20231027082944001.0FALSECLC_V3_7_STATE.tif52652.496500799592.49650045555.784500781585.7845001file://F:\EST-COMMON-DATA\etdmpy\rasters\CLC_V3_7_STATE.tifLocal Area Network002ProjectedGCS_North_American_1983_HARNLinear Unit: Meter (1.000000)NAD_1983_HARN_Florida_GDL_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["NAD_1983_HARN_Florida_GDL_Albers",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",400000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-84.0],PARAMETER["Standard_Parallel_1",24.0],PARAMETER["Standard_Parallel_2",31.5],PARAMETER["Latitude_Of_Origin",24.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3087]]</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><WKID>3087</WKID><LatestWKID>3087</LatestWKID></ProjectedCoordinateSystem>32FALSELZW1TIFFTRUEdiscretesigned integer0202411271010430020251015160919001500000005000FGDCdatasetLand Cover MapFlorida Fish and Wildlife Conservation Commission-Fish and Wildlife Research InstituteLand Cover Maplandcovermap@MyFWC.comLand Cover MapLand Cover Map20251015ArcGIS Metadata1.00.000Florida Geographic Data Library (FGDL)Jonathan and Melanie Antevy Hall1480 Inner Road, Room 431PO Box 115706GainesvilleFL32611-5706UShttps://fgdl.org/info/contact/NoneDOWNLOADABLE DATAhttps://www.fgdl.org/Raster DatasetCooperative Land Cover v3.7 in Florida20223.6vector digital dataState of FloridaLand Cover MapFlorida Fish and Wildlife Conservation Commission-Fish and Wildlife Research InstituteLand Cover Maplandcovermap@MyFWC.comLand Cover MapThe 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.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 Comission (FWC) and Florida Natural Areas Inventory (FNAI).Land Cover MapFlorida Fish and Wildlife Conservation Commission-Fish and Wildlife Research InstituteLand Cover Maplandcovermap@MyFWC.comFWC PlaceFloridaFWC Themeland coverland coverFloridaData are intended to be used for general informational and planning purposes and not appropriate for legal, regulatory and/or cadastral purposesThe 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 restrictiontrue-87.639381-79.81357231.04264424.353590ground condition2008-01-01T00:00:002022-01-01T00:00:00Full reports are available from FWC upon request if not supplied with these data.Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.3.0.526361-87.639382-79.81360631.04266824.353591The 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.2010Aerial 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.2010Assemblage 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.2010Vector 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.Spatial and attribute informationfluccs_northwest_2006_07NWFWMD 2006 - 07 Land Use Land Cover2009-03-04Florida Department of Environmental Protection, Bureau of Watershed Restoration2006Spatial and attribute informationfluccs_suwannee_2005_08SRWMD 2005 - 2008 Land Use Land Cover2008Florida Department of Environmental Protection, Bureau of Watershed Restorationground condition20062008Spatial and attribute informationSJRWMD Land Use and Land Cover (2004)SJRWMD Land Use and Land Cover (2004)2006-11St. Johns River Water Management Districtground condition2004Spatial and attribute informationSFWMD 2004-05 Land Cover Land UseSFWMD 2004_05 LCLU2004Photo Science, Inc.2004Spatial and attribute informationSWFWMD 2008 Land Use Land CoverSWFWMD 2008 Land Use Land Cover2008Southwest Florida Water Management Districtground condition2008Spatial and attribute informationFNAI Natural Community Mapping Projects 2003 - 2010FNAI Natural Community Mapping Projects2010Florida Natural Areas Inventory (FNAI)ground condition2003Spatial and attribute informationEglin Air Force Base Land Cover MapEglin Air Force Base Land Cover Map1999Florida Natural Areas Inventory1997Spatial and attribute informationAvon Park Air Force Range Natural Vegetation CommunitiesAvon Park Air Force Range Natural Vegetation Communities1999Avon Park Air Force RangeData provided by Steve Orzell, APAFRground conditionSpatial and attribute informationSt. Marks National Wildlife Refuge HabitatsSt. Marks National Wildlife Refuge Habitats2009U. S. Fish and Wildlife ServiceData provided by Mike Keys, USFWS20042009Spatial and attribute informationFlint Rock Natural Community MapFlint Rock Natural Community Map2010Florida Natural Areas Inventoryground condition2010Spatial and attribute informationCape Canaveral Air Force Station Natural Community MapCape Canaveral Air Force Station Natural Community Map2009Florida Natural Areas InventoryGulledge, 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.2009Spatial and attribute informationLake Wales Ridge Vegetation MappingLake Wales Ridge Vegetation Mapping2002Archbold Biological Station; Florida Natural Areas Inventory; The Nature Conservancyground condition20002002Spatial and attribute informationArchbold Biological Station Vegetation MapArchbold Biological Station Vegetation Map1984Archbold Biological StationAbrahamson, 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 condition1984Spatial and attribute informationBig Pine Key Land CoverBig Pine Key Land Cover2009Hurricane Research Center at Florida International UniversityProject 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, FIUground condition2009Spatial and attribute informationNatural Forest Communities of Miami-Dade CountyNatural Forest Communities of Miami-Dade County2009Institute for Regional ConservationData provided by Keith Bradley, IRCground condition20052009Spatial and attribute informationUpland Glades Occurrence MapUpland Glades Occurrence Map2010Florida Natural Areas Inventoryground condition2007Spatial and attribute informationFlorida Park Service Natural Community MapsFlorida Park Service Natural Community Maps2009Florida Park ServiceData provided by Brady Harrison, FPSground condition19972009Spatial and attribute informationFlorida Forever