<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20211013</CreaDate>
<CreaTime>14161500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Land_Cover_2017</resTitle>
</idCitation>
<idAbs>Raster data classification for four classes including field, impervious surface, tree canopy, and water for East Baton Rouge Parish, Louisiana. Source imagery acquired from Eagleview captured in February and March of 2017 at six inch color near-infrared high resolution imagery. View metadata at https://city.brla.gov/gis/metadata/LAND_COVER_2017.html</idAbs>
<searchKeys>
<keyword>Land</keyword>
<keyword>Cover</keyword>
<keyword>Field</keyword>
<keyword>Impervious</keyword>
<keyword>Tree</keyword>
<keyword>Water</keyword>
<keyword>EBRP</keyword>
</searchKeys>
<idPurp>2017 Land Cover</idPurp>
<idCredit>EBRGIS; Department of Information Services</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
