100+ datasets found
  1. d

    Upper Florida Keys 1930s-2002 Seafloor Elevation Stability Models, Maps, and...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Upper Florida Keys 1930s-2002 Seafloor Elevation Stability Models, Maps, and Tables [Dataset]. https://catalog.data.gov/dataset/upper-florida-keys-1930s-2002-seafloor-elevation-stability-models-maps-and-tables
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Florida Keys, Florida
    Description

    The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) conducted research to identify areas of seafloor elevation stability and instability based on elevation changes between the 1930’s and 2002 in the Upper Florida Keys (UFK) from Triumph Reef to Pickles Reef within a 234.2 square-kilometer area. USGS SPCMSC staff used seafloor elevation-change data from Yates and others (2017a) derived from an elevation-change analysis between two elevation datasets acquired in the 1930’s and 2001/2002 using the methods of Yates and others (2017b). Most of the elevation data from the 2001/2002 time period were collected during 2002, so as an abbreviated naming convention, we refer to this time period as 2002. A seafloor stability threshold was determined for the 1930’s-2002 UFK elevation-change dataset based on the vertical uncertainty of the 1930’s historical hydrographic surveys and 2002 digital elevation models (DEMs). Five stability categories (which include, Stable: 0.0 meters (m) to ±0.24 m or 0.0 m to ±0.49 m; Moderately stable: ±0.25 m to ±0.49 m; Moderately unstable: ±0.50 m to ±0.74 m; Mostly unstable: ±0.75 m to ±0.99 m; and Unstable: ±1.00 m to Max/Min elevation change) were created and used to define levels of stability and instability for each elevation-change value (25,982 data points) based on the amount of erosion and accretion during the 1930’s to 2002 time period. Seafloor-stability point and triangulated irregular network (TIN) surface models were created at five different elevation-change data resolutions (1st order through 5th order) with each resolution becoming increasingly more detailed. The stability models were used to determine the level of seafloor stability at potential areas of interest for coral restoration and 13 habitat types found in the UFK. Stability surface (TIN) models were used for areas defined by specific XY geographic points, while stability point models were used for areas defined by bounding box coordinate locations. This data release includes ArcGIS map packages containing the binned and color-coded stability point and surface (TIN) models, potential coral restoration locations, and habitat files; maps of each stability model; and data tables containing stability and elevation-change data for the potential coral restoration locations and habitat types. Data were collected under Florida Keys National Marine Sanctuary permit FKNMS-2016-068.

  2. Elevations Contours and Depression

    • geodata.dep.state.fl.us
    • hub.arcgis.com
    • +1more
    Updated Jan 1, 1950
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    Florida Department of Environmental Protection (1950). Elevations Contours and Depression [Dataset]. https://geodata.dep.state.fl.us/items/b5542800e51e4985a0c7cf3729ccd227
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    Dataset updated
    Jan 1, 1950
    Dataset authored and provided by
    Florida Department of Environmental Protectionhttp://www.floridadep.gov/
    Area covered
    Description

    This dataset was created to represent the land surface elevation at 1:24,000 scale for Florida. The elevation contour lines representing the land surface elevation were digitized from United States Geological survey 1:24,000 (7.5 minute) quadrangles and were compiled by South Florida, South West Florida, St. Johns River and Suwannee River Water Management Districts and FDEP. QA and corrections to the data were supplied by the Florida Department of Environmental Protection's Florida Geological Survey and the Division of Water Resource Management. This data, representing over 1,000 USGS topographic maps, spans a variety of contour intervals including 1 and 2 meter and 5 and 10 foot. The elevation values have been normalized to feet in the final data layer. Attributes for closed topographic depressions were also captured where closed (hautchered) features were identified and the lowest elevation determined using the closest contour line minus one-half the contour interval. This data was derived from the USGS 1:24,000 topographic map series. The data is more than 20 years old and is likely out-of-date in areas of high human activity.