Projects Field Assessment MapsFlorida Forever Projects Field Assessment Maps - 20192010Florida Natural Areas Inventoryground condition20012018Spatial and attribute informationKennedy Space Center Land Cover 2003Kennedy Space Center Land Cover2003on Schaub, Dynamac Corp. at KSCground condition2003Spatial and attribute informationSt. Johns River Water Management District Natural Community MapsSt. Johns River Water Management District Natural Community Maps2009St. Johns River Water Management DistrictData provided by J. B. Miller, SJRWMDground condition20042009Spatial and attribute informationNature Conservancy Preserves Vegetation MapsNature Conservancy Preserves Vegetation Maps2007The Nature ConservancyData provided by Kathy Freeman, TNC and David Printiss, TNCground condition19992007Spatial and attribute informationPalm Beach County Natural Areas Land coverPalm Beach County Natural Areas Land cover2007Palm Beach County, Environmental Resource ManagementData provided by Matt King, PBCground condition20032007Spatial and attribute informationNokuse Plantation Land CoverNokuse Plantation Land Cover2009Nokuse PlantationData 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 condition2009Spatial and attribute informationCharlotte County Parks Vegetation DataCharlotte County Parks Vegetation DataCharlotte CountyData provided by Bryon Catlin, Charlotte Coground conditionSpatial and attribute informationEverglades VegetationEverglades Vegetation1999University of Georgia; South Florida Natural Resources Center of Everglades National Park1999Spatial and attribute informationHistorical Natural Community Mapping ProjectsHistorical Natural Community Mapping Projects2010Florida Natural Areas Inventoryground condition20042010Spatial and attribute informationOcala National Forest Stands MapOcala National Forest Stands Map2010U. S. Forest ServiceData provided by Jason Drake, USFSground condition2010Used as ancillary dataFlorida Vegetation and Land CoverFlorida Vegetation and Land Cover2003Florida Fish and Wildlife Conservation Commissionground condition2003Used as ancillary dataDavid Breininger Scrub PolygonsDavid Breininger Scrub Polygons1999David BreiningerBreininger, 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 128:169-181.19941999Used as ancillary dataFlorida Keys Advanced Identification of Wetlands Land CoverFlorida Keys Advanced Identification of Wetlands Land Cover1991FWC/Florida Wildlife Research Instituteground condition1991Used as ancillary dataSarasota County Apoxsee Habitat LayerSarasota County Apoxsee Habitat Layer2007Earth Balance and Steve Sauers Environmental ManagementClark, J. and S. Sauers. 2008. Sarasota County Native Habitat Mapping and Risk Assessment. Sarasota County Natural Resources, Sarasota, Florida, USA.
Data provided by Sarasota Countyground condition2007Used as ancillary dataScrub Soils for Five Southwest CountiesScrub Soils for Five Southwest Counties2005QuestEcologyGordon, 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, QuestEcologyground condition2005Used as ancillary dataLake County Scrub-Jay Habitat SurveyLake County Scrub-Jay Habitat Survey2009Lake CountyData provided by Lauren Brothers, Lake Countyground condition2009Used as ancillary dataNatural Communities of Camp Blanding Military ReservationNatural Communities of Camp Blanding Military Reservation1993Florida Natural Areas Inventoryground condition1993Used as ancillary dataTate's Hell Historic VegetationTate's Hell Historic Vegetation2000Florida Natural Areas Inventory2000Used as ancillary dataStatewide Scrub-Jay HabitatStatewide Scrub-Jay Habitat1993Archbold Biological StationFitzpatrick, 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 condition19921993Spatial and attribute informationground condition2019Spatial and attribute information2019Spatial and attribute information2019Spatial and attribute information2019Spatial and attribute information2019Spatial and attribute information2019Spatial and attribute information2019Spatial and attribute information2019Spatial and attribute information2019Spatial and attribute information2019Spatial and Attribute InformationEdge Matching:
Following map classification, we conducted further visual inspection of classified areas for consistency, errors, and edge matching between assembled data sets.2014-01-01T00:00:00Topology:
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.2014-01-01T00:00:00GeoPlan downloaded this raster on 11/21/24 from the following website:
https://myfwc.com/research/gis/wildlife/cooperative-land-cover/
CLC_V3_7_STATE from File Geodatabase Raster to tiff (using clip raster).
2024-11-22T00:00:00This 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.0EPSG6.12(9.2.0)CLC_V3_7_STATECLC_V3_7_STATEFWC, FNAITable73OIDOIDOID400Internal feature number.EsriSequential unique whole numbers that are automatically generated.ValueValueInteger10100Number corresponding to Florida Land Cover Classification System <https://myfwc.com/media/20455/land-cover-classification-revision-2018.pdf>CountCountDouble1900Number of cells that correspond with classification NAME_STATENAME_STATEString25400Florida Land Cover Classification System class <https://myfwc.com/media/20455/land-cover-classification-revision-2018.pdf>Area_AcresArea_AcresDouble1900 Spatial calculationsESRILegendLegendDouble1900Trailing zeros were added to the SITE classification value to standardize class
length for map symbology purposesFlorida Fish and Wildlife Conservation Commission and Florida Natural Areas Inventory. 2021. Cooperative Land Cover version 3.5 Vector. Tallahassee, FL.21052652.496500 45555.78450052652.496500 781585.784500799592.496500 781585.784500799592.496500 45555.784500426122.496500 413570.7845007469410.0000007360310.000000Band_11833121.0000001110.00000032/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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=