26 datasets found
  1. Wetlands

    • geodata.dep.state.fl.us
    • hub.arcgis.com
    • +1more
    Updated Jun 27, 2023
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    Florida Department of Environmental Protection (2023). Wetlands [Dataset]. https://geodata.dep.state.fl.us/datasets/wetlands
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    Dataset updated
    Jun 27, 2023
    Dataset authored and provided by
    Florida Department of Environmental Protectionhttp://www.floridadep.gov/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This dataset (2012-2020) is a compilation of the Land Use/Land Cover datasets created by the 5 Water Management Districts in Florida based on imagery -- North West Florida Water Management District (NWFWMD) 2019, Suwannee River Water Management District (SRWMD) 2019-2020, St. John's River Water Management District (SJRWMD) 2013-2016, 2013 (Dec 2012 – Mar 2013) - Duval, Bradford, 2014 (Dec 2013 – Mar 2014) - Alachua, Baker, Clay, Flagler, Lake, Marion, Nassau, Osceola, Polk, Putnam, St. John’s, 2015 (Dec 2014 – Mar 2015) - Brevard, Indian River, Okeechobee, Seminole, Volusia, 2016 (Dec 2015 – Mar 2016) - Orange, South West Florida Water Management District (SWFWMD) 2020 and South Florida Water Management District (SFWMD) 2017-2019. Codes are derived from the Florida Land Use, Cover, and Forms Classification System (FLUCCS-DOT 1999) but may have been altered to accommodate region differences.

  2. a

    National Wetlands Inventory - Wetlands (Map Service)

    • mapdirect-fdep.opendata.arcgis.com
    • hub.arcgis.com
    Updated Aug 28, 2018
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    Florida Department of Environmental Protection (2018). National Wetlands Inventory - Wetlands (Map Service) [Dataset]. https://mapdirect-fdep.opendata.arcgis.com/maps/e32991682dd44b929d242b89a1398606
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    Dataset updated
    Aug 28, 2018
    Dataset authored and provided by
    Florida Department of Environmental Protection
    Area covered
    Description

    This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the United States and its Territories. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). The National Wetlands Inventory - Version 2, Surface Waters and Wetlands Inventory was derived by retaining the wetland and deepwater polygons that compose the NWI digital wetlands spatial data layer and reintroducing any linear wetland or surface water features that were orphaned from the original NWI hard copy maps by converting them to narrow polygonal features. Additionally, the data are supplemented with hydrography data, buffered to become polygonal features, as a secondary source for any single-line stream features not mapped by the NWI and to complete segmented connections. Wetland mapping conducted in WA, OR, CA, NV and ID after 2012 and most other projects mapped after 2015 were mapped to include all surface water features and are not derived data. The linear hydrography dataset used to derive Version 2 was the U.S. Geological Survey's National Hydrography Dataset (NHD). Specific information on the NHD version used to derive Version 2 and where Version 2 was mapped can be found in the 'comments' field of the Wetlands_Project_Metadata feature class. Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition. Contact the Service's Regional Wetland Coordinator for additional information on what types of farmed wetlands are included on wetland maps. This dataset should be used in conjunction with the Wetlands_Project_Metadata layer, which contains project specific wetlands mapping procedures and information on dates, scales and emulsion of imagery used to map the wetlands within specific project boundaries. Please reference the metadata for contact information.

  3. Natural, Cultural, and Historical Resources

    • geodata.dep.state.fl.us
    Updated Jun 27, 2023
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    Florida Department of Environmental Protection (2023). Natural, Cultural, and Historical Resources [Dataset]. https://geodata.dep.state.fl.us/maps/eced1debc5d54b19b556de516cace8cf
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    Dataset updated
    Jun 27, 2023
    Dataset authored and provided by
    Florida Department of Environmental Protectionhttp://www.floridadep.gov/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This group of layers was developed by the Balmoral Group and contains the natural, cultural, and historical resources critical assets layers for Florida as defined in 380.093(2)(a) Florida Statutes. The layers were sourced from various public State of Florida land use, Florida State Parks, State of Florida inventory of historical structures, and Federal Sources. Natural, cultural, and historical resources critical assets include conservation lands, parks, shorelines, surface waters, wetlands, and historical and cultural assets. Typically, the data are utilized in various vulnerability assessments in evaluating the exposure and sensitivity from combined events of sea level rise, precipitation, major storms, and flooding. The data will also be used in efforts to complete a comprehensive statewide assessment for the State of Florida.