  3. f

    Upper Floridan Aquifer Potentiometric Surface

    • geodata.floridagio.gov
    • geodata.dep.state.fl.us
    • +2more
    Updated Jul 16, 2014
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    Florida Department of Environmental Protection (2014). Upper Floridan Aquifer Potentiometric Surface [Dataset]. https://geodata.floridagio.gov/datasets/FDEP::upper-floridan-aquifer-potentiometric-surface/api
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    Dataset updated
    Jul 16, 2014
    Dataset authored and provided by
    Florida Department of Environmental Protection
    Area covered
    Description

    IMPORTANT IN THE OPEN DATA PORTAL THERE IS ONE FEATURE CLASS FOR ALL POTENTIOMETRIC SURFACE MAPS. IF YOU WANT JUST ONE TIME PERIOD CLICK ON THE TABLE TAB, THEN CLICK ON THE DATE FIELD. IN THE FILTER BOX ON THE RIGHT ENTER THE MAP YOU WANT (MAY 2000, SEPTEMBER 2015, ETC.). WHEN YOU CLICK THE DOWNLOAD DATASET BUTTON SELECT SPREADSHEET OR KML OR SHAPEFILE UNDER THE FILTERED DATASET OPTION. YOU WILL ONLY GET THE FILTERED DATA FROM THIS DOWNLOAD.Contour lines are created for the potentiometric surface of the upper Floridan aquifer from water level data submitted by the water management districts. The points associated with the water level data are added to Geostatistical Analyst and ordinary kriging is used to interpolate water level elevation values between the points. The Geostatistical Analyst layer is then converted to a grid (using GA Layer to grid tool) and then contour lines (using the Contour tool). Post editing is done to smooth the lines and fix areas that are hydrologically incorrect. The rules established for post editing are: 1) rivers intersecting the UFA follow the rule of V’s; 2) potentiometric surface contour line values don’t exceed the topographic digital elevation model (DEM) in unconfined areas; and 3) potentiometric surface contour lines don’t violate valid measured water level data. Errors are usually located where potentiometric highs are adjacent to potentiometric lows (areas where the gradient is high). Expert knowledge or additional information is used to correct the contour lines in these areas. Some additional data may be river stage values in rivers that intersect the Floridan aquifer or land elevation in unconfined areas. Contour lines created prior to May 2012 may be calculated using a different method. The potentiometric surface is only meant to describe water level elevation based on existing data for the time period measured. The contour interval for the statewide map is 10 feet and is not meant to supersede regional (water management district) or local (city) scale potentiometric surface maps.

  4. d

    Single-Beam derived bathymetric contours of Florida Bay, Florida (1995-1999)...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Nov 1, 2024
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    U.S. Geological Survey (2024). Single-Beam derived bathymetric contours of Florida Bay, Florida (1995-1999) in ESRI shapefile format [Dataset]. https://catalog.data.gov/dataset/single-beam-derived-bathymetric-contours-of-florida-bay-florida-1995-1999-in-esri-shapefil
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    Dataset updated
    Nov 1, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Florida Bay, Florida Bay, Florida
    Description

    Land development and alterations of the ecosystem in South Florida have decreased freshwater and increased nutrient flows into Florida Bay. As a result, there has been a decrease in the water quality of the bay; the decline in water quality has prompted sea grass die-offs and has led to reduced fish populations. Restoration of water quality in Florida Bay will depend partly upon using numerical-circulation and sediment-transport models to establish water-quality targets and to assess progress toward reaching restoration targets. Application of these models is complicated, however, because of complex sea-floor topography (basin-mudbank morphology). The only complete topography data set of the Bay is 100 years old. Consequently, an accurate and modern sea-floor or bathymetry map of the Bay was critical for numerical modeling research. A modern bathymetry data set will also permit a comparison to historical data in order to help access sedimentation rates within the Bay. The U.S. Geological Survey USGS conducted a mapping project from 1995 to 1999 in the Florida Bay to collect new bathymetric data for the entire bay. This study produced a detailed bathymetric data set of Florida Bay in order to help assess sedimentation rates and provide numerical modelers with an accurate bathymetry map. This report serves as an archive of processed single-beam bathymetry data that were collected in Florida Bay, Florida over multiple cruises between 1995 and 1999. Geographic information system data products include a XYZ data, bathymetric contours, and USGS quadrangle maps. Additional files include formal Federal Geographic Data Committee metadata.

  5. K

    Escambia County, Florida Contours

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated May 8, 2019
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    Escambia County, Florida (2019). Escambia County, Florida Contours [Dataset]. https://koordinates.com/layer/101141-escambia-county-florida-contours/
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    dwg, geopackage / sqlite, geodatabase, kml, pdf, mapinfo mif, csv, mapinfo tab, shapefileAvailable download formats
    Dataset updated
    May 8, 2019
    Dataset authored and provided by
    Escambia County, Florida
    Area covered
    Description

    Geospatial data about Escambia County, Florida Contours. Export to CAD, GIS, PDF, CSV and access via API.

