20241230 10492300 1.0 FALSE CLC_V3_8_STATE.tif 52652.496500 799592.496500 45555.784500 781585.784500 1 002 Projected GCS_North_American_1983_HARN Linear Unit: Meter (1.000000) NAD_1983_HARN_Albers <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/3.3.0'><WKT>PROJCS[&quot;NAD_1983_HARN_Albers&quot;,GEOGCS[&quot;GCS_North_American_1983_HARN&quot;,DATUM[&quot;D_North_American_1983_HARN&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Albers&quot;],PARAMETER[&quot;False_Easting&quot;,400000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-84.0],PARAMETER[&quot;Standard_Parallel_1&quot;,24.0],PARAMETER[&quot;Standard_Parallel_2&quot;,31.5],PARAMETER[&quot;Latitude_Of_Origin&quot;,24.0],UNIT[&quot;Meter&quot;,1.0]]</WKT><XOrigin>-19550100</XOrigin><YOrigin>-7526400</YOrigin><XYScale>225743210.67916927</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision></ProjectedCoordinateSystem> 32 FALSE LZW 1 TIFF TRUE discrete unsigned integer 0 20250911 15424500 20251015 16083600 FGDC 150000000 5000 dataset Land Cover Map Florida Fish and Wildlife Conservation Commission-Fish and Wildlife Research Institute Land Cover Map landcovermap@MyFWC.com Land Cover Map Land Cover Map 20251015 ArcGIS Metadata 1.0 0.000 Florida Geographic Data Library (FGDL) Jonathan and Melanie Antevy Hall 1480 Inner Road, Room 431 PO Box 115706 Gainesville FL 32611-5706 US https://fgdl.org/info/contact/ None DOWNLOADABLE DATA https://www.fgdl.org/ Raster Dataset <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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.</SPAN></P><P><SPAN>Changes from Version 3.7 to 3.8: CLC 3.8 includes several new site specific data sources. Revised FNAI natural community maps for 34 managed areas (2011, 2019, 2023-2024). FWC utilized the Power Plants dataset created by the U.S. Energy Information Administration to create a statewide delineation of solar farms. The solar farms classification is denoted as "Solar Farms" at the SITE level and reclassed as "Utilities" at the STATE level. Other classification errors were opportunistically corrected as found or as reported by users to landcovermap@myfwc.com. </SPAN></P></DIV></DIV></DIV> Cooperative Land Cover v3.8 in Florida 2024-12-01T00:00:00 3.8 vector digital data State of Florida Land Cover Map Florida Fish and Wildlife Conservation Commission-Fish and Wildlife Research Institute Land Cover Map landcovermap@MyFWC.com Land Cover Map Land Cover Map Florida Fish and Wildlife Conservation Commission-Fish and Wildlife Research Institute Land Cover Map landcovermap@MyFWC.com Florida land cover FWC Theme land cover 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. Data compiled from multiple sources by Florida Fish and Wildlife Conservation Commission (FWC) and Florida Natural Areas Inventory (FNAI). <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Data are intended to be used for general informational and planning purposes and not appropriate for legal, regulatory and/or cadastral purposes</SPAN></P></DIV></DIV></DIV> The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. This data set is in the public domain, and the recipient may not assert any proprietary rights thereto nor represent it to anyone as other than a Florida Fish and Wildlife Conservation Commission produced data set; it is provided "as-is" without warranty of any kind, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. The user assumes all responsibility for the accuracy and suitability of this data set for a specific application. In no event will the staff of the Florida Fish and Wildlife Conservation Commission be liable for any damages, including lost profits, lost savings, or other incidental or consequential damages arising from the use of or the inability to use this data set. Available without restriction Esri ArcGIS 13.1.0.41833 Full reports are available from FWC upon request if not supplied with these data. FWC Place Florida 1 -87.639382 -79.813606 31.042668 24.353591 Spatial and attribute information fluccs_northwest_2006_07 NWFWMD 2006 - 07 Land Use Land Cover 2009-03-04 Florida Department of Environmental Protection, Bureau of Watershed Restoration 2006-01-01T00:00:00 Spatial and attribute information fluccs_suwannee_2005_08 SRWMD 2005 - 2008 Land Use Land Cover 2008 Florida Department of Environmental Protection, Bureau of Watershed Restoration ground condition 2006 2008 Spatial and attribute information SJRWMD Land Use and Land Cover (2004) SJRWMD Land Use and Land Cover (2004) 2006-11 St. Johns River Water Management District ground condition 2004 Spatial and attribute information SFWMD 2004-05 Land Cover Land Use SFWMD 2004_05 LCLU 2004 Photo Science, Inc. 2004 Spatial and attribute information SWFWMD 2008 Land Use Land Cover SWFWMD 2008 Land Use Land Cover 2008 Southwest Florida Water Management