  4. Wastewater to Wetlands Sites in Florida

    • arcgis.com
    • hub.arcgis.com
    • +1more
    Updated May 21, 2018
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    Florida Department of Environmental Protection (2018). Wastewater to Wetlands Sites in Florida [Dataset]. https://www.arcgis.com/sharing/oauth2/social/authorize?socialLoginProviderName=github&oauth_state=aOATwGxWnGu7SlsFFablvdQ..bypGPP5off5XcEGqnZ03zH55h4_rkxEURk7v2zXXPLJSz-M3HgoAZ_aW9dNnAeWpu-nQir4D4praqDX8THLWG2pMut3HkOIkHw0kICv-Pu3cMLweUln5yEHYnUklado7UQAIKulU70k7GYFSxUFGUNZWXumw6rseRD7-AGl0--27n-npqQA8bHSDyeUA_GcuTVLwKHdGoYVhes3N-5x75oG1OhVbqHBj0MASufHqguJ4lXt-sGZgNcNrABFgotT1Qo11rdeffBNnyQxiq8WNCPTij7QJ7cxMGs5Lrw9EjpITnmrgHbAyN5-1weWk1Pid4IGu8vxbxLt1OnLBkuRDKDuNCjzVSdE.
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    Dataset updated
    May 21, 2018
    Dataset authored and provided by
    Florida Department of Environmental Protectionhttp://www.floridadep.gov/
    Area covered
    Description

    Domestic wastewater facilities that are permitted for wastewater to wetland discharge in Florida. These facilities are regulated by the Florida Department of Environmental Protection Domestic Wastewater Program. This data is intended to be used for general informational and planning purposes. For questions pertaining to this map, please contact Diana Turner at diana.m.turner@dep.state.fl.us.

  5. Locally Provided Assets - PG

    • geodata.dep.state.fl.us
    • hub.arcgis.com
    • +1more
    Updated Jun 27, 2023
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    Florida Department of Environmental Protection (2023). Locally Provided Assets - PG [Dataset]. https://geodata.dep.state.fl.us/datasets/locally-provided-assets-pg
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    Dataset updated
    Jun 27, 2023
    Dataset authored and provided by
    Florida Department of Environmental Protectionhttp://www.floridadep.gov/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    The layer represents a static copy of the data compiled, analyzed, and incorporated from publicly available data from various local government entities and includes data obtained from vulnerability assessments submitted to the Department by local communities. Assets were classified across the four main asset groups: critical infrastructure, critical community and emergency facilities, natural, cultural, and historical resources, and transportation and evacuation routes. These groups are further defined in s. 380.093(2)(a), F.S. The data will also be used in efforts to complete a comprehensive statewide assessment for the State of Florida.

    Included Locally Relevant Environmental Datasets:

    1. Parks

    2. Conservation Lands

    3. Wetlands

    For any issues with this map, please contact Resilience@FloridaDEP.gov

  6. f

    Functional Wetlands FFCNA

    • geodata.fnai.org
    Updated Nov 17, 2025
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    Cossppgis (2025). Functional Wetlands FFCNA [Dataset]. https://geodata.fnai.org/datasets/6ac1f5c6e285451c810b578fa0fee6d3
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    Dataset updated
    Nov 17, 2025
    Dataset authored and provided by
    Cossppgis
    Description

    The Functional Wetlands dataset is based on wetlands identified in the Cooperative Land Cover Map v3.3. Functional wetlands are defined as those in a more natural state and the prioritization is based on overlap with a Land Use Intensity index and FNAI Potential Natural Areas. For more information see the Conservation Needs Assessment Technical Report: https://www.fnai.org/conslands/florida-forever. Value 1 = Priority 1 (Highest); Value 2 = Priority 2; Value 3 = Priority 3; Value 4 = Priority 4; Value 5 = Priority 5; Value 6 = Priority 6 Data download page This dataset was developed by Florida Natural Areas Inventory as part of the Florida Forever Conservation Needs Assessment, with support from the Florida Department of Environmental Protection.

  7. Mitigation Banks

    • maps-fdep.opendata.arcgis.com
    • geodata.dep.state.fl.us
    • +2more
    Updated Oct 28, 2014
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    Florida Department of Environmental Protection (2014). Mitigation Banks [Dataset]. https://maps-fdep.opendata.arcgis.com/datasets/mitigation-banks/explore?showTable=true
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    Dataset updated
    Oct 28, 2014
    Dataset authored and provided by
    Florida Department of Environmental Protectionhttp://www.floridadep.gov/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This is a statewide layer representing mitigation banks permitted under Ch. 373.4136, Florida Statutes. Florida mitigation bank information is important for wetland permit reviewers and developers that may need mitigation options. The layer can also serve to enhance information on conservation lands. Mitigation Banks may be permitted by DEP or a Water Management District, but are used by both agencies, creating the need for a statewide layer. Mitigation banking is a practice in which an environmental enhancement and preservation project is conducted by a public agency or private entity (banker) to provide mitigation for unavoidable wetland impacts within a defined region (represented in the Mitigation Banks Service Area layer). The bank is the site itself (this data layer), and the currency sold by the banker to the impact permittee is a credit, which represents the wetland ecological value equivalent to the complete restoration of one acre. The number of potential credits permitted for the bank and the credit debits required for impact permits are determined by the permitting agencies, and this information is provided in the data layer table. For more information on mitigation banking, go to https://floridadep.gov/water/submerged-lands-environmental-resources-coordination/content/mitigation-and-mitigation-banking