  6. K

    Lake County, Florida Contour Lines

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated May 7, 2019
    + more versions
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    Lake County, Florida (2019). Lake County, Florida Contour Lines [Dataset]. https://koordinates.com/layer/100949-lake-county-florida-contour-lines/
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    kml, mapinfo tab, geopackage / sqlite, mapinfo mif, geodatabase, dwg, csv, shapefile, pdfAvailable download formats
    Dataset updated
    May 7, 2019
    Dataset authored and provided by
    Lake County, Florida
    Area covered
    Description

    Geospatial data about Lake County, Florida Contour Lines. Export to CAD, GIS, PDF, CSV and access via API.

  7. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
    Updated Jan 17, 2017
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    U.S. Geological Survey, National Geospatial Technical Operations Center (2017). ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/a03febf1b0b546b193d6837a7c8b3fa2/html
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    Dataset updated
    Jan 17, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Description

    Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

  8. d

    Florida Reef Tract 1930s-2016 Seafloor Elevation Stability Models, Maps, and...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Florida Reef Tract 1930s-2016 Seafloor Elevation Stability Models, Maps, and Tables [Dataset]. https://catalog.data.gov/dataset/florida-reef-tract-1930s-2016-seafloor-elevation-stability-models-maps-and-tables
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Florida
    Description

    The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) conducted research to identify areas of seafloor elevation stability and instability based on elevation changes between the 1930’s and 2016 along the Florida Reef Tract (FRT) from Miami to Key West within a 982.4 square-kilometer area. USGS SPCMSC staff used seafloor elevation-change data from Yates and others (2021) derived from an elevation-change analysis between two elevation datasets acquired in the 1930’s and 2016/2017 using the methods of Yates and others (2017). Most of the elevation data from the 2016/2017 time period were collected during 2016, so as an abbreviated naming convention, we refer to this time period as 2016. A seafloor stability threshold was determined for the 1930’s-2016 FRT elevation-change dataset based on the vertical uncertainty of the 1930’s historical hydrographic surveys and 2016 digital elevation models (DEMs). Five stability categories (which include, Stable: 0.0 meters (m) to ±0.24 m or 0.0 m to ±0.49 m; Moderately stable: ±0.25 m to ±0.49 m; Moderately unstable: ±0.50 m to ±0.74 m; Mostly unstable: ±0.75 m to ±0.99 m; and Unstable: ±1.00 m to Max/Min elevation change) were created and used to define levels of stability and instability for each elevation-change value (85,253 data points) based on the amount of erosion and accretion during the 1930’s to 2016 time period. Seafloor-stability point and triangulated irregular network (TIN) surface models were created at five different elevation-change data resolutions (1st order through 5th order) with each resolution becoming increasingly more detailed. In order to view the stability models at a larger extent, the stability point and surface (TIN) models were divided into four sub-regions: Biscayne Bay, Upper Key, Middle Keys, and Lower Keys. The stability models were used to determine the level of seafloor stability at potential areas of interest for coral restoration and 14 habitat types found along the FRT. Stability surface (TIN) models were used for areas defined by specific XY geographic points, while stability point models were used for areas defined by bounding box coordinate locations. This data release includes ArcGIS map packages containing the binned and color-coded stability point and surface (TIN) models, potential coral restoration locations, habitat files, and sub-region boundaries; maps of each stability model at full extent and for each sub-region; and data tables containing stability and elevation-change data for the potential coral restoration locations and habitat types. Data were collected under Florida Keys National Marine Sanctuary permit FKNMS-2016-068. Coral restoration locations were provided by Mote Marine Laboratory under Special Activity License SAL-18-1724-SCRP.

  9. a

    USGS Topo Maps (Map Service)

    • hub.arcgis.com
    Updated Dec 1, 2009
    + more versions
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    Florida Department of Environmental Protection (2009). USGS Topo Maps (Map Service) [Dataset]. https://hub.arcgis.com/datasets/FDEP::usgs-topo-maps-map-service
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    Dataset updated
    Dec 1, 2009
    Dataset authored and provided by
    Florida Department of Environmental Protection
    Area covered
    Description

    This map presents land cover and detailed topographic maps for the United States. The map includes the National Park Service (NPS) Natural Earth physical map at 1.24km per pixel for the world at small scales, i-cubed eTOPO 1:250,000-scale maps for the contiguous United States at medium scales, and National Geographic TOPO! 1:100,000 and 1:24,000-scale maps (1:250,000 and 1:63,000 in Alaska) for the United States at large scales. The TOPO! maps are seamless, scanned images of United States Geological Survey (USGS) paper topographic maps. Please reference the metadata for contact information.