District ground condition 2008 Spatial and attribute information FNAI Natural Community Mapping Projects 2003 - 2010 FNAI Natural Community Mapping Projects 2010 Florida Natural Areas Inventory (FNAI) ground condition 2003 Spatial and attribute information Eglin Air Force Base Land Cover Map Eglin Air Force Base Land Cover Map 1999 Florida Natural Areas Inventory 1997 Spatial and attribute information Avon Park Air Force Range Natural Vegetation Communities Avon Park Air Force Range Natural Vegetation Communities 1999 Avon Park Air Force Range Data provided by Steve Orzell, APAFR ground condition Spatial and attribute information St. Marks National Wildlife Refuge Habitats St. Marks National Wildlife Refuge Habitats 2009 U. S. Fish and Wildlife Service Data provided by Mike Keys, USFWS 2004 2009 Spatial and attribute information Flint Rock Natural Community Map Flint Rock Natural Community Map 2010 Florida Natural Areas Inventory ground condition 2010 Spatial and attribute information Cape Canaveral Air Force Station Natural Community Map Cape Canaveral Air Force Station Natural Community Map 2009 Florida Natural Areas Inventory Gulledge, K., G. Schultz, and A. Johnson. 2009. Coastal maritime hammock evaluation and delineation, Cape Canaveral Air Force Station, Florida: Final Report. Florida Natural Areas Inventory, Tallahassee, Florida, USA. 2009 Spatial and attribute information Lake Wales Ridge Vegetation Mapping Lake Wales Ridge Vegetation Mapping 2002 Archbold Biological Station; Florida Natural Areas Inventory; The Nature Conservancy ground condition 2000 2002 Spatial and attribute information Archbold Biological Station Vegetation Map Archbold Biological Station Vegetation Map 1984 Archbold Biological Station Abrahamson, W. G., A. F. Johnson, J. N. Layne, and P. A. Peroni. 1984. Vegetation of the Archbold Biological Station, Florida: an example of the southern Lake Wales Ridge. Florida Scientist 47:209-250. ground condition 1984 Spatial and attribute information Big Pine Key Land Cover Big Pine Key Land Cover 2009 Hurricane Research Center at Florida International University Project Name: Prediction of Pine Forest Changes in the Florida Keys Due to Sea Level Rise Principal Investigators: Keqi Zhang and Michael Ross Data provided by Danielle Ogurcak, FIU ground condition 2009 Spatial and attribute information Natural Forest Communities of Miami-Dade County Natural Forest Communities of Miami-Dade County 2009 Institute for Regional Conservation Data provided by Keith Bradley, IRC ground condition 2005 2009 Spatial and attribute information Upland Glades Occurrence Map Upland Glades Occurrence Map 2010 Florida Natural Areas Inventory ground condition 2007 Spatial and attribute information Florida Park Service Natural Community Maps Florida Park Service Natural Community Maps 2009 Florida Park Service Data provided by Brady Harrison, FPS ground condition 1997 2009 Spatial and attribute information Florida Forever Projects Field Assessment Maps Florida Forever Projects Field Assessment Maps - 2019 2010 Florida Natural Areas Inventory ground condition 2001 2018 Spatial and attribute information Kennedy Space Center Land Cover 2003 Kennedy Space Center Land Cover 2003 on Schaub, Dynamac Corp. at KSC ground condition 2003 Spatial and attribute information St. Johns River Water Management District Natural Community Maps St. Johns River Water Management District Natural Community Maps 2009 St. Johns River Water Management District Data provided by J. B. Miller, SJRWMD ground condition 2004 2009 Spatial and attribute information Nature Conservancy Preserves Vegetation Maps Nature Conservancy Preserves Vegetation Maps 2007 The Nature Conservancy Data provided by Kathy Freeman, TNC and David Printiss, TNC ground condition 1999 2007 Spatial and attribute information Palm Beach County Natural Areas Land cover Palm Beach County Natural Areas Land cover 2007 Palm Beach County, Environmental Resource Management Data provided by Matt King, PBC ground condition 2003 2007 Spatial and attribute information Nokuse Plantation Land Cover Nokuse Plantation Land Cover 2009 Nokuse Plantation Data provided by Matt Aresco, Nokuse Plantation Note: Only scrub and sandhill polygons were provided; comprehensive land cover was not complete at time of Cooperative Land Cover Map publication. ground condition 2009 Spatial and attribute information Charlotte County Parks Vegetation Data Charlotte County Parks Vegetation Data Charlotte County Data provided by Bryon Catlin, Charlotte Co ground condition Spatial and attribute information Everglades Vegetation Everglades Vegetation 1999 University of Georgia; South Florida Natural Resources Center of Everglades National Park 1999 Spatial and attribute information Historical Natural Community Mapping Projects Historical Natural Community