  8. Numeric Nutrient Criteria (NNC) - Narrative Nutrient Criteria Waters

    • geodata.dep.state.fl.us
    • maps-fdep.opendata.arcgis.com
    • +3more
    Updated Mar 4, 2015
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    Florida Department of Environmental Protection (2015). Numeric Nutrient Criteria (NNC) - Narrative Nutrient Criteria Waters [Dataset]. https://geodata.dep.state.fl.us/items/9530525599bb49bbbbee9d850d319cf9
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    Dataset updated
    Mar 4, 2015
    Dataset authored and provided by
    Florida Department of Environmental Protectionhttp://www.floridadep.gov/
    Area covered
    Description

    Waterbodies and waterbody segments for which the Department has determined that only the narrative nutrient criterion currently applies based on available data and information. This does not represent an exhaustive or complete list of such waters, only those waters where an affirmative demonstration has been made that one or more of the numeric nutrient criteria exemptions apply. The narrative water quality criteria for nutrients in paragraphs 62-302.530(47)(a) and (b), F.A.C., applies to all Class I, Class II, and Class III waters. This criterion has been numerically interpreted in 62-302.531, F.A.C., for the majority of the waterbodies in the State of Florida. However, only the narrative nutrient criterion is in effect for wetlands, tidal streams, non-perennial streams, and ditches, canals and other conveyances, or segments of conveyances that are man-made, or predominantly channelized, unless a site specific numeric interpretation has been established by the Department. Provisions for exempting a waterbody are provided in paragraphs 62-302.200(36)(a) and (b), F.A.C., and Section 62-302.532, F.A.C, and described in the document titled 'Implementation of Florida's Numeric Nutrient Standards', dated April 2013 (http://www.flrules.org/Gateway/reference.asp?No=Ref-02905).Until a Class I or III stream segment is identified as meeting the provisions in paragraphs 62-302.200(36)(a) or (b), F.A.C., the criteria in Rule 62-302.531(2)(c), F.A.C., will apply. Interested parties wishing to distinguish the characteristics of a waterbody with respect to provisions in paragraph 62-302.200(36), F.A.C., may provide the Department with the applicable information set forth in the stream definition. A clear delineation of the geographic boundaries of the segment in question is necessary so that the Department knows exactly where applicable criteria apply. Delineation of segment boundaries can include physical, biological, and chemical information, such as intersections of tributaries into a segment, control structures, the interface of wetlands, or other factors that indicate that the homogeneous physical, biological, or chemical condition of the segment would change at the boundary. Only narrative nutrient criteria apply to wetlands or to tidal tributaries that fluctuate between predominantly marine and predominantly fresh waters during typical climatic and hydrologic conditions unless specifically provided by name in subsection 62-302.532(1), F.A.C. The determination of whether a segment is tidally influenced can be made using either chloride or specific conductance data that were collected during typical hydrologic conditions, taking into account tidal cycles and seasonal and climatic variability. The information (continuous or frequent grab sampling data) that demonstrates changing salinity conditions during a typical tidal cycle is necessary for the Department to establish that a segment is exempt from numeric nutrient criteria under the tidal creek provisions. Please reference the metadata for contact information.

  9. Numeric Nutrient Criteria (NNC) - Stream Nutrient Regions

    • geodata.dep.state.fl.us
    • maps-fdep.opendata.arcgis.com
    • +2more
    Updated Mar 4, 2015
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    Florida Department of Environmental Protection (2015). Numeric Nutrient Criteria (NNC) - Stream Nutrient Regions [Dataset]. https://geodata.dep.state.fl.us/datasets/numeric-nutrient-criteria-nnc-stream-nutrient-regions
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    Dataset updated
    Mar 4, 2015
    Dataset authored and provided by
    Florida Department of Environmental Protectionhttp://www.floridadep.gov/
    Area covered
    Description