  10. a

    Upper Floridan Aquifer Potentiometric Surface September 2017

    • mapdirect-fdep.opendata.arcgis.com
    • geodata.dep.state.fl.us
    Updated Jul 18, 2019
    + more versions
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    Florida Department of Environmental Protection (2019). Upper Floridan Aquifer Potentiometric Surface September 2017 [Dataset]. https://mapdirect-fdep.opendata.arcgis.com/datasets/1acb5f9ab06344fea9d951256e77e66f
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    Dataset updated
    Jul 18, 2019
    Dataset authored and provided by
    Florida Department of Environmental Protection
    Area covered
    Description

    The raster is created from the finalized contour lines for September 2017, An estimated zero contour line is placed along the coast from Bay County to Pinellas County and along Volusia County. This contour aids in making a more reasonable surface along the coast, since water level vaues are less than the 10 foot contour interval shown on the contour map (see potentiometric contour map). Using the Topo to Raster tool, a 500 X 500 meter grid is created by using the September 2017 contour lines, the estimated zero contour line, estimated water value points along the suwannee river and the September 2017 water level data. The interpolated elevation value in each cell is in feet mean sea level, datum NGVD29.See Metadata for Contact info.

  11. l

    Contour Lines File Geodatabase (2007)

    • maps.leegov.com
    Updated Mar 7, 2025
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    Lee County Florida GIS (2025). Contour Lines File Geodatabase (2007) [Dataset]. https://maps.leegov.com/datasets/b6e9937f903b4a9cab82c5d6955905c9
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    Dataset updated
    Mar 7, 2025
    Dataset authored and provided by
    Lee County Florida GIS
    Area covered
    Description

    One-foot and two-foot contours derived from LiDAR terrain model. The DTM was developed to support the Florida Division of Emergency Management (FDEM) development and maintenance of Regional Evacuation Studies (Study), which include vulnerability assessments and assist disaster response personnel in understanding threats to Florida's citizens and visitors. Breaklines improve the digital elevation model in areas where the point density is insufficient.This data set is one component of a digital terrain model (DTM) for the Florida Division of Emergency Management's (FDEM) Project Management and Technical Services for Mapping within Coastal Florida (Contract 07-HS-34-14-00-22-469), encompassing the entire coastline of Florida. The dataset is comprised of mass points, 2-D and 3-D breakline features, 1-foot and 2-foot contours, ground control, vertical test points, and a footprint of the data set, in the ESRI ArcGIS File Geodatabase format. In accordance with the Baseline Specifications 1.2, the following breakline features are contained within the database: closed water bodies (lakes, reservoirs, etc) as 2-D or 3-D polygons; linear hydrographic features (streams, shorelines, canals, swales, embankments, etc) as 3-D breaklines; coastal shorelines as 2-D or 3-D linear features; edge of pavement road features as 3-D breaklines; soft features (ridges, valleys, etc.) as 3-D breaklines; low confidence areas as 2-D polygons; island features as 2-D or 3-D polygons; overpasses and bridges as 3-D breaklines. Contours were generated from a gridded DEM: 2-foot contours meet National Map Accuracy Standards, with 1-foot contours for visualization purposes. The LiDAR masspoints are delivered in the LAS file format based on the FDEM's 5,000' by 5,000' grid. Breakline features were captured to develop a hydrologically correct DTM. Bare earth LiDAR masspoint data display a vertical accuracy of at least 0.3-feet root mean square error (RMSE) in open unobscured areas.

  12. l

    Contour Lines File Geodatabase (1998)

    • maps.leegov.com
    • hub.arcgis.com
    Updated Mar 7, 2025
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    Lee County Florida GIS (2025). Contour Lines File Geodatabase (1998) [Dataset]. https://maps.leegov.com/datasets/3a537231c5e14cf4a75a98ed8c173a6b
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    Dataset updated
    Mar 7, 2025
    Dataset authored and provided by
    Lee County Florida GIS
    Description

    2' Contour Lines generated from Lee County 1998 Digital Orthophotography project performed by EarthData International. Elevations are in NAVD88, standard vertical error should not exceed 0.6 ft. February-March 1998.

