<?xml-stylesheet type="text/xsl" href="./arcgis_pro_fgdl.xsl"?>
<metadata><dataIdInfo><idPurp>The purpose of the Cooperative Land Cover Map is to fill a priority data gap of Florida's State Wildlife Action Plan (SWAP) for improved habitat mapping. In addition it provides significantly improved data for scrub and sandhill, priority habitats of the SWAP. The map will inform a variety of conservation and management activities in Florida.</idPurp><idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P STYLE="margin:0 0 7 0;"&gt;&lt;SPAN&gt;The Cooperative Land Cover Map is a project to develop an improved statewide land cover map from existing sources and expert review of aerial photography. The project is directly tied to a goal of Florida's State Wildlife Action Plan (SWAP) to represent Florida's diverse habitats in a spatially-explicit manner.&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 7 0;"&gt;&lt;SPAN&gt;Changes from Version 3.2.5 to Version 3.3: The CLC v3.3 includes several new site specific data sources: Revised FNAI natural community maps for 14 FWC managed or co-managed lands, including 7 WMA and 7 WEA, 1 State Forest, 3 Hillsboro County managed areas, and 1 Florida Forever proposal. This data is from the 2017 &#8211; 2018 mapping efforts. Select sites and classes were included from the 2016 &#8211; 2017 NWFWMD (FLUCCS) dataset. M.C. Davis Conservation areas, 18331x agricultural classes underwent a thorough review and reclassification where appropriate. Prairie Mesic Hammock (1122) was reclassified to Prairie Hydric Hammock (22322) in the Everglades. All SITE level Tree Plantations (18333) were reclassified to Coniferous Plantations (183332). The addition of FWC Oyster Bar (5230) features. Other classification errors were opportunistically corrected as found or as reported by users to &lt;/SPAN&gt;&lt;A href="mailto:landcovermap@myfwc.com" STYLE="text-decoration:underline;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;landcovermap@myfwc.com&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;&lt;SPAN&gt;, including classification corrections to sites in T.M. Goodwin and Ocala National Forest. CLC v3.3 utilizes the updated The Florida Land Cover Classification System (2018), altering the following class names and numbers: Irrigated Row Crops (1833111), Wet Coniferous Plantations (1833321) (formerly 2450), Major Springs (4131) (formerly 3118). Mixed Hardwood-Coniferous Swamps (2240) (formerly Other Wetland Forested Mixed).&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs><idCredit>Data compiled from multiple sources by Florida Fish and Wildlife Conservation Commission (FWC) and Florida Natural Areas Inventory (FNAI).</idCredit><idCitation><resTitle>Cooperative Land Cover v3.3 Raster - State Classes</resTitle><presForm><PresFormCd value="005"/></presForm></idCitation><searchKeys><keyword>Natural community</keyword><keyword>Florida</keyword><keyword>Florida Land Cover and Forms Classification System</keyword><keyword>Florida Land Cover Classification System</keyword><keyword>habitat</keyword><keyword>vegetation</keyword><keyword>land use/land cover</keyword><keyword>land cover</keyword></searchKeys><envirDesc>Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1.4959</envirDesc><dataLang><languageCode value="eng"/><countryCode value="USA"/></dataLang><spatRpType><SpatRepTypCd value="001"/></spatRpType><dataExt><geoEle xmlns=""><GeoBndBox esriExtentType="search"><exTypeCode>1</exTypeCode><westBL>-87.639381</westBL><eastBL>-79.813572</eastBL><northBL>31.042644</northBL><southBL>24.353590</southBL></GeoBndBox></geoEle></dataExt><resConst><Consts><useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P STYLE="margin:0 0 7 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Data are intended to be used for general informational and planning purposes and not appropriate for legal, regulatory and/or cadastral purposes&lt;/SPAN&gt;</useLimit></Consts></resConst><dataChar><CharSetCd value="004"/></dataChar></dataIdInfo><mdHrLv><ScopeCd value="005"/></mdHrLv><mdChar><CharSetCd value="004"/></mdChar><eainfo><detailed xmlns="" Name="CLC_V3_3_STATE.tif.vat"><enttyp><enttypl>CLC_V3_3_STATE</enttypl><enttypd>LULC code found in the Florida Land Cover Classification System. It represents the most detailed level of classification available in the CLC.