    As part of the analyses conducted to derive nutrient standards for streams, the Department evaluated the available nutrient data for regional differences and ultimately developed a regionalization criteria for the stream nutrient standards. Nutrient Watershed Regions are drainage areas over which the stream nutrient thresholds in paragraph 62-302.531(2)(c), F.A.C., apply.For purposes of interpreting the numeric nutrient criteria (NNC) in paragraph 62-302.530(47)(b), F.A.C., under paragraph 62-302.531(2)(c), F.A.C., a “stream” is defined as a predominantly fresh surface waterbody with perennial flow in a defined channel with banks during typical climatic and hydrologic conditions for its region within the state. During periods of drought, portions of a stream channel may exhibit a dry bed, but wetted pools are typically still present during these conditions. Streams do not include: (a) non-perennial water segments where fluctuating hydrologic conditions, including periods of desiccation, typically result in the dominance of wetland and/or terrestrial taxa (and corresponding reduction in obligate fluvial or lotic taxa), wetlands, or portions of streams that exhibit lake characteristics (e.g., long water residence time, increased width, or predominance of biological taxa typically found in non-flowing conditions), or tidally influenced segments that fluctuate between predominantly marine and predominantly fresh waters during typical climatic and hydrologic conditions; or (b) ditches, canals and other conveyances, or segments of conveyances, that are man-made, or predominantly channelized or predominantly physically altered; and 1) are primarily used for water management purposes, such as flood protection, stormwater management, irrigation, or water supply; and 2) have marginal or poor stream habitat or habitat components, such as a lack of habitat or substrate that is biologically limited, because the conveyance has cross sections that are predominantly trapezoidal, has armored banks, or is maintained primarily for water conveyance. The NNC Implementation Document (http://www.flrules.org/Gateway/reference.asp?No=Ref-02905) provides additional information describing the information and data needed to determine the applicable freshwater criteria (i.e., stream, springs, lakes, or narrative).

  10. a

    NWI Wetland Codes

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Aug 28, 2018
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    Florida Department of Environmental Protection (2018). NWI Wetland Codes [Dataset]. https://hub.arcgis.com/datasets/FDEP::nwi-wetland-codes/geoservice
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    Dataset updated
    Aug 28, 2018
    Dataset authored and provided by
    Florida Department of Environmental Protection
    Area covered
    Description

    This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the United States and its Territories. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). The National Wetlands Inventory - Version 2, Surface Waters and Wetlands Inventory was derived by retaining the wetland and deepwater polygons that compose the NWI digital wetlands spatial data layer and reintroducing any linear wetland or surface water features that were orphaned from the original NWI hard copy maps by converting them to narrow polygonal features. Additionally, the data are supplemented with hydrography data, buffered to become polygonal features, as a secondary source for any single-line stream features not mapped by the NWI and to complete segmented connections. Wetland mapping conducted in WA, OR, CA, NV and ID after 2012 and most other projects mapped after 2015 were mapped to include all surface water features and are not derived data. The linear hydrography dataset used to derive Version 2 was the U.S. Geological Survey's National Hydrography Dataset (NHD). Specific information on the NHD version used to derive Version 2 and where Version 2 was mapped can be found in the 'comments' field of the Wetlands_Project_Metadata feature class. Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition. Contact the Service's Regional Wetland Coordinator for additional information on what types of farmed wetlands are included on wetland maps. This dataset should be used in conjunction with the Wetlands_Project_Metadata layer, which contains project specific wetlands mapping procedures and information on dates, scales and emulsion of imagery used to map the wetlands within specific project boundaries. Please reference the metadata for contact information.

  11. a

    Florida Cooperative Land Cover (Raster)

