<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="el">
<Esri>
<CreaDate>20240919</CreaDate>
<CreaTime>17005500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20240919" Time="170055" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Spatial Analyst Tools.tbx\Reclassify">Reclassify "Fire Weather Index 1971-80.tif" VALUE "2,002551 5,200000 1;5,200000 11,200000 2;11,200000 21,300000 3;21,300000 38 4;38 50 5;50 70 6" "D:\Education\MSc Geography &amp; Applied Geoinformatics\Thesis\Thesis Data\IDW\Reclassified\fwi_7180" DATA</Process>
</lineage>
<LayerFile>{"type":"CIMLayerDocument","version":"3.0.0","build":36057,"layers":["CIMPATH=map/fwi_7180.json"],"layerDefinitions":[{"type":"CIMRasterLayer","name":"fwi_7180","uRI":"CIMPATH=map/fwi_7180.json","sourceModifiedTime":{"type":"TimeInstant"},"useSourceMetadata":true,"description":"fwi_7180","layerElevation":{"type":"CIMLayerElevationSurface","elevationSurfaceLayerURI":"CIMPATH=Map/5bb0121dda58472e86d3950e145b1568.json"},"expanded":true,"layerType":"Operational","showLegends":true,"visibility":true,"displayCacheType":"Permanent","maxDisplayCacheAge":5,"showPopups":true,"serviceLayerID":-1,"refreshRate":-1,"refreshRateUnit":"esriTimeUnitsSeconds","blendingMode":"Alpha","allowDrapingOnIntegratedMesh":true,"dataConnection":{"type":"CIMStandardDataConnection","workspaceConnectionString":"DATABASE=D:\\Education\\MSc Geography &amp; Applied Geoinformatics\\Thesis\\Thesis Data\\IDW\\Reclassified\\","workspaceFactory":"Raster","dataset":"fwi_7180","datasetType":"esriDTRasterDataset"},"colorizer":{"type":"CIMRasterUniqueValueColorizer","resamplingType":"NearestNeighbor","fieldName":"Value","groups":[{"type":"CIMRasterUniqueValueGroup","classes":[{"type":"CIMRasterUniqueValueClass","values":["1"],"label":"1","color":{"type":"CIMRGBColor","values":[235.569999999999993,149.169999999999987,122.89,100]}},{"type":"CIMRasterUniqueValueClass","values":["2"],"label":"2","color":{"type":"CIMRGBColor","values":[81.75,93.5400000000000063,227.41,100]}},{"type":"CIMRasterUniqueValueClass","values":["3"],"label":"3","color":{"type":"CIMRGBColor","values":[129.09,248.09,97.6700000000000017,100]}},{"type":"CIMRasterUniqueValueClass","values":["4"],"label":"4","color":{"type":"CIMRGBColor","values":[86.2099999999999937,219.050000000000011,241.360000000000014,100]}},{"type":"CIMRasterUniqueValueClass","values":["5"],"label":"5","color":{"type":"CIMRGBColor","values":[243.22,109.64,203.610000000000014,100]}},{"type":"CIMRasterUniqueValueClass","values":["6"],"label":"6","color":{"type":"CIMRGBColor","values":[96.1800000000000068,128.09,62.009999999999998,100]}}],"heading":"Value"}],"colorRamp":{"type":"CIMRandomHSVColorRamp","colorSpace":{"type":"CIMICCColorSpace","url":"Default RGB"},"maxH":360,"minS":33,"maxS":66,"minV":50,"maxV":99,"minAlpha":100,"maxAlpha":100}},"attributeTable":{"type":"CIMRasterTable","displayField":"VALUE","editable":true}}]}</LayerFile>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<idPurp/>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>fwi_7180</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