  13. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
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    U.S. Geological Survey, National Geospatial Technical Operations Center, ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/c564998e45ce4b9e83317f702ae5ef19/html
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    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Description

    Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

  14. w

    Index To Topographic Maps Of Florida

    • data.wu.ac.at
    pdf
    Updated Dec 24, 2015
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    (2015). Index To Topographic Maps Of Florida [Dataset]. https://data.wu.ac.at/odso/geothermaldata_org/MmEzMTk3MDUtZGIzZC00OGZjLTk4YWMtNjIwZWFkODAwZjUx
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    pdfAvailable download formats
    Dataset updated
    Dec 24, 2015
    Area covered
    eec6f313c13bbf78ed02faa77c46658a9e8e5360, Florida
    Description

    Index To Topographic Maps Of Florida

  15. a

    Tampa Bay, FL Bathymetric/Topographic Digital Elevation Model - Gulf of...

    • hub.arcgis.com
    • gisdata.gcoos.org
    • +1more
    Updated Oct 1, 2019
    + more versions
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    jeradk18@tamu.edu_tamu (2019). Tampa Bay, FL Bathymetric/Topographic Digital Elevation Model - Gulf of Mexico (GCOOS) [Dataset]. https://hub.arcgis.com/maps/8c0b61b61fd1485baad496415bd91f68
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    Dataset updated
    Oct 1, 2019
    Dataset authored and provided by
    jeradk18@tamu.edu_tamu
    Area covered
    Description

    In this joint demonstration project for the Tampa Bay region, NOAA's National Ocean Service (NOS) and the U.S. Geological Survey (USGS) have merged NOAA bathymetric and USGS topographic data sets into a hybrid digital elevation model (DEM) with all data initially referenced to the ellipsoid, but transformable to any of 28 orthometric, 3-D, or tidal datums.A seamless bathymetric/topographic digital elevation model (DEM) was developed by merging the "best available" bathymetric data from NOAA and topographic data for USGS. Each of the datasets was initially processed independently to apply the "best available" criteria to select the data to be merged. Prior to merging, the selected data were transformed to a common reference coordinate system, both horizontally and vertically.The selected topography points within the shoreline buffer zone and the bathymetry points were gridded to produce a raster surface model with a 1-arc-second (30-meter) grid spacing to match the resolution of NED. The points were input to an implementation of the ANUDEM thin plate spline interpolation algorithm, which is optimized for generation of topographic surfaces. The bathymetry points could have been gridded independently of the topographic data, but the shoreline zone land elevations were included in the interpolation to ensure a better match of the bathymetric and topographic surfaces for the subsequent mosaicing step. To avoid introduction of any interpolation edge effects into the merged elevation model, the output grid from the interpolation was clipped to include only land elevations within 300 meters of the shoreline.The final processing step involved the mosaicing of the bathymetry grid and the NED elevation grid. The values in the 300-meter overlap area were blended by weighted averaging, where the weights for each grid are determined on a cell-by-cell basis according to the cell's proximity to the edges of the overlap area. The resulting final merged product is a seamless bathymetric/topographic model covering the Tampa Bay region at a grid spacing of 1-arc-second (30-meter). The vertical coordinates represent elevation in decimal meters relative to the GRS80 ellipsoid, and the horizontal coordinates are decimal degrees of latitude and longitude referenced to the NAD83 datum.This dataset is intended for geospatial applications that require seamless land elevation and water depth information in coastal environments.

  16. n

    Data from: High Accuracy Elevation Data - Water Conservation Areas and...

    • cmr.earthdata.nasa.gov
    • search.dataone.org
    html
    Updated Apr 20, 2017
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    (2017). High Accuracy Elevation Data - Water Conservation Areas and Greater Everglades Region [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C2231550369-CEOS_EXTRA.html
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    htmlAvailable download formats
    Dataset updated
    Apr 20, 2017
    Time period covered
    Jan 1, 1995 - Dec 31, 2007
    Area covered
    Description

    The High Accuracy Elevation Data Project collected elevation data (meters) on a 400 meter topographic grid with a vertical accuracy of +/- 15 centimeters to define the topography in South Florida. The data are referenced to the horizontal datum North American Datum 1983 (NAD 83) and the vertical datum North American Vertical Datum 1988 (NAVD 88). In some areas, the surveying was accomplished using airboats. Because access was a logistical problem with airboats, the USGS developed a helicopter-based instrument known as the Airborne Height Finder (AHF). All subsequent data collection used the AHF. Data were collected from the Loxahatchee National Wildlife Refuge, south through the Water Conservation Areas (1A, 2A, 2B, 3A, and 3B), Big Cypress National Park, the Everglades National Park, to the Florida Bay. The data are available for the areas shown on the USGS High Accuracy Elevation Data graphic at http://sofia.usgs.gov/exchange/desmond/desmondelev.html . The work was performed for Everglades ecosystem restoration purposes.