    • mapdirect-fdep.opendata.arcgis.com
    Updated Nov 1, 2022
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    Florida Fish and Wildlife Conservation Commission (2022). Florida Cooperative Land Cover (Raster) [Dataset]. https://mapdirect-fdep.opendata.arcgis.com/documents/9b791b9269f14caea04d995f8fbe6a14
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    Dataset updated
    Nov 1, 2022
    Dataset authored and provided by
    Florida Fish and Wildlife Conservation Commission
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    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.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, SWFWMDCLC 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 does not include some of the small keys between Key West and Marquesas.Changes from Version 3.0 to Version 3.1: CLC v3.1 includes several new site specific data sources: Revised FNAI natural community maps for 31 WMAs, and 6 Florida Forever areas or proposals. This data was either extracted from v2.3, or from more recent mapping efforts. Domains have been removed from the attribute table, and a class name field has been added for SITE and STATE level classes. The Dry Tortugas have been reincorporated. The geographic extent has been revised for the Coastal Upland and Dry Prairie classes. Rural Open and the Extractive classes underwent a more thorough reviewChanges from Version 3.1 to Version 3.2:CLC v3.2 includes several new site specific data sources: Revised FNAI natural community maps for 43 Florida Park Service lands, and 9 Florida Forever areas or proposals. This data is from 2014 - 2016 mapping efforts. SITE level class review: Wet Coniferous plantation (2450) from v2.3 has been included in v3.2. Non-Vegetated Wetland (2300), Urban Open Land (18211), Cropland/Pasture (18331), and High Pine and Scrub (1200) have undergone thorough review and reclassification where appropriate. Other classification errors were opportunistically corrected as found or as reported by users to landcovermap@myfwc.com. Changes from Version 3.2.5 to Version 3.3: The CLC v3.3 includes several new site specific data sources: Revised FNAI natural community maps for 14 FWC managed or co-managed lands, including 7 WMA and 7 WEA, 1 State Forest, 3 Hillsboro County managed areas, and 1 Florida Forever proposal. This data is from the 2017 – 2018 mapping efforts. Select sites and classes were included from the 2016 – 2017 NWFWMD (FLUCCS) dataset. M.C. Davis Conservation areas, 18331x agricultural classes underwent a thorough review and reclassification where appropriate. Prairie Mesic Hammock (1122) was reclassified to Prairie Hydric Hammock (22322) in the Everglades. All SITE level Tree Plantations (18333) were reclassified to Coniferous Plantations (183332). The addition of FWC Oyster Bar (5230) features. Other classification errors were opportunistically corrected as found or as reported by users to landcovermap@myfwc.com, including classification corrections to sites in T.M. Goodwin and Ocala National Forest. CLC v3.3 utilizes the updated The Florida Land Cover Classification System (2018), altering the following class names and numbers: Irrigated Row Crops (1833111), Wet Coniferous Plantations (1833321) (formerly 2450), Major Springs (4131) (formerly 3118). Mixed Hardwood-Coniferous Swamps (2240) (formerly Other Wetland Forested Mixed).Changes from Version 3.4 to Version 3.5: The CLC v3.5 includes several new site specific data sources: Revised FNAI natural community maps for 16 managed areas, and 10 Florida Forever Board of Trustees Projects (FFBOT) sites. This data is from the 2019 – 2020 mapping efforts. Other classification errors were opportunistically corrected as found or as reported by users to landcovermap@myfwc.com. This version of the CLC is also the first to include land identified as Salt Flats (5241).Changes from Version 3.5 to 3.6: The CLC v3.6 includes several new site specific data sources: Revised FNAI natural community maps for 11 managed areas, and 24 Florida Forever Board of Trustees Projects (FFBOT) sites. This data is from the 2018 – 2022 mapping efforts. Other classification errors were opportunistically corrected as found or as reported by users to landcovermap@myfwc.com. Changes from Version 3.6 to 3.7: The CLC 3.7 includes several new site specific data sources: Revised FNAI natural community maps for 5 managed areas (2022-2023). Revised Palm Beach County Natural Areas data for Pine Glades Natural Area (2023). Other classification errors were opportunistically corrected as found or as reported by users to landcovermap@myfwc.com. In this version a few SITE level classifications are reclassified for the STATE level classification system. Mesic Flatwoods and Scrubby Flatwoods are classified as Dry Flatwoods at the STATE level. Upland Glade is classified as Barren, Sinkhole, and Outcrop Communities at the STATE level. Lastly Upland Pine is classified as High Pine and Scrub at the STATE level.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

  12. a

    WETLANDS PY

    • mapdirect-fdep.opendata.arcgis.com
    • grsm-nps.opendata.arcgis.com
    • +1more
    Updated May 10, 2025
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    National Park Service (2025). WETLANDS PY [Dataset]. https://mapdirect-fdep.opendata.arcgis.com/maps/nps::wetlands-py
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    Dataset updated
    May 10, 2025
    Dataset authored and provided by
    National Park Service
    Area covered
    Description

    This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the Great Smoky Mountains National Park. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). Certain wetland habitats may be excluded from this mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. This dataset should be used in conjunction with the Wetlands Project Metadata layer, which contains project specific wetlands mapping procedures and information on dates, scales and emulsion of imagery used to map the wetlands within specific project boundaries.The corresponding Integration of Resource Management Applications (IRMA) NPS Data Store reference is Great Smoky Mountains National Park Wetlands.

  13. a

    Indian River Lagoon (IRL) Seagrass

    • mapdirect-fdep.opendata.arcgis.com
    • hub.arcgis.com
    Updated Mar 13, 2017
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    SJRWMDGeospatialSolutions (2017). Indian River Lagoon (IRL) Seagrass [Dataset]. https://mapdirect-fdep.opendata.arcgis.com/maps/50003891254a4f40877a4928a9cb2603
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    Dataset updated
    Mar 13, 2017
    Dataset authored and provided by
    SJRWMDGeospatialSolutions
    Area covered
    Description

    Open Data geospatial content of the St Johns River Water Management District (SJRWMD). Environmental datasets for various mapping projects including Indian River Lagoon (IRL) seagrass mapping. Additional documentation is available via either zip or xml\html.

