<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20240628</CreaDate>
<CreaTime>18553400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>LST2020max_Germany_wms</resTitle>
</idCitation>
<idAbs/>
<idCredit/>
<searchKeys>
<keyword>lst</keyword>
<keyword>modis</keyword>
<keyword>2020</keyword>
<keyword>germany</keyword>
</searchKeys>
<idPurp>LSTmax_m_2020_dtl_MODIS_modified_tif</idPurp>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
