<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20260119</CreaDate>
<CreaTime>10594000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20260119" Time="105940" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CompositeBands">CompositeBands T35MQU_20260116T081159_B12_20m.jp2;T35MQU_20260116T081159_B11_20m.jp2;T35MQU_20260116T081159_B8A_20m.jp2 C:\Users\user\Documents\ArcGIS\Projects\MyProjectNyiagongo\MyProjectNyiagongo.gdb\T35MQU_2026011_CompositeBand1</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>RSA</keyword>
</searchKeys>
<idPurp>Lava lake detection</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>2026 01 16</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