    Most current report https://data-floridaswater.opendata.arcgis.com/documents/132323d82e604e6795a0d3e17b7a29f1web map https://data-floridaswater.opendata.arcgis.com/maps/182e3fb3deeb4f24ab63ebce2ac211e2

    Related PDF Reports for historic cycles are available as .zip packages. Each cycle is zipped separately. Copy and paste this Ftp link into Windows File Explorer to access those reports: ftp://secure.sjrwmd.com/disk3/wetlands/IRL_Seagrass/

    Individual historic dataset metadata links are available as follows:https://secure.sjrwmd.com/docs/metadata/2021_Seagrass.xml

    https://secure.sjrwmd.com/docs/metadata/2019_Seagrass.xmlhttps://secure.sjrwmd.com/docs/metadata/2017_Seagrass.xmlhttps://secure.sjrwmd.com/docs/metadata/2015_Seagrass.htmlhttps://secure.sjrwmd.com/docs/metadata/2013_Seagrass.htmlhttps://secure.sjrwmd.com/docs/metadata/2011_Seagrass.htmlhttps://secure.sjrwmd.com/docs/metadata/2009_Seagrass.htmlhttps://secure.sjrwmd.com/docs/metadata/2007_Seagrass.htmlhttps://secure.sjrwmd.com/docs/metadata/2005_Seagrass.htmlhttps://secure.sjrwmd.com/docs/metadata/2003_Seagrass.htmlhttps://secure.sjrwmd.com/docs/metadata/2001_Seagrass.htmlhttps://secure.sjrwmd.com/docs/metadata/1999_Seagrass.htmlhttps://secure.sjrwmd.com/docs/metadata/1996_Seagrass.htmlhttps://secure.sjrwmd.com/docs/metadata/1994_Seagrass.htmlhttps://secure.sjrwmd.com/docs/metadata/1992_Seagrass.htmlhttps://secure.sjrwmd.com/docs/metadata/1989_Seagrass.htmlhttps://secure.sjrwmd.com/docs/metadata/1986_Seagrass.htmlhttps://secure.sjrwmd.com/docs/metadata/1943_Seagrass.html

  14. a

    GRSM WETLANDS MAXENT

    • mapdirect-fdep.opendata.arcgis.com
    • grsm-nps.opendata.arcgis.com
    Updated Apr 5, 2025
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    National Park Service (2025). GRSM WETLANDS MAXENT [Dataset]. https://mapdirect-fdep.opendata.arcgis.com/maps/nps::grsm-wetlands-maxent
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    Dataset updated
    Apr 5, 2025
    Dataset authored and provided by
    National Park Service
    Area covered
    Description

    I&M Staff in conjunction with a University of Tennessee graduate student developed maximum entropy (specifically the program MaxEnt) distribution models to predict wetland occurrence. Because MaxEnt is able to account for interactions among landscape features and climate variables, it is an ideal modeling approach for predicting the probability of finding a wetland across the park’s complex topography. Model outputs were based on 24 environmental variables (e.g., slope, microtopography, rainfall, etc.) at a 30x30 m grid cell resolution.The corresponding Integration of Resource Management Applications (IRMA) NPS Data Store reference is Great Smoky Mountains National Park Wetlands MaxEnt Model.

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    SFWMD LCLU 2017 2019

    • mapdirect-fdep.opendata.arcgis.com
    • geo-sfwmd.hub.arcgis.com
    • +2more
    Updated Jul 20, 2018
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    South Florida Water Management District (2018). SFWMD LCLU 2017 2019 [Dataset]. https://mapdirect-fdep.opendata.arcgis.com/maps/sfwmd::sfwmd-lclu-2017-2019
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    Dataset updated
    Jul 20, 2018
    Dataset authored and provided by
    South Florida Water Management Districthttps://www.sfwmd.gov/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This data set serves as documentation of land cover and land use (LCLU) within the South Florida Water Management District as it existed in 2017-19. Land Cover Land Use data was updated from 2014-16 LCLU by photo-interpretation from 2017-19 aerial photography and classified using the SFWMD modified FLUCCS classification system. Features were interpreted from the county-based aerial photography (4 in - 2 ft pixel), see imagery year in the "AERIAL DATE" field. The features were updated on screen from the 2014-16 vector data. Horizontal accuracy of the data corresponds to the positional accuracy of the county aerial photography. The minimum mapping unit for classification was 0.5 acres for wetlands and 5 acres for uplands. This data is partial and is not considered complete until the entire SFWMD has been completed.

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    USACE SAJ-111 Regulatory Permit Review, SJRWMD

    • mapdirect-fdep.opendata.arcgis.com
    • data-floridaswater.opendata.arcgis.com
    • +1more
    Updated Jun 23, 2016
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    SJRWMDGeospatialSolutions (2016). USACE SAJ-111 Regulatory Permit Review, SJRWMD [Dataset]. https://mapdirect-fdep.opendata.arcgis.com/maps/506e0c45dded4b87bf66b41ef4c6a83b
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    Dataset updated
    Jun 23, 2016
    Dataset authored and provided by
    SJRWMDGeospatialSolutions
    Area covered
    Description

    Graphic representation of particular datasets designated for USACE Programmatic General Permit (PGP) SAJ-111 Regulatory Permit Review.

