FWC-FWRI 20140630 Version 3.0 raster digital data CLC_2012JAN_dsslv_MultipartT http://myfwc.com/research/gis/applications/articles/fl-land-cover-classification/ Edition Date: 20141101 Suggested citation: Florida Fish and Wildlife Conservation Commission and Florida Natural Areas Inventory. 2014. Cooperative Land Cover version3.0 Raster - State Classes. Tallahassee, FL. 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 photograpy. 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 Intiative (Project 08009) to Florida Natural Areas Inventory. The current dataset is provided in 10m raster grid format. Changes from Version 1.1 to Version 2.3:CLC v2.3 includes updated Florida Land Use Land Cover for four water management districts as described above: NWFWMD, SJRWMD, SFWMD, SWFWMD CLC v2.3 incorporates major revisions to natural coastal land cover and natural communities potentially affected by sea level rise. These revisions were undertaken by FNAI as part of two projects: Re-evaluating Florida's Ecological Conservation Priorities in the Face of Sea Level Rise (funded by the Yale Mapping Framework for Biodiversity Conservation and Climate Adaptation) and Predicting and Mitigating the Effects of Sea-Level Rise and Land Use Changes on Imperiled Species and Natural communities in Florida (funded by an FWC State Wildlife Grant and The Kresge Foundation). FNAI also opportunistically revised natural communities as needed in the course of species habitat mapping work funded by the Florida Department of Environmental Protection. CLC v2.3 also includes several new site specific data sources: New or revised FNAI natural community maps for 13 conservation lands and 9 Florida Forever proposals; new Florida Park Service maps for 10 parks; Sarasota County Preserves Habitat Maps (with FNAI review); Sarasota County HCP Florida Scrub-Jay Habitat (with FNAI Review); Southwest Florida Scrub Working Group scrub polygons. Several corrections to the crosswalk of FLUCCS to FLCS were made, including review and reclassification of interior sand beaches that were originally crosswalked to beach dune, and reclassification of upland hardwood forest south of Lake Okeechobee to mesic hammock. Representation of state waters was expanded to include the NOAA Submerged Lands Act data for Florida. Changes from Version 2.3 to 3.0: All land classes underwent revisions to correct boundaries, mislabeled classes, and hard edges between classes. Vector data was compared against high resolution Digital Ortho Quarter Quads (DOQQ) and Google Earth imagery. Individual land cover classes were converted to .KML format for use in Google Earth. Errors identified through visual review were manually corrected. Statewide medium resolution (spatial resolution of 10 m) SPOT 5 images were available for remote sensing classification with the following spectral bands: near infrared, red, green and short wave infrared. The acquisition dates of SPOT images ranged between October, 2005 and October, 2010. Remote sensing classification was performed in Idrisi Taiga and Erdas Imagine. Supervised and unsupervised classifications of each SPOT image were performed with the corrected polygon data as a guide. Further visual inspections of classified areas were conducted for consistency, errors, and edge matching between image footprints. CLC v3.0 now includes state wide Florida NAVTEQ transportation data. CLC v3.0 incorporates extensive revisions to scrub, scrubby flatwoods, mesic flatwoods, and upland pine classes. An additional class, scrub mangrove – 5252, was added to the crosswalk. Mangrove swamp was reviewed and reclassified to include areas of scrub mangrove. CLC v3.0 also includes additional revisions to sand beach, riverine sand bar, and beach dune previously misclassified as high intensity urban or extractive. CLC v3.0 excludes the Dry Tortugas and also does not include some of the small keys between Key West and Marquesas. 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. Full reports for version 3.0 are available from FWC upon request if not supplied with these data. Data sources that contribute to the Cooperative Land Cover Map are described in the following report: Florida Natural Areas Inventory, 2010. Development of a Cooperative Land Cover Map: Final Report (available from FNAI upon request). A supplementary feature class that identifies individual data sources that contribute to the map is available from FNAI upon request (Data_Sources_CLC_v1_1). A supplementary feature class that contains only the focal natural communities that were revised for the Cooperative Land Cover Map is available upon request from FNAI (Focal_NC_Map_CLC_v1_1). en ground condition 2008 2011 In work Continually FWC Theme land cover habitat natural community vegetation Florida Land Cover Classification System Florida Land Cover and Forms Classification System FWC Place Florida User land use/land cover None Florida Available without restriction Data are intended to be used for general informational and planning purposes and not appropriate for legal, regulatory and/or cadastral purposes Data compiled from multiple sources by Florida Fish and Wildlife Conservation Comission (FWC) and Florida Natural Areas Inventory (FNAI). ESRI ArcCatalog 9.3.1, 10.1 Raster Florida Fish and Wildlife Conservation Commission-Fish and Wildlife Research Institute Land Cover Map Land Cover Map mailing and physical address

