<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20140102</CreaDate>
<CreaTime>09074000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>FGDC CSDGM Metadata</ArcGISstyle>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">Crops_2011_USDA_IN.tif</itemName>
<itemLocation>
<linkage Sync="TRUE">file://C:\Data\0_NewData_Oct2013\NASS_Crops2009-10-11-12\Crops_2011_USDA_IN.tif</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">403455.477874</westBL>
<eastBL Sync="TRUE">692205.477874</eastBL>
<southBL Sync="TRUE">4180904.124636</southBL>
<northBL Sync="TRUE">4625504.124636</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">NAD_1983_UTM_Zone_16N</projcsn>
<peXml Sync="TRUE">&lt;ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' 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/10.1'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_UTM_Zone_16N&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_1983&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Transverse_Mercator&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,500000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-87.0],PARAMETER[&amp;quot;Scale_Factor&amp;quot;,0.9996],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,26916]]&lt;/WKT&gt;&lt;XOrigin&gt;-5120900&lt;/XOrigin&gt;&lt;YOrigin&gt;-9998100&lt;/YOrigin&gt;&lt;XYScale&gt;450445547.3910538&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;0.001&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;26916&lt;/WKID&gt;&lt;LatestWKID&gt;26916&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
<RasterProperties>
<General>
<PixelDepth Sync="TRUE">8</PixelDepth>
<HasColormap Sync="TRUE">TRUE</HasColormap>
<CompressionType Sync="TRUE">LZW</CompressionType>
<NumBands Sync="TRUE">1</NumBands>
<Format Sync="TRUE">TIFF</Format>
<HasPyramids Sync="TRUE">TRUE</HasPyramids>
<SourceType Sync="TRUE">discrete</SourceType>
<PixelType Sync="TRUE">unsigned integer</PixelType>
<NoDataValue Sync="TRUE">0</NoDataValue>
</General>
</RasterProperties>
</DataProperties>
<SyncDate>20140102</SyncDate>
<SyncTime>09074000</SyncTime>
<ModDate>20140102</ModDate>
<ModTime>09074000</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.2.0.3348</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">NASS Crop Cover 2011</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="002"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-88.161665</westBL>
<eastBL Sync="TRUE">-84.687979</eastBL>
<northBL Sync="TRUE">41.781385</northBL>
<southBL Sync="TRUE">37.755274</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idAbs/>
<searchKeys>
<keyword>Agriculture</keyword>
</searchKeys>
<idPurp>The USDA, NASS Cropland Data Layer (CDL) is a raster, geo-referenced, crop-specific land cover data layer. The 2016 CDL has a ground resolution of 30
meters. The CDL is produced using satellite imagery from the Landsat 8 OLI/TIRS sensor and the Disaster Monitoring Constellation (DMC) DEIMOS-1 and UK2
sensors collected during the current growing season.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdChar>
<CharSetCd Sync="TRUE" value="004"/>
</mdChar>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Raster Dataset</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="26916"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">8.1.1</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<Georect>
<cellGeo>
<CellGeoCd Sync="TRUE" value="002"/>
</cellGeo>
<numDims Sync="TRUE">2</numDims>
<tranParaAv Sync="TRUE">1</tranParaAv>
<chkPtAv Sync="TRUE">0</chkPtAv>
<cornerPts>
<pos Sync="TRUE">403455.477874 4180904.124636</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">403455.477874 4625504.124636</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">692205.477874 4625504.124636</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">692205.477874 4180904.124636</pos>
</cornerPts>
<centerPt>
<pos Sync="TRUE">547830.477874 4403204.124636</pos>
</centerPt>
<axisDimension type="002">
<dimSize Sync="TRUE">9625</dimSize>
<dimResol>
<value Sync="TRUE" uom="Meter">30.000000</value>
</dimResol>
</axisDimension>
<axisDimension type="001">
<dimSize Sync="TRUE">14820</dimSize>
<dimResol>
<value Sync="TRUE" uom="Meter">30.000000</value>
</dimResol>
</axisDimension>
<ptInPixel>
<PixOrientCd Sync="TRUE" value="001"/>
</ptInPixel>
</Georect>
</spatRepInfo>
<eainfo>
<detailed Name="Crops_2011_USDA_IN.tif.vat">
<enttyp>
<enttypl Sync="TRUE">Crops_2011_USDA_IN.tif.vat</enttypl>
<enttypt Sync="TRUE">Table</enttypt>
<enttypc Sync="TRUE">66</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OID</attrlabl>
<attalias Sync="TRUE">OID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">VALUE</attrlabl>
<attalias Sync="TRUE">VALUE</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">9</attwidth>
<atprecis Sync="TRUE">9</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">CLASS_NAME</attrlabl>
<attalias Sync="TRUE">CLASS_NAME</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">32</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">RED</attrlabl>
<attalias Sync="TRUE">RED</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">GREEN</attrlabl>
<attalias Sync="TRUE">GREEN</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">BLUE</attrlabl>
<attalias Sync="TRUE">BLUE</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">OPACITY</attrlabl>
<attalias Sync="TRUE">OPACITY</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Count</attrlabl>
<attalias Sync="TRUE">Count</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<contInfo>
<ImgDesc>
<contentTyp>
<ContentTypCd Sync="TRUE" value="002"/>
</contentTyp>
<covDim>
<Band>
<dimDescrp Sync="TRUE">Band_1</dimDescrp>
<bitsPerVal Sync="TRUE">8</bitsPerVal>
<valUnit>
<UOM type="length"/>
</valUnit>
</Band>
</covDim>
</ImgDesc>
</contInfo>
<mdDateSt Sync="TRUE">20140102</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