    Some of these datasets were acquired from the U.S. Army Corps of Engineers (USACE), U. S. Fish and Wildlife Service (USFWS) or originated with the SJRWMD for use in Programmatic General Permit (PGP) assessment by district staff. Mitigation Banks Service Areas is an SJRWMD-managed dataset.U.S. Army Corps of Engineers permits administered by the districtSAJ-111In October 2014, USACE issued a Programmatic General Permit (PGP) that authorizes the district to issue a permit on behalf of USACE for certain types of projects with relatively minor impacts to wetlands or surface waters. This authorization is limited to residential, commercial or institutional projects with up to 3 acres of impacts to low quality or urbanized non-tidal wetlands of the following four types: 1) wetlands in pine plantations with raised beds in production over 20 years, 2) herbaceous wetlands in improved pasture, 3) wetlands on parcels bordered by at least 75 percent development, and 4) wetlands covered by greater than 80 percent invasive exotic vegetation.Supporting documentation from Permitting documents for St. Johns River Water Management District (sjrwmd.com)SAJ-111 Permit InstrumentSAJ-111 Permit ChecklistUSACE Preliminary Wetland Jurisdictional Determination FormUSACE Wetland Determination Form — Atlantic and Gulf Coastal Plain RegionSAJ-111 geographic information system layer (this)Presentation on Programmatic General Permit SAJ-111 Delegation, January 2015

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    Tidal Flats in Florida

    • mapdirect-fdep.opendata.arcgis.com
    • geodata.myfwc.com
    • +3more
    Updated Jan 1, 2009
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    Florida Fish and Wildlife Conservation Commission (2009). Tidal Flats in Florida [Dataset]. https://mapdirect-fdep.opendata.arcgis.com/datasets/myfwc::tidal-flats-in-florida
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    Dataset updated
    Jan 1, 2009
    Dataset authored and provided by
    Florida Fish and Wildlife Conservation Commission
    Area covered
    Description

    Tidal flats are non-vegetated areas of sand or mud protected from wave action and composed primarily of mud transported by tidal channels. An important characteristic of the tidal flat environment is its alternating tidal cycle of submergence and exposure to the atmosphere. This GIS data set was created to show a statewide representation of unvegetated tidal flats, compiled from the best available sources. The sources included individual seagrass mapping studies and National Wetlands Inventory (NWI) data for Florida. The NWI was ERASEd using more recent data sources that showed some areas were indeed vegetated. See Source Information for more details on how each source was used.

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    Kissimmee River Floodplain Vegetation (2020)

    • mapdirect-fdep.opendata.arcgis.com
    • geo-sfwmd.hub.arcgis.com
    • +2more
    Updated Nov 10, 2016
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    South Florida Water Management District (2016). Kissimmee River Floodplain Vegetation (2020) [Dataset]. https://mapdirect-fdep.opendata.arcgis.com/maps/sfwmd::kissimmee-river-floodplain-vegetation-2020
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    Dataset updated
    Nov 10, 2016
    Dataset authored and provided by
    South Florida Water Management District
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This polygon feature class defines the extent and type of vegetation in Restoration Phases I II, and III of the Kissimmee River Floodplain circa August / September 2020. Vegetation data were compiled at a scale of 1:8,000 from color infrared (CIR) aerial photography.The objective of this project was to produce spatially and thematically accurate maps of the vegetation as depicted in August / September 2020 aerial images and to store data in a means that will allow immediate and future evaluation of vegetation communities. These data were compiled for South Florida Water Management District (SFWMD) as part of the Kissimmee River Restoration Evaluation Program (KRREP) to document vegetation response to the Kissimmee River Restoration Project.Plant communities were mapped using the Kissimmee River Restoration Evaluation Program's (KRREP) Vegetation Classification System (VCS) and Guidebook.Vegetation Mapping Guide 2009Historically, the Kissimmee River meandered approximately 103 miles from Lake Kissimmee to Lake Okeechobee, through a 1-3 mile wide floodplain. The river and its flanking floodplain were comprised of a mosaic of wetland plant communities and supported a diverse group of waterfowl, wading birds, fish, and other wildlife (Toth 1993, Toth et al. 1995).The Ecological Basis of the Kissimmee River Restoration PlanRestoration Ecology 1995Between 1962 and 1971, to prevent catastrophic flooding, the river was transformed into a 56 mile long, 30-foot-deep drainage canal that passed through 6 water control structures. The dam like structures created a series of 5 impoundments or pools that were held at stable levels to function as navigational steps between the two lakes and as reservoirs for the regulation of flow. Unintended impacts to the ecosystem included drainage of two-thirds of floodplain wetlands and drastic declines in wintering waterfowl, wading bird, and game fish populations as well as a general loss of wetland functions and values (Toth 1995).

