<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20220406</CreaDate>
<CreaTime>09380700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20220406" Time="093807" ToolSource="c:\program files (x86)\arcgis\desktop10.6\ArcToolbox\Toolboxes\Spatial Analyst Tools.tbx\ExtractByMask">ExtractByMask YRRisk_4.tif SPAM_2010gt50h "D:\RustTracker files\Location and Observation data\Kenya\vulnerability mapping\YellowRustRiskLayer\Kenya YR Risk\KenyaYRRisk50ha.tif"</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>General risk</keyword>
<keyword>yellow rust</keyword>
<keyword>kenya</keyword>
</searchKeys>
<idPurp>General_risk_YR_Kenya</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>General_risk_YR_Kenya</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
