<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="es">
<Esri>
<CreaDate>20240126</CreaDate>
<CreaTime>09254300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20240126" Time="092543" ToolSource="c:\users\usuario\appdata\local\programs\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\RasterToPolygon">RasterToPolygon Reclass_Minu1 "C:\Users\USUARIO\Downloads\GeoGeeks\Mesa Creativa\Incendios\Default.gdb\RasterT_Reclass1" SIMPLIFY Value MULTIPLE_OUTER_PART #</Process>
<Process Date="20240126" Time="092634" ToolSource="c:\users\usuario\appdata\local\programs\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "CIMDATA=&lt;CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.2.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=C:\Users\USUARIO\Downloads\GeoGeeks\Mesa Creativa\Incendios\Default.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;RasterT_Reclass1&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" &lt;operationSequence&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;area&lt;/field_name&gt;&lt;field_type&gt;DOUBLE&lt;/field_type&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;field_is_required&gt;False&lt;/field_is_required&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
<Process Date="20240126" Time="092738" ToolSource="c:\users\usuario\appdata\local\programs\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateGeometryAttributes">CalculateGeometryAttributes RasterT_Reclass1 "area AREA" # Hectares 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]] "Same as input"</Process>
<Process Date="20240126" Time="093734" ToolSource="c:\users\usuario\appdata\local\programs\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "CIMDATA=&lt;CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.2.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=C:\Users\USUARIO\Downloads\GeoGeeks\Mesa Creativa\Incendios\Default.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;RasterT_Reclass1&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" &lt;operationSequence&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Clase&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_length&gt;255&lt;/field_length&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;field_is_required&gt;False&lt;/field_is_required&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<idPurp>Indice NBR imagen SENTINEL2 2024/01/23</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>INDICE_NBR</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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==
</Data>
</Thumbnail>
</Binary>
</metadata>