Fish and Wildlife Research Institute

620 S. Meridian St 5B6

Tallahassee FL 32399 850-488-0588 850-410-5269 landcovermap@MyFWC.com -87.639382 -79.813502 31.042668 24.353588 Classification accuracy varies among data sources that contribute to the map. Metadata related to accuracy were not available for all sources. Some data sources were field verified. Most data were created through interpretation of aerial photography and other ancillary information. A classification accuracy assessment was completed in 2014 as part of continued improvements to the data. Logically consistent. All attribute values fall within defined values Visually inspected for completeness to ensure all values fell within speciified ranges and all pixel cells were classified. Horizontal accuracy is not better than the source imagery upon which individual source datasets were developed. Most source imagery is from two primary sources: 1) Florida's Ortho program imagery at 1 foot resolution; that meets or exceeds a verified horizontal accuracy of 7.6 feet at the 95% confidence interval (4.4 feet RMSE) as specified in the FGDC Geospatial Positioning Accuracy Standards, Part 3: National Standard for Spatial Data Accuracy (NSSDA). 2) USGS's 3.75 minute Digital Ortho Quarter Quad (DOQQ) program imagery which meets National Map Accuracy Standards for products developed at 1:12K scale which specifies that over "90% of well defined points tested must fall within 33 feet" of ground condition and National Aerial Photography Program Standards. None 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 acreswas 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 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 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 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. Not complete 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. Not complete Edge Matching: Following map classification, we conducted further visual inspection of classified areas for consistency, errors, and edge matching between assembled data sets. 2014 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 NWFWMD 2006 - 07 Land Use Land Cover ground condition 2006 2007 Florida Department of Environmental Protection, Bureau of Watershed Restoration 20090304 vector digital data Spatial and attribute information SRWMD 2005 - 2008 Land Use Land Cover ground condition 2006 2008 Florida Department of Environmental Protection, Bureau of Watershed Restoration 2008 Spatial and attribute information vector digital data SJRWMD Land Use and Land Cover (2004) ground condition 2004 St. Johns River Water Management District 200611 Spatial and attribute information vector digital data SFWMD 2004_05 LCLU ground condition 2004 Photo Science, Inc. 2004 Spatial and attribute information vector digital data SWFWMD 2008 Land Use Land Cover ground condition 2008 Southwest Florida Water Management District 2008 Spatial and attribute information vector digital data FNAI Natural Community Mapping Projects ground condition 2003 2010 Florida Natural Areas Inventory (FNAI) 2010 Spatial and attribute information vector digital data Eglin Air Force Base Land Cover Map ground condition 1997 Florida Natural Areas Inventory 1999 Spatial and attribute information vector digital data Avon Park Air Force Range Natural Vegetation Communities ground condition 1999 Avon Park Air Force Range Data provided by Steve Orzell, APAFR 1999 Spatial and attribute information vector digital data St. Marks National Wildlife Refuge Habitats 2004 2009 ground condition U. S. Fish and Wildlife Service Data provided by Mike Keys, USFWS 2009 Spatial and attribute information vector digital data Flint Rock Natural Community Map ground condition 2010 Florida Natural Areas Inventory 2010 Spatial and attribute information vector digital data Cape Canaveral Air Force Station Natural Community Map ground condition 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 vector digital data Lake Wales Ridge Vegetation Mapping ground condition 2000 2002 Archbold Biological Station; Florida Natural Areas Inventory; The Nature Conservancy 2002 Spatial and attribute information vector digital data Archbold Biological Station Vegetation Map ground condition 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. 