\\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\MaoriPotato;\\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\Mate;\\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\Passionfruit;\\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\Peanut;\\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\Redwood;\\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\Rootstock;\\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\Saffron;\\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\Truffles;\\bunsen\marinedata\Work\external\MPI\CropSuitabililty\allcrops_nztm.gdb\Valerian UPDATE_CELL_SIZES UPDATE_BOUNDARY NO_OVERVIEWS # 0 1500 # # SUBFOLDERS "Allow duplicates" NO_PYRAMIDS NO_STATISTICS NO_THUMBNAILS # NO_FORCE_SPATIAL_REFERENCE NO_STATISTICS # NO_PIXEL_CACHE C:\Users\paulv\AppData\Local\ESRI\rasterproxies\CropSuitability</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>crops</keyword>
</searchKeys>
<idPurp>NZ Crop Suitability Mosaic Dataset</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>CropSuitability</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