Mapping Projects 2010 Florida Natural Areas Inventory ground condition 2004 2010 Spatial and attribute information Ocala National Forest Stands Map Ocala National Forest Stands Map 2010 U. S. Forest Service Data provided by Jason Drake, USFS ground condition 2010 Used as ancillary data Florida Vegetation and Land Cover Florida Vegetation and Land Cover 2003 Florida Fish and Wildlife Conservation Commission ground condition 2003 Used as ancillary data David Breininger Scrub Polygons David Breininger Scrub Polygons 1999 David Breininger Breininger, D. R. 2003. Biological criteria for the recovery of Florida Scrub-Jay populations on public lands in Brevard County and Indian River County. Final Report to Endangered Species Office, U. S. Fish and Wildlife Service, Jacksonville, FL, USA. <http://northflorida.fws.gov/Scrub-Jays/breininger-2003-report.htm>. Accessed 14 Jul 2010. Breininger, D. R., B. Toland, D. M. Oddy, and M. L. Legare. 2006. Landcover characterizations and Florida Scrub-Jay (Aphelocoma coerulescens) population dynamics. Biological Conservation 128:169-181. 1994 1999 Used as ancillary data Florida Keys Advanced Identification of Wetlands Land Cover Florida Keys Advanced Identification of Wetlands Land Cover 1991 FWC/Florida Wildlife Research Institute ground condition 1991 Used as ancillary data Sarasota County Apoxsee Habitat Layer Sarasota County Apoxsee Habitat Layer 2007 Earth Balance and Steve Sauers Environmental Management Clark, J. and S. Sauers. 2008. Sarasota County Native Habitat Mapping and Risk Assessment. Sarasota County Natural Resources, Sarasota, Florida, USA. Data provided by Sarasota County ground condition 2007 Used as ancillary data Scrub Soils for Five Southwest Counties Scrub Soils for Five Southwest Counties 2005 QuestEcology Gordon, D. 2005. Distribution of the Florida Scrub-Jay (Aphelocoma coerulescens) within the Hillsborough/Manatee Metapopulation. Report to U.S. Fish and Wildlife Service. U.S. Fish and Wildlife Service, Jacksonville, Florida, USA. Data provided by David Gordon, QuestEcology ground condition 2005 Used as ancillary data Lake County Scrub-Jay Habitat Survey Lake County Scrub-Jay Habitat Survey 2009 Lake County Data provided by Lauren Brothers, Lake County ground condition 2009 Used as ancillary data Natural Communities of Camp Blanding Military Reservation Natural Communities of Camp Blanding Military Reservation 1993 Florida Natural Areas Inventory ground condition 1993 Used as ancillary data Tate's Hell Historic Vegetation Tate's Hell Historic Vegetation 2000 Florida Natural Areas Inventory 2000 Used as ancillary data Statewide Scrub-Jay Habitat Statewide Scrub-Jay Habitat 1993 Archbold Biological Station Fitzpatrick, J. W., B. Pranty, and B. Stith. 1994. Florida scrub-jay statewide map, 1992-1993. U.S. Fish and Wildlife Service Report, Cooperative Agreement no. 14-16-0004-91-950. U.S. Fish and Wildlife Service, Washington, D.C., USA. ground condition 1992 1993 Vector Data Review, Editing, and Classification: The Cooperative Land Cover Map (CLC) served as the foundation dataset for revision efforts. Polygon vector data was compared against high resolution Digital Ortho Quarter Quads (DOQQ) and Google Earth imagery. Google Earth’s imagery was the most effective imagery available for visual data editing, due to its clarity, resolution, loading speed and data age. Vector data of individual land cover classes were converted to *.KML format for use in Google Earth. Errors identified through visual review were manually corrected. The most common errors encountered included incorrect boundaries, mislabeling of classes, hard edges between classes, and features containing multiple classes. Sliver polygons were eliminated based on two criteria: 1) Area 2) Preimeter to Area Ratio 1) Polygons with an area greater than or equal to 110 square meters were selected and dissolved into the largest adjacent polygon utilizing the Eliminate tool. 110 square meters was selected because the final raster will have a 10 meter cell size (100 square meters per cell) and the additional 10 square meters help to further remove sliver polygons that would require significant time to remove manually during the editing process. 