     The data are from regional topographic surveys to collect and provide elevation data to parameterize hydrologic and ecological numerical simulation models that are being developed for ecosystem restoration activities. Surveying services were also rendered to provide vertical reference points for numerous water level gauges. Modeling of sheet flow and water surface levels in the wetlands of South Florida is very sensitive to changes in elevation due to the expansive and extremely low relief terrain. Hydrologists determined minimum vertical accuracy requirements for the elevation data for use as input to hydrologic models. As a result, elevation data with a vertical accuracy specification of +/-15 centimeters (cm) relative to the North American Vertical Datum of 1988 (NAVD88) were collected in critical areas using state-of-the-art differential global positioning system (GPS) technology and data processing techniques.
    
  17. Upper Floridan Aquifer Potentiometric Surface May 2016

    • geodata.dep.state.fl.us
    • hub.arcgis.com
    Updated Sep 13, 2017
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    Florida Department of Environmental Protection (2017). Upper Floridan Aquifer Potentiometric Surface May 2016 [Dataset]. https://geodata.dep.state.fl.us/datasets/FDEP::upper-floridan-aquifer-potentiometric-surface-may-2016/about
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    Dataset updated
    Sep 13, 2017
    Dataset authored and provided by
    Florida Department of Environmental Protectionhttp://www.floridadep.gov/
    Area covered
    Description

    The raster is created from the finalized contour lines for May 2016, An estimated zero contour line is placed along the coast from Bay County to Pinellas County and along Volusia County. This contour aids in making a more reasonable surface along the coast, since water level vaues are less than the 10 foot contour interval shown on the contour map (see potentiometric contour map). Using the Topo to Raster tool, a 500 X 500 meter grid is created by using the May 2016 contour lines, the estimated zero contour line, estimated water value points along the suwannee river and the May 2015 water level data. The interpolated elevation value in each cell is in feet mean sea level, datum NGVD29. Please reference the metadata for contact information.

  18. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
    pdf
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    ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/d3e2e8d69c624f32a61398ed385f53f1/html
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    pdfAvailable download formats
    Area covered
    Description

    no abstract provided

  19. a

    Topographic Contours 2020 Map Tile

    • hub.arcgis.com
    Updated Apr 4, 2022
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    Tallahassee-Leon County GIS (2022). Topographic Contours 2020 Map Tile [Dataset]. https://hub.arcgis.com/datasets/a2a46a754b2c4aa9a8cadebe59b1dd9b
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    Dataset updated
    Apr 4, 2022
    Dataset authored and provided by
    Tallahassee-Leon County GIS
    Area covered
    Description

