<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20220721</CreaDate>
<CreaTime>10403200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20220721" Name="Build Pyramids" Time="104032" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\BuildPyramids">BuildPyramids E:\Noderigi\LIFE\Interaktiva_karte\LiFE_interaktiva_karte\Raster.sde\raster.sde.Pavasara_pali_002 8 SKIP_FIRST Nearest LZ77 100 OVERWRITE</Process>
<Process Date="20220721" Name="Calculate Statistics" Time="104941" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateStatistics">CalculateStatistics E:\Noderigi\LIFE\Interaktiva_karte\LiFE_interaktiva_karte\Raster.sde\raster.sde.Pavasara_pali_002 # # # SKIP_EXISTING "Feature Set"</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>Ūdens dziļums reizi 2 gados</keyword>
</searchKeys>
<idPurp>Ūdens dziļums reizi 2 gados</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Ūdens dziļums reizi 2 gados</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