1984 Spatial and attribute information vector digital data Big Pine Key Land Cover ground condition 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 2009 Spatial and attribute information vector digital data Natural Forest Communities of Miami-Dade County ground condition 2005 2009 Institute for Regional Conservation Data provided by Keith Bradley, IRC 2009 Spatial and attribute information vector digital data Upland Glades Occurrence Map ground condition 2007 Florida Natural Areas Inventory 2010 Spatial and attribute information vector digital data Florida Park Service Natural Community Maps ground condition 1997 2009 Florida Park Service 2009 Data provided by Brady Harrison, FPS Spatial and attribute information vector digital data Florida Forever Projects Field Assessment Maps ground condition 2001 2010 Florida Natural Areas Inventory 2010 Spatial and attribute information vector digital data Kennedy Space Center Land Cover ground condition 2003 on Schaub, Dynamac Corp. at KSC 2003 Spatial and attribute information vector digital data St. Johns River Water Management District Natural Community Maps 2004 2009 ground condition St. Johns River Water Management District Data provided by J. B. Miller, SJRWMD 2009 Spatial and attribute information vector digital data Nature Conservancy Preserves Vegetation Maps ground condition 1999 2007 The Nature Conservancy Data provided by Kathy Freeman, TNC and David Printiss, TNC 2007 Spatial and attribute information vector digital data Palm Beach County Natural Areas Land cover 2003 2007 ground condition Palm Beach County, Environmental Resource Management Data provided by Matt King, PBC 2007 Spatial and attribute information vector digital data Nokuse Plantation Land Cover ground condition 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. 2009 Spatial and attribute information vector digital data Charlotte County Parks Vegetation Data ground condition unknown Charlotte County Data provided by Bryon Catlin, Charlotte Co Unknown Spatial and attribute information vector digital data Everglades Vegetation ground condition 1999 University of Georgia; South Florida Natural Resources Center of Everglades National Park 1999 Spatial and attribute information vector digital data Historical Natural Community Mapping Projects ground condition 2004 2010 Florida Natural Areas Inventory 2010 Spatial and attribute information vector digital data Ocala National Forest Stands Map unknown 2010 ground condition U. S. Forest Service Data provided by Jason Drake, USFS 2010 Spatial and attribute information vector digital data Florida Vegetation and Land Cover Used as ancillary data 2003 ground condition Florida Fish and Wildlife Conservation Commission 2003 vector digital data David Breininger Scrub Polygons Used as ancillary data ground condition 1994 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. 1999 vector digital data Florida Keys Advanced Identification of Wetlands Land Cover Used as ancillary data ground condition 1991 FWC/Florida Wildlife Research Institute 1991 vector digital data Sarasota County Apoxsee Habitat Layer Used as ancillary data ground condition 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 2007 vector digital data Scrub Soils for Five Southwest Counties Used as ancillary data ground condition 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 2005 paper Lake County Scrub-Jay Habitat Survey Used as ancillary data 2009 ground condition Lake County Data provided by Lauren Brothers, Lake County 2009 vector digital data Natural Communities of Camp Blanding Military Reservation Used as ancillary data ground condition 1993 Florida Natural Areas Inventory 1993 vector digital data Tate's Hell Historic Vegetation Used as ancillary data Florida Natural Areas Inventory 2000 vector digital data 2000 ground condition Statewide Scrub-Jay Habitat 1992 1993 ground condition 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. 1993 Used as ancillary data paper Raster Pixel 73603 74695 1 10.000000 10.000000 32 Upper Left FALSE LZ77 1 pixel codes FGDBR TRUE row and column 10.000000 10.000000 meters D_North_American_1983_HARN Geodetic Reference System 80 6378137.000000 298.257222 GCS_North_American_1983_HARN Custom 0.000100 Explicit elevation coordinate included with horizontal coordinates http://myfwc.com/research None. However, persons or organizations requesting information must provide transfer media if FTP is not available and must pay express shipping costs if express shipping is required. Contact GIS Librarian by e-mail, telephone, or letter explaining which products are needed and providing a brief description of how the products will be used. Also, provide name and address of the person or organization requesting the products. Usually within 10 business days, although, complex requests may take longer 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. Contact GIS Librarian None Florida Fish and Wildlife Conservation Commission-Fish and Wildlife Research Institute GIS Librarian GIS Data Librarian mailing and physical address

Fish and Wildlife Research Institute

620 S. Meridian St 5B6

Tallahassee Florida 32399 850-488-0588 850-410-5269 GISRequests@MyFWC.com 20141028 FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile en Florida Fish and Wildlife Conservation Commission-Fish and Wildlife Research Institute GIS Librarian GIS Data Librarian mailing and physical address