2) Polygons with large ratios are less likely to accurately describe a significant landcover at the statewide scale. Therefore, polygons with a perimeter to edge ratio greater than or equal to 0.5 were eliminated into adjacent polygons sharing the longest edge. Remote Sensing Classification: Once gross spatial and thematic errors were corrected in the vector data, Erdas Imagine was employed to perform a series of unsupervised and supervised classifications of each SPOT image with the corrected polygon data as a guide. Point data used to locate solar farms. A selection was performed to isolate solar farms in Florida. Primsource = solar & State = Florida. Some points were not yet developed and those farms were not digitized. Some points represented solar roofs and not solar farms and those were not digitized. Accessed March 2024 “Power Plants.” U.S. Energy Atlas: Power Plants, July 2020, atlas.eia.gov/datasets/eia::power-plants/about. Accessed 1 Mar. 2024. U.S. Energy Atlas: Power Plants withheld Spatial and Attribute Information Aerial Photography Review of Focal Communities: Areas within existing source data in categories 1 through 3 (non-ancillary sources) were excluded from the set of polygons to be reviewed. Scrub, scrubby flatwoods, sandhill, dry prairie and mesic flatwoods (in SWF and SF only) were reviewed simultaneously as a single set of review polygons. Review polygons as well as proximal areas were inspected with the latest high resolution aerial photography (2006 - 2009) and other ancillary data sources including aerial photography from 2004, 1999 and 1995, topographic maps, county soils maps and other land cover datasets. Areas were reviewed at a scale of 1:5000 with a minimum mapping unit of 0.5 acres with exception to include smaller polygons for scrub and pine rockland. Polygons were spatially edited and new polygons were delineated where necessary to identify focal communities and then assigned the polygon a land cover type. Polygons were deleted from the set of review polygons that did not represent priority communities and were otherwise correctly classified. A land cover type was assigned to polygons classified as FLUCCS Coastal Scrub, Xeric Oak, Sand Pine, or Longleaf Pine - Xeric Oak; in addition almost all review polygons in the SWF and SF districts were assigned a land cover type. Any deleted polygon will default to its FLUCCS class in the final land cover map. FNAI biologists familiar with the focal communities both on the ground and through aerial photo interpretation performed the initial polygon inspections. A second reviewer then re-inspected the polygons that were assigned as one of the focal communities. A locations were checked from the FNAI element occurrence database that reference scrub, scrubby flatwoods, sandhill or dry prairie. Areas were identified that appeared to be functioning as viable natural communities. Areas that were historically scrub or sandhill but are now disturbed so that they likely no longer support their characteristic ecological elements or that have succeeded to another natural community type were excluded or classified as another land cover type. Many former sandhills were reclassified as successional hardwood forest. Pine plantation was reclassified as scrub or sandhill where it appeared to function ecologically as a natural community. This was especially true of planted sand pine scrub which can tolerate a high degree of disturbance. Aerial photographs from 1995 and 1999 were examined to help determine the level of past ground disturbance. Small patches within residential areas were not included, although if there appeared to be functional large patches within low density or rural residential areas we included them. Only obvious patches of scrubby flatwoods were mapped. This community was sometimes difficult to distinguish from scrub and we did not follow strict criteria for distinguishing the two. For dry prairie we strictly followed the FNAI definition of treeless areas of low shrubs and grasses within the buffered historic dry prairie extent. Many prairie-like areas are pine flatwoods in which trees have been removed. To determine dry prairie from flatwoods we considered geographic position, shrub patterns, proximity of wetlands and overall landscape context. 2010-01-01T00:00:00 Assemblage of Data Sources into Final Map: Tthe data was separated into 3 components for assembly into statewide land cover: 1) Local Source data, which consisted of all local sources with confidence category 1 through 3; 2) FNAI Review data, which consisted of all datasets that were inspected and classified through aerial photo review; and 3) FLUCCS. The SWFWMD published a new version of FLUCCS based on 2008 photography in spring 2010. Although we used 2007 FLUCCS for aerial photo review and comparative analyses in that district, we incorporated the 2008 data in the final land cover map. We converted all datasets into 15 m ESRI grids and combined them based on the following rules: 1) Local Source data with confidence category 1 and 2 superseded FNAI Review data; 2) FNAI Review data superseded Local Source data with confidence category 3; 3) all Local Source 1 through 3 and FNAI Review data superseded FLUCCS. 