<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="es">
<Esri>
<CreaDate>20231030</CreaDate>
<CreaTime>15275800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20231030" Time="152758" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\MosaicToNewRaster">MosaicToNewRaster 20231023_152125_13_2477_3B_AnalyticMS_SR_8b_harmonized_clip.tif;20231023_152127_21_2477_3B_AnalyticMS_SR_8b_harmonized_clip.tif;20231023_152129_30_2477_3B_AnalyticMS_SR_8b_harmonized_clip.tif;20231023_152131_38_2477_3B_AnalyticMS_SR_8b_harmonized_clip.tif;20231023_152133_47_2477_3B_AnalyticMS_SR_8b_harmonized_clip.tif "C:\Users\sergi\OneDrive - Procalculo Prosis S.A.S\Servicios profesionales\Procesos\HIDROITUANGO\Procesamiento_imagenes\23-10-2023\MF_HIDROITUANGO\MF_HIDROITUANGO.gdb" MSC PROJCS["WGS_1984_UTM_Zone_18N",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-75.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]] "16 bit unsigned" # 8 First First</Process>
<Process Date="20231030" Time="233805" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CopyMultiple">CopyMultiple "'C:\Users\sergi\OneDrive - Procalculo Prosis S.A.S\Servicios profesionales\Procesos\HIDROITUANGO\Procesamiento_imagenes\23-10-2023\MF_HIDROITUANGO\MF_HIDROITUANGO.gdb\MSC' RasterDataset" "C:\Users\sergi\OneDrive - Procalculo Prosis S.A.S\Servicios profesionales\Procesos\HIDROITUANGO\Procesamiento_imagenes\23-10-2023\RESULTADOS\MAT_FLO_23OCT.gdb" MSC "MSC RasterDataset MSC #"</Process>
<Process Date="20231030" Time="233844" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Rename">Rename "C:\Users\sergi\OneDrive - Procalculo Prosis S.A.S\Servicios profesionales\Procesos\HIDROITUANGO\Procesamiento_imagenes\23-10-2023\RESULTADOS\MAT_FLO_23OCT.gdb\MSC" "C:\Users\sergi\OneDrive - Procalculo Prosis S.A.S\Servicios profesionales\Procesos\HIDROITUANGO\Procesamiento_imagenes\23-10-2023\RESULTADOS\MAT_FLO_23OCT.gdb\Mosaico" RasterDataset</Process>
<Process Date="20240514" Time="174149" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\Toolboxes\Data Management Tools.tbx\CopyMultiple">CopyMultiple "'C:\Users\sergi\OneDrive - Procalculo Prosis S.A.S\Servicios profesionales\Procesos\HIDROITUANGO\Procesamiento_imagenes\23-10-2023\RESULTADOS\MAT_FLO_23OCT.gdb\Mosaico' RasterDataset" "C:\Users\sergi\OneDrive - Procalculo Prosis S.A.S\Consolidado_EPM\Consolidado\Consolidado_MatFlo.gdb" Mosaico "Mosaico RasterDataset Mosaico #"</Process>
<Process Date="20240514" Time="174535" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\Toolboxes\Data Management Tools.tbx\Rename">Rename "C:\Users\sergi\OneDrive - Procalculo Prosis S.A.S\Consolidado_EPM\Consolidado\Consolidado_MatFlo.gdb\Mosaico" "C:\Users\sergi\OneDrive - Procalculo Prosis S.A.S\Consolidado_EPM\Consolidado\Consolidado_MatFlo.gdb\Mosaico_23102023" RasterDataset</Process>
<Process Date="20240515" Time="140240" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\Toolboxes\Data Management Tools.tbx\CopyMultiple">CopyMultiple "'C:\Users\davo2\OneDrive - Procalculo Prosis S.A.S\05_EPM\Consolidado\Consolidado_MatFlo.gdb\Mosaico_23102023' RasterDataset" "C:\Users\davo2\OneDrive - Procalculo Prosis S.A.S\05_EPM\Consolidado\ConsolidadoFaltantes.gdb" Mosaico_23102023 "Mosaico_23102023 RasterDataset Mosaico_23102023 #"</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>Imagen</keyword>
<keyword>Macrofitas</keyword>
</searchKeys>
<idPurp>Imagen Macrofitas del 23/10/2023</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Macrofitas23</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