1018 Thomasville Rd, Suite 200-C

Tallahassee FL 32303 850-488-0588 850-410-5269 GISRequests@MyFWC.com 20140623 10394600 FALSE 20250913 11171700 20251015 16144100 CLC_V3_0_STATE.tif 002 52652.496500 799602.496500 45555.784100 781585.784100 1 Projected GCS_North_American_1983_HARN Linear Unit: Meter (1.000000) FDEP_Albers_HARN <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/3.5.0'><WKT>PROJCS[&quot;FDEP_Albers_HARN&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 FGDC CSDGM Metadata 150000000 5000 FGDC 1.0 Esri ArcGIS 13.5.3.57366 Cooperative Land Cover v3.0 Raster - State Classes 51872.4003 798394.275 781608.2411 56746.2472 1 -87.647558 -79.826142 31.042871 24.454872 1 1 -87.639382 -79.813502 31.042668 24.353588 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. <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 STYLE="margin:0 0 7 0;"><SPAN>Changes from Version 2.3 to 3.0: All land classes underwent revisions to correct boundaries, mislabeled classes, and hard edges between classes. Vector data was compared against high resolution Digital Ortho Quarter Quads (DOQQ) and Google Earth imagery. Individual land cover classes were converted to .KML format for use in Google Earth. Errors identified through visual review were manually corrected.</SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN /></P><P STYLE="margin:0 0 0 0;"><SPAN>Statewide medium resolution (spatial resolution of 10 m) SPOT 5 images were available for remote sensing classification with the following spectral bands: near infrared, red, green and short wave infrared. The acquisition dates of SPOT images ranged between October, 2005 and October, 2010. Remote sensing classification was performed in Idrisi Taiga and Erdas Imagine.</SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN /></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>Supervised and unsupervised classifications of each SPOT image were performed with the corrected polygon data as a guide. Further visual inspections of classified areas were conducted for consistency, errors, and edge matching between image footprints. </SPAN></SPAN></P><P STYLE="margin:0 0 7 0;"><SPAN>CLC v3.0 now includes state wide Florida NAVTEQ transportation data. </SPAN></P><P STYLE="margin:0 0 7 0;"><SPAN>CLC v3.0 incorporates extensive revisions to scrub, scrubby flatwoods, mesic flatwoods, and upland pine classes. </SPAN></P><P STYLE="margin:0 0 7 0;"><SPAN>An additional class, scrub mangrove – 5252, was added to the crosswalk. Mangrove swamp was reviewed and reclassified to include areas of scrub mangrove.</SPAN></P><P STYLE="margin:0 0 7 0;"><SPAN>CLC v3.0 also includes additional revisions to sand beach, riverine sand bar, and beach dune previously misclassified as high intensity urban or extractive.</SPAN></P><P STYLE="margin:0 0 7 0;"><SPAN>CLC v3.0 excludes the Dry Tortugas and also does not include some of the small keys between Key West and Marquesas.</SPAN></P><P /><P><SPAN /></P></DIV></DIV></DIV> Data compiled from multiple sources by Florida Fish and Wildlife Conservation Comission (FWC) and Florida Natural Areas Inventory (FNAI). Land Cover Habitat Natural Community Vegetation Florida Land Cover Classification System Florida Land Cover and Forms Classification System <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> dataset 002 withheld Local Area Network File Geodatabase Feature Class Raster Custom 1307936 2 1 0 52652.496500 45555.784100 52652.496500 781585.784100 799602.496500 781585.784100 799602.496500 45555.784100 426127.496500 413570.784100 74695 10.000000 73603 10.000000 20251015 Table 78 This data set represents the updated land use and land cover for the state of Florida. FWC, FNAI VAT_CLC_v3_0_State OID OID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. LC_NUM Corresponds to the Florida Land Cover Classification System class code FWC, FNAI LC_NUM Integer 10 10 0 Integer LC_NAME LC_NAME String 50 0 0 FWC, FNAI Text Corresponds to the Florida Land Cover Classification System class name Value ESRI Integer Corresponds to the Florida Land Cover Classification System class code Value Integer 10 10 0 Count Cell Values ESRI Automatically generated. Count Double 19 0 0 Area_Acres Spatial calculations ESRI Calculated value Area_Acres Double 19 0 0 Band_1 32 /9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDAREA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD27n0o 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