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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
Cooperative Land Cover v4.0 in Florida
2022-11-01T00:00:00
2025-04-30T00:00:00
4.01
20250615
Land Cover Map
Florida Fish and Wildlife Conservation Commission-Fish and Wildlife Research Institute
landcovermap <landcovermap@MyFWC.com>
landcovermap@MyFWC.com
Jon Oetting
Florida Natural Areas Inventory
Chief of Conservation Planning Services
joetting@fnai.fsu.edu
State of Florida
<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. The Cooperative Land Cover Map integrates 3 primary data types: 1) 6 million acres are derived from local or site-specific data sources, primarily on existing conservation lands. Most of these sources have a ground-truth or local knowledge component. We collected land cover and vegetation data from 37 existing sources. Each dataset was evaluated for consistency and quality and assigned a confidence category that determined how it was integrated into the final land cover map. 2) 1.4 million acres are derived from areas that FNAI ecologists reviewed with high resolution aerial photography. These areas were reviewed because other data indicated some potential for the presence of a focal community: scrub, scrubby flatwoods, sandhill, dry prairie, pine rockland, rockland hammock, upland pine or mesic flatwoods. 3) 3.2 million acres are represented by Florida Land Use Land Cover data from the FL Department of Environmental Protection and Water Management Districts (FLUCCS). The Cooperative Land Cover Map integrates data from the following years: NWFWMD: 2006 - 07 SRWMD: 2005 - 08 SJRWMD: 2004 SFWMD: 2004 SWFWMD: 2008 All data were crosswalked into the Florida Land Cover Classification System. This project was funded by a grant from FWC/Florida's Wildlife Legacy Initiative (Project 08009) to Florida Natural Areas Inventory. The current dataset is provided in 10m raster grid format.</SPAN></P><P><SPAN>Changes from Version 3.7 to 4.0: CLC 4.0 represents a major update to CLC performed cooperatively by FWC and FNAI via a State Wildlife Grant to address changes on the landscape such as conversion to development and to integrate other recent high quality land cover sources. CLC v4.0 includes FWC's comprehensive delineation of solar farms, FLUCCS updates based on aerial photos from 2017-2022, ground-truthed mapping from FNAI and Florida Park Service, a statewide update of Intensive Development from Google Dynamic World land cover as of 2024, and additional FNAI review and revisions of target classes including sand beach and beach dune. A complete description of updates is available in the Cooperative Land Cover version 4.0 report, available from FNAI or FWC. FInal edits were added by FWC reflecting additional solar farms and FNAI Natural Community surveys for 17 conservation areas; classification errors were opportunistically corrected as found or as reported by users to landcovermap@myfwc.com.</SPAN></P></DIV></DIV></DIV>
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).
Land Cover Map
Florida Fish and Wildlife Conservation Commission-Fish and Wildlife Research Institute
Land Cover Map
landcovermap@MyFWC.com
Jon Oetting
Florida Natural Areas Inventory
Chief of Conservation Planning Services
joetting@fnai.fsu.edu
FWC Place
Florida
FWC Theme
land cover
Florida
land cover
<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. Additionally due to the inconsistencies in available aerial imagery and resource limitations the entire state is not reclassified on a regular time interval; therefore the authors of this data do not recommend comparing previous CLC iterations to denote any temporal changes in land use / landcover.</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 Pro 3.4
false
-87.639381
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24.35359
31.042644
Full report for version 3.0 is available from FWC upon request if not supplied with these data. Full report for version 4.0 is available from FNAI or FWC upon request.
1
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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) Perimeter 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 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
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
Assemblage of Data Sources into Final Map: The 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
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
Sliver removal: Rules were established remove small sliver polygons (see report for all rules). All polygons <0.01 acres that were not existing oyster bars, were merged (by process of the eliminate tool) into their largest neighbor. Topology rules, using a tolerance of 0.5 following the FWC standard for CLC, were applied to prevent gaps and overlaps.
2025-06-15T00:00:00
Changes from Version 4.0 to 4.01, 4.02: CLC 4.01 includes minor changes, primarily clean-up of small sliver polygons. CLC 4.02 was set to match the CLC 3.8 extent, and resolved multi-part polygons into single part.
2025-08-07T00:00:00
Downloaded on on 12/2/25 from https://myfwc.com/research/gis/wildlife/cooperative-land-cover/
Converted to TIFF (using copy raster), set to 32 bit unsigned. 2 new values (Mesic Flatwoods, Scrubby Flatwoods).
2025-12-03T00:00:00
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.
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8.2.10(10.3.1)
CLC_V4_0_STATE
Table
75
CLC_V4_0_STATE
Florida Land Use Cover and Forms Classification
OID
OID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Value
Value
Integer
10
10
0
Number corresponding to Florida Land Cover Classification System
Count
Count
Double
19
0
0
Number of cells that correspond with classification
NAME_STATE
NAME_STATE
String
254
0
0
Florida Land Cover Classification System class
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
Acres
Band_1
32
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