2010-01-01T00:00:00 The Cooperative Land Cover map integrates data from multiple sources. All sources were crosswalked into the Florida Land Cover Classification System (Kawula 2014) All source datasets were received and processed as vector data. A set of standard geoprocessing and topology operations were employed in ArcGIS 9.3, 10.1 to ensure no overlapping features within or among datasets. All data were projected into the Florida Albers custom coordinate system with NAD 1983 HARN datum. A minimum mapping unit of 0.5 acres was applied, and each polygon < 0.5 acres was dissolved into its largest neighboring polygon except for scrub, pine rockland and upland glade polygons for which we applied a minimum mapping unit of 0.1 acres. Finally, lines between neighboring polygons with the same classification were dissolved. Based on the review of each dataset, other modifications were made as described in: Florida Natural Areas Inventory, 2010. Development of a Cooperative Land Cover Map: Final Report (available from FNAI upon request). Explanation of confidence categories: Datasets were evaluated based on metadata, discussions with data providers and a general review of the spatial accuracy and classification. Based on this review, a confidence category was assigned to each dataset that indicated how or if the dataset, or certain classes within the dataset, would be integrated into the final land cover map. A confidence category of 1 indicates the highest level of confidence; these data spatially superseded all other intersecting sources. Category 2 data took precedence over statewide datasets (FLUCCS, FLVEG) but did not supersede category 1. Category 3 data were used with review and revision. Category 4 data were used to identify additional areas for aerial photo review and help interpret classification during the review process; these data, however, were not directly integrated into the final map. 2010-01-01T00:00:00 Edge Matching: Following map classification, we conducted further visual inspection of classified areas for consistency, errors, and edge matching between assembled data sets. 2014-01-01T00:00:00 Topology: Rules were established to ensure that: 1) all areas within the mapping area (i.e. Florida) are covered by a land class (polygon); and 2) that there is only one land class (polygon) defining a given area. Two topological rules were created to ensure these requirements are met: 1) Land Classes Must Not Have Gaps 2) Land Classes Must Not Overlap For errors that result from “Land Classes Must Not Have Gaps”, a polygon was created to fill that gap. This new polygon created NULL information in the attributes and must either: 1) be merged with an appropriate adjacent polygon sharing the same land classification characteristics or 2) be given a land classification indicating its uniqueness in comparison with adjacent polygons. For errors that resulted from “Land Classes Must Not Overlap”, areas were identified that have more than one polygon. The overlapping area was merged with the most appropriate land class, thereby removing the overlap. 2014-01-01T00:00:00 GeoPlan downloaded this data on 9/9/2025 from: https://myfwc.com/research/gis/wildlife/cooperative-land-cover/ The following QAQC steps were taken: -converted to TIFF (using copy raster), set to 32 bit unsigned, nodata=0 (note: Nodata=0 decreases file size from 460MB to 400MB) -Source metadata was updated to match details on webpage: Cooperative Land Cover, Version 3.8 - Published December 2024 -Redefined project tool run to define CRS as EPSG = 3087 2025-09-10T00:00:00 Alexis Thomas UF GeoPlan Center This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology. This data is provided 'as is' by GeoPlan and is complete to our knowledge. GeoPlan relied on the integrity of the attribute information within the original data. This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan. This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan. 0 2028659 2 1 0 52652.496500 45555.784500 52652.496500 781585.784500 799592.496500 781585.784500 799592.496500 45555.784500 426122.496500 413570.784500 74694 10.000000 73603 10.000000 Band_1 32 1833121.000000 1110.000000 CLC_V3_8_STATE CLC_V3_8_STATE FWC, FNAI Table 73 OID OID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Value Value Integer 10 10 0 Corresponds to the Florida Land Cover Classification System class code Count Count Double 19 0 0 Number of cells associated with matching attribute information NAME_STATE NAME_STATE String 254 0 0 Classification name that corresponds directly with class code. <https://myfwc.com/media/20455/land-cover-classification-revision-2018.pdf>. FWC/FNAI Legend Legend Double 19 0 0 Trailing zeros were added to the SITE classification value to standardize class length for map symbology purposes. Area_Acres Area_Acres Double 19 0 0 Florida Fish and Wildlife Conservation Commission and Florida Natural Areas Inventory. 2021. Cooperative Land Cover version 3.5 Vector. 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