78311 Data Set Published / External 78059 Florida Panhandle ESI, 2024 Project Completed 2025-09 This data set contains vector polygons and lines representing coastal hydrography used in the creation of the Environmental Sensitivity Index (ESI) for Florida Panhandle. This data set comprises a portion of the ESI data for Florida. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. See also the HYDROL data layer, part of the larger Florida Panhandle ESI database, for additional ESI information. The ESI data provide sensitive areas data for oil spill planning and response and other environmental management and natural resource purposes. The Clean Water Act with amendments by the Oil Pollution Act of 1990 requires response plans for immediate and effective protection of sensitive areas. These data also support other related state and federal regulatory requirements for oil spill prevention, planning, response, and restoration. Theme ISO 19115 Topic Category biota Theme ISO 19115 Topic Category environment Theme Coastal Zone Management Theme Coastal resources Theme Environmental Monitoring,ESI Theme Oil spill planning Theme Sensitivity maps Theme Wildlife Theme biota Theme environment Spatial Florida Data Set Map (digital) Data Steward 2025-09 Position ESI Program Manager orr.esi@noaa.gov 7600 Sand Point Way NE Seattle WA 98115 Distributor 2025-09 Organization Office of Response and Restoration ORR https://ror.org/03g5tqa50 1305 East-West Highway Silver Spring MD 20910 https://response.restoration.noaa.gov/ ORR Home Page Online Resource Metadata Contact 2025-09 Position ESI Program Manager orr.esi@noaa.gov 7600 Sand Point Way NE Seattle WA 98115 -87.53319 -83.69784 30.77393 29.54792 Range 2022 2023 The data were compiled during 2021-2023. The currentness dates for this data range from 2022 to 2023 and are documented in the Lineage section. Geographic 2D EPSG:4269 NAD83 North American Datum 1983 GRS 1980 6378137 298.257222101 1 Geodetic Latitude Lat degree north 1 Geodetic Latitude Lat degree north 2 Geodetic Longitude Lon degree east 2 Geodetic Longitude Lon degree east Custom Unclassified Although these data have been processed successfully on a computer system at the National Oceanic and Atmospheric Administration, no warranty, expressed or implied, is made by NOAA regarding the utility of the data on any other system, nor shall the act of distribution constitute any such warranty. NOAA warrants the delivery of this product in computer-readable format, and will offer a replacement copy of the product when the product is determined unreadable by computer input peripherals, or when the physical medium is delivered in damaged condition. https://response.restoration.noaa.gov/esi 2025-09 Organization Office of Response and Restoration https://ror.org/03g5tqa50 Data access URL ESRI File Geodatabase A multi-stage error checking process is used to verify both attribute accuracy and logical consistency throughout data production. The process includes a standardized data entry methodology, data review by in-house and external resource experts, a final Quality Assurance/Quality Control (QA/QC) process, and multiple automated logical consistency checks. Quantitative data (such as densities, counts, abundances, or concentrations) provided by resource experts for inclusion in the data set may vary widely in attribute accuracy, depending upon the methodology used to collect and compile such data. For a more detailed evaluation of source data attribute accuracy, contact the sources listed in the Lineage section. The attribute accuracy is estimated to be 'good' given the years of ESI experience, the data input methodology, the quality control review sessions, and the digital logical consistency checks. Spatial components for the biological data layers can come from expert interviews, hardcopy, or digital sources. Some of the spatial components of the biological data layers may have been developed using regional experts who estimate concentration areas. It is difficult to estimate the positional accuracy of such data, except to state that they are compiled on hardcopy base maps with a scale of 1:24,000. Some of the spatial components of the biological data sets are developed from pre-existing digital or hardcopy sources and reflect the positional accuracy of these original data. Note that biological resource data by their very nature are considered "fuzzy", and this should be understood when considering the positional accuracy of vector digital objects representing these resources. See the Lineage and Process_Description sections for more information on the original source data and how these data were integrated or manipulated to create the final data set. These data represent a synthesis of digital data on SAV, hardbottom, and Sargassum distribution. See also the BENTHICPT data layer, part of the larger Florida Panhandle ESI database, for additional benthic information. These data do not necessarily represent all benthic occurrences in Florida Panhandle. The following species are included in this data set: (Species_ID, Common Name, Scientific Name [n/a if not applicable]): 253, Hardbottom reef, n/a; 317, Sargassums, Sargassum spp.; 609, Submerged aquatic vegetation, n/a. A multi-stage error checking process, described in the above Attribute_Accuracy_Report, is used to verify both attribute accuracy and logical consistency throughout data production. This process includes multiple automated logical consistency checks that test the files for missing or duplicate data, rules for proper coding, GIS topological consistencies, and SQL SERVER(R) to ArcGIS(R) consistencies. A final review is made by the ESI manager, where the data are written to CD-ROM and the metadata are written. RARNUM's are defined on an element basis, so 'resources at risk' groupings will contain only a single element. For full lineage source details, please see metadata xml file in the distribution download file. 1 The shoreline and classifications were partially updated using the following sources and methods. Florida Panhandle shorelines from the 2012 ESI edition that were not updated in the 2021 ESI edition were evaluated for positional accuracy and corrected, if necessary, with a combination of National Oceanic and Atmospheric Administration (NOAA) Continually Updated Shoreline Product (CUSP, 2007-2021), Northwest Florida Water Management District (NWFWMD) Land Cover and Land Use dataset (2019), Suwannee River Water Management District (SRWMD) Land Cover and Land Use dataset (2019-2020), and Florida Fish and Wildlife Commission (FWC) 3-inch resolution orthophotography. The most recent and/or highest quality shoreline was utilized where available. The intertidal shoreline habitats that were not classified in the 2021 ESI edition were accessed and reclassified, if necessary, based on FWC 3-inch resolution orthophotography (2023), FWC 6-inch resolution orthophotography (2023), Microsoft Bing Maps low-altitude oblique aerial Birds Eye View photography, and Environmental Systems Research Institute (ESRI) Basemap World Imagery. Shoreline features of 5 meters or greater in length were classified where discernible. The above digital and/or hardcopy sources were compiled to create the HYDROP data layer. Depending on the type of source data, four general approaches are used for compiling the data layer: 1) hardcopy maps are digitized at their source scale; 2) digital data layers are evaluated and used "as is" or integrated with the other data sources; 3) overflight classifications are digitized from the scanned and registered hardcopy field maps; and/or 4) classifications are interpreted from oblique gps referenced photography or video taken during the overflights. After the initial shoreline classification, these data are edgematched and checked for logical consistency errors. Review maps are plotted at 1:24,000 scale for verification of polygonal and linear attributes. See the Lineage section for additional information on the type of source data for this data layer. The ESI, biology, and human-use data are compiled into the standard ESI digital data format. A second set of interviews with participating resource experts are conducted to review the compiled data. If necessary, edits to the HYDROP data layer are made based on the recommendations of the resource experts, and final hardcopy maps and digital data are created. 2023-06-01T00:00:00 Organization Florida Fish & Wildlife Conservation Commission FWC-FWRI 100 Eighth Avenue Southeast St. Petersbug FL 33701 USA (727)-896-8626 http://research.myfwc.com 8:00 am - 5:00 pm EST gov.noaa.nmfs.inport:78311 Adam Rotert 2025-09-30T19:25:10 SysAdmin InPortAdmin 2026-03-04T19:17:18 2025-09-30 Office of Response and Restoration ORR 1002 Public No No 2025-09-30 1 Year 2026-09-30