<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20191022</CreaDate>
<CreaTime>04204000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs> Land use land cover map generated from
LANDSAT-5 satellite images captured
on 2009/01/11</idAbs>
<searchKeys>
<keyword>LULC</keyword>
<keyword>Dhaka</keyword>
<keyword>ESPA</keyword>
</searchKeys>
<idPurp>Generated for Eco System Services for Poverty Alleviation Project</idPurp>
<idCredit>IWMI</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Dhaka Land Use Land Cover Classification 2009</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