</enttypd><enttypt Sync="TRUE">Table</enttypt><enttypc Sync="TRUE">77</enttypc></enttyp><attr xmlns=""><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 xmlns=""><attrlabl>Value</attrlabl><attalias Sync="TRUE">Value</attalias><attrtype Sync="TRUE">Integer</attrtype><attwidth Sync="TRUE">10</attwidth><atprecis Sync="TRUE">10</atprecis><attscale Sync="TRUE">0</attscale></attr><attr xmlns=""><attrlabl>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><attr xmlns=""><attrlabl>STATE</attrlabl><attalias Sync="TRUE">STATE</attalias><attrtype Sync="TRUE">Integer</attrtype><attwidth Sync="TRUE">10</attwidth><atprecis Sync="TRUE">10</atprecis><attscale Sync="TRUE">0</attscale></attr><attr xmlns=""><attrlabl>NAME_STATE</attrlabl><attalias Sync="TRUE">NAME_STATE</attalias><attrtype Sync="TRUE">String</attrtype><attwidth Sync="TRUE">254</attwidth><atprecis Sync="TRUE">0</atprecis><attscale Sync="TRUE">0</attscale></attr><attr xmlns=""><attrlabl>Area_Acres</attrlabl><attalias Sync="TRUE">Area_Acres</attalias><attrtype Sync="TRUE">Double</attrtype><attwidth Sync="TRUE">19</attwidth><atprecis Sync="TRUE">0</atprecis><attscale Sync="TRUE">0</attscale></attr><attr xmlns=""><attrlabl>Legend</attrlabl><attalias Sync="TRUE">Legend</attalias><attrtype Sync="TRUE">Integer</attrtype><attwidth Sync="TRUE">10</attwidth><atprecis Sync="TRUE">10</atprecis><attscale Sync="TRUE">0</attscale></attr></detailed><detailed xmlns=""><enttyp><enttypl>NAME_SITE</enttypl><enttypd>associated LULC class name.</enttypd></enttyp></detailed><detailed xmlns=""><enttyp><enttypl>STATE</enttypl><enttypd>LULC code found in the Florida Land Cover Classification System. It represents the generalized level of classification used in the CLC.It represents the generalized level of classification used in the CLC.</enttypd></enttyp></detailed><detailed xmlns=""><enttyp><enttypl>NAME_STATE</enttypl><enttypd>associated LULC class name.</enttypd></enttyp></detailed></eainfo><mdLang><languageCode value="eng"/><countryCode value="USA"/></mdLang><distInfo><distFormat><formatName>File Geodatabase Feature Class</formatName></distFormat></distInfo><mdHrLvName>dataset</mdHrLvName><refSysInfo><RefSystem><refSysID><identCode code="0"/><idCodeSpace Sync="TRUE">EPSG</idCodeSpace><idVersion Sync="TRUE">6.12(9.2.0)</idVersion></refSysID></RefSystem></refSysInfo><spatRepInfo><VectSpatRep><geometObjs><geoObjTyp><GeoObjTypCd value="002"/></geoObjTyp><geoObjCnt>2019012</geoObjCnt></geometObjs><topLvl><TopoLevCd value="001"/></topLvl></VectSpatRep><Georect><cellGeo><CellGeoCd value="002" Sync="TRUE"/></cellGeo><numDims>2</numDims><tranParaAv>1</tranParaAv><chkPtAv>0</chkPtAv><cornerPts><pos>52652.496500 45555.784500</pos></cornerPts><cornerPts><pos>52652.496500 781585.784500</pos></cornerPts><cornerPts><pos>799592.496500 781585.784500</pos></cornerPts><cornerPts><pos>799592.496500 45555.784500</pos></cornerPts><centerPt><pos>426122.496500 413570.784500</pos></centerPt><axisDimension type="002"><dimSize>74694</dimSize><dimResol><value uom="m">10.000000</value></dimResol></axisDimension><axisDimension type="001"><dimSize>73603</dimSize><dimResol><value uom="m">10.000000</value></dimResol></axisDimension><ptInPixel><PixOrientCd value="001" Sync="TRUE"/></ptInPixel></Georect></spatRepInfo><mdDateSt Sync="TRUE">20251023</mdDateSt><Esri><DataProperties><itemProps><itemName>CLC_V3_3_STATE.tif</itemName><itemLocation><linkage>file://C:\Users\alexist\Desktop\raster_zips\raster_prep\CLC_V3_3_STATE.tif</linkage><protocol>Local Area Network</protocol></itemLocation><imsContentType>002</imsContentType><nativeExtBox><westBL>52652.496500</westBL><eastBL>799592.496500</eastBL><southBL>45555.784500</southBL><northBL>781585.784500</northBL><exTypeCode>1</exTypeCode></nativeExtBox></itemProps><coordRef><type>Projected</type><geogcsn>GCS_North_American_1983_HARN</geogcsn><csUnits>Linear Unit: Meter (1.000000)</csUnits><projcsn>FDEP_Albers_HARN</projcsn><peXml>&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/3.4.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;FDEP_Albers_HARN&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983_HARN&amp;quot;,DATUM[&amp;quot;D_North_American_1983_HARN&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;Albers&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,400000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-84.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,24.0],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,31.5],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,24.0],UNIT[&amp;quot;Meter&amp;quot;,1.0]]&lt;/WKT&gt;&lt;XOrigin&gt;-19550100&lt;/XOrigin&gt;&lt;YOrigin&gt;-7526400&lt;/YOrigin&gt;&lt;XYScale&gt;225743210.67916927&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;/ProjectedCoordinateSystem&gt;</peXml></coordRef><RasterProperties><General><PixelDepth>32</PixelDepth><HasColormap>FALSE</HasColormap><CompressionType>LZW</CompressionType><NumBands>1</NumBands><Format>TIFF</Format><HasPyramids>TRUE</HasPyramids><SourceType>discrete</SourceType><PixelType>signed integer</PixelType><NoDataValue>2.1474836e+09</NoDataValue></General></RasterProperties></DataProperties><SyncDate>20251015</SyncDate><SyncTime>16110400</SyncTime><ModDate>20251023</ModDate><ModTime>15542000</ModTime><ArcGISFormat>1.0</ArcGISFormat><scaleRange><minScale>150000000</minScale><maxScale>5000</maxScale></scaleRange><ArcGISProfile>FGDC</ArcGISProfile></Esri><contInfo><ImgDesc><contentTyp><ContentTypCd value="002" Sync="TRUE"/></contentTyp><covDim><Band><dimDescrp>Band_1</dimDescrp><maxVal>1833121.000000</maxVal><minVal>1110.000000</minVal><bitsPerVal>32</bitsPerVal><valUnit><UOM type="length"/></valUnit></Band></covDim></ImgDesc></contInfo><Binary><Thumbnail><Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data></Thumbnail></Binary></metadata>