<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20220422</CreaDate>
<CreaTime>14335100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>green_cover_web_service_ndvi0_05_01</resTitle>
</idCitation>
<idAbs/>
<searchKeys>
<keyword>environment</keyword>
</searchKeys>
<idPurp>Map service containing green cover dataset created through NDVI analsis and integration of UKMAP and OSMM landcover data. (raster data)</idPurp>
<idCredit>GLA 2018</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