  19. a

    Kissimmee Chain of Lakes Littoral Vegetation - 2012

    • mapdirect-fdep.opendata.arcgis.com
    • floridagio.gov
    • +3more
    Updated Sep 11, 2018
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    South Florida Water Management District (2018). Kissimmee Chain of Lakes Littoral Vegetation - 2012 [Dataset]. https://mapdirect-fdep.opendata.arcgis.com/datasets/19a9fc7928a6471289456c3e75a917fb
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    Dataset updated
    Sep 11, 2018
    Dataset authored and provided by
    South Florida Water Management Districthttps://www.sfwmd.gov/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This dataset serves as documentation of vegetation in the littoral zones around Lake Kissimmee, Lake Tohopekaliga, Florida using digital aerial photography. The Vegetation communities were mapped using digital aerial imagery acquired from an Intergraph DMC Sensor in April of 2012. Mapping was accomplished through the use of SocetSet Stereo workstations and Esri software supplimented with fieldwork. Each distinct community of emergent and floating vegetation was mapped according to the Florida Land Use, Cover and Forms Classification System (FLUCCS).

  20. a

    Stormwater Treatment Area (STA) - Vegetation (2012)

    • mapdirect-fdep.opendata.arcgis.com
    • hub.arcgis.com
    Updated Apr 12, 2012
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    South Florida Water Management District (2012). Stormwater Treatment Area (STA) - Vegetation (2012) [Dataset]. https://mapdirect-fdep.opendata.arcgis.com/maps/sfwmd::stormwater-treatment-area-sta-vegetation-2012
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    Dataset updated
    Apr 12, 2012
    Dataset authored and provided by
    South Florida Water Management Districthttps://www.sfwmd.gov/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    For file geodatabase download,Click Here. The South Florida Water Management District (District or SFWMD) and the U.S. Army Corps of Engineers have built six large treatment wetlands, referred to as Stormwater Treatment Wetlands (STAs), in the Everglades Agricultural Area (EAA) as part of a State and Federal initiative to protect the Everglades (Chimney and Goforth, 2001; Sklar et al., 2005). These treatment wetlands are intended to reduce high phosphorus concentrations in surface runoff coming from the EAA before this water reaches the northern portion of the present-day Everglades, i.e., the Water Conservations Areas. Each STA is subdivided into a number of treatment cells by interior levees. Treatment wetlands reduce the concentration of water-borne pollutants through natural bio-geochemical processes (Kadlec and Wallace, 2009). Wetland biogeochemistry, in turn, is intimately associated with the extent and condition of the wetland’s vegetation community (Reddy and DeLaune, 2009). Because of the important relationship between wetland treatment performance and vegetation, the vegetation communities in the STAs have been monitored throughout their operational histories. This effort was mandated as a condition of STA operating permits and by the Process Development and Engineering section of the District’s Long Term Plan (Burns & McDonnell, 2003). The vegetation communities in the STAs have been monitored using two different approaches: (1) vegetation maps were prepared for each STA based on the spatial distribution of different vegetation types interpreted from aerial photographs and (2) field surveys were conducted at a network of sites within each wetland to catalog plant taxa and assess vegetation areal coverage of the dominant taxa. The field-survey program was initiated as a cost-effective alternative to mapping for characterizing the plant community.For information about the imagery collection access this file: 2012 Imagery Collection in STAsFor details how the data was processed see the Lineage section.

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Florida Department of Environmental Protection (2023). Wetlands [Dataset]. https://geodata.dep.state.fl.us/datasets/wetlands
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Wetlands

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Dataset updated
Jun 27, 2023
Dataset authored and provided by
Florida Department of Environmental Protectionhttp://www.floridadep.gov/
License

MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically

Area covered
Description

This dataset (2012-2020) is a compilation of the Land Use/Land Cover datasets created by the 5 Water Management Districts in Florida based on imagery -- North West Florida Water Management District (NWFWMD) 2019, Suwannee River Water Management District (SRWMD) 2019-2020, St. John's River Water Management District (SJRWMD) 2013-2016, 2013 (Dec 2012 – Mar 2013) - Duval, Bradford, 2014 (Dec 2013 – Mar 2014) - Alachua, Baker, Clay, Flagler, Lake, Marion, Nassau, Osceola, Polk, Putnam, St. John’s, 2015 (Dec 2014 – Mar 2015) - Brevard, Indian River, Okeechobee, Seminole, Volusia, 2016 (Dec 2015 – Mar 2016) - Orange, South West Florida Water Management District (SWFWMD) 2020 and South Florida Water Management District (SFWMD) 2017-2019. Codes are derived from the Florida Land Use, Cover, and Forms Classification System (FLUCCS-DOT 1999) but may have been altered to accommodate region differences.

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