    This topographic contour layer was derived from LiDAR collected in spring of 2020 by Dewberry Engineers in coordination with Tallahassee - Leon County GIS. The contours were extracted at a 2 foot interval with index contours every 10 feet. This tile layer was generated as a Map Tile Package (.mtpkx) in ArcGIS Pro and published to ArcGIS online as a hosted tile layer. For web mapping compatibility, this layer has been re-projected from its original coordinate system to the web standard used by ESRI, Google, and Bing (Web Mercator Auxiliary Sphere).The feature layer used to generate this tile layer can be downloaded as a zipped geodatabase from TLCGIS' geodatahub. Download LinkLidar Acquisition Executive SummaryThe primary purpose of this project was to develop a consistent and accurate surface elevation dataset derived from high-accuracy Light Detection and Ranging (lidar) technology for the Tallahassee Leon County Project Area. The lidar data were processed and classified according to project specifications. Detailed breaklines and bare-earth Digital Elevation Models (DEMs) were produced for the project area. Data was formatted according to tiles with each tile covering an area of 5000 ft by 5000 ft. A total of 876 tiles were produced for the project encompassing an area of approximately 785.55 sq. miles.The Project TeamDewberry served as the prime contractor for the project. In addition to project management, Dewberry was responsible for LAS classification, all lidar products, breakline production, Digital Elevation Model (DEM) production, and quality assurance. Dewberry’s Frederick C. Rankin completed ground surveying for the project and delivered surveyed checkpoints. His task was to acquire surveyed checkpoints for the project to use in independent testing of the vertical accuracy of the lidar-derived surface model. He also verified the GPS base station coordinates used during lidar data acquisition to ensure that the base station coordinates were accurate. Please see Appendix A to view the separate Survey Report that was created for this portion of the project. Digital Aerial Solutions, LLC completed lidar data acquisition and data calibration for the project area.SURVEY AREAThe project area addressed by this report falls within the Florida county of Leon.DATE OF SURVEYThe lidar aerial acquisition was conducted from TBDORIGINAL COORDINATE REFERENCE SYSTEMData produced for the project were delivered in the following reference system.Horizontal Datum: The horizontal datum for the project is North American Datum of 1983 with the 2011 Adjustment (NAD 83 (2011))Vertical Datum: The Vertical datum for the project is North American Vertical Datum of 1988 (NAVD88)Coordinate System: NAD83 (2011) State Plane Florida North (US survey feet)Units: Horizontal units are in U.S. Survey Feet, Vertical units are in U.S. Survey Feet.Geiod Model: Geoid12B (Geoid 12B) was used to convert ellipsoid heights to orthometric heights).

  20. US MPA Multibeam Mapping of the West Florida Shelf-The Edges, Gulf of...

    • fisheries.noaa.gov
    • catalog.data.gov
    Updated Nov 1, 2011
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    David F Naar (2011). US MPA Multibeam Mapping of the West Florida Shelf-The Edges, Gulf of Mexico, Appalachicola, Florida. [Dataset]. https://www.fisheries.noaa.gov/inport/item/24432
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    Dataset updated
    Nov 1, 2011
    Dataset provided by
    Southeast Fisheries Science Center
    Authors
    David F Naar
    Time period covered
    Oct 9, 2010 - Oct 11, 2010
    Area covered
    Description

    XYZ ASCII format high-resolution bathymetry data generated from the 2010 multibeam sonar survey of the West Florida Shelf-The Edges, Gulf of Mexico, Appalachicola, Florida.

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U.S. Geological Survey (2024). Upper Florida Keys 1930s-2002 Seafloor Elevation Stability Models, Maps, and Tables [Dataset]. https://catalog.data.gov/dataset/upper-florida-keys-1930s-2002-seafloor-elevation-stability-models-maps-and-tables

Upper Florida Keys 1930s-2002 Seafloor Elevation Stability Models, Maps, and Tables

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Dataset updated
Jul 6, 2024
Dataset provided by
United States Geological Surveyhttp://www.usgs.gov/
Area covered
Florida Keys, Florida
Description

The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) conducted research to identify areas of seafloor elevation stability and instability based on elevation changes between the 1930’s and 2002 in the Upper Florida Keys (UFK) from Triumph Reef to Pickles Reef within a 234.2 square-kilometer area. USGS SPCMSC staff used seafloor elevation-change data from Yates and others (2017a) derived from an elevation-change analysis between two elevation datasets acquired in the 1930’s and 2001/2002 using the methods of Yates and others (2017b). Most of the elevation data from the 2001/2002 time period were collected during 2002, so as an abbreviated naming convention, we refer to this time period as 2002. A seafloor stability threshold was determined for the 1930’s-2002 UFK elevation-change dataset based on the vertical uncertainty of the 1930’s historical hydrographic surveys and 2002 digital elevation models (DEMs). Five stability categories (which include, Stable: 0.0 meters (m) to ±0.24 m or 0.0 m to ±0.49 m; Moderately stable: ±0.25 m to ±0.49 m; Moderately unstable: ±0.50 m to ±0.74 m; Mostly unstable: ±0.75 m to ±0.99 m; and Unstable: ±1.00 m to Max/Min elevation change) were created and used to define levels of stability and instability for each elevation-change value (25,982 data points) based on the amount of erosion and accretion during the 1930’s to 2002 time period. Seafloor-stability point and triangulated irregular network (TIN) surface models were created at five different elevation-change data resolutions (1st order through 5th order) with each resolution becoming increasingly more detailed. The stability models were used to determine the level of seafloor stability at potential areas of interest for coral restoration and 13 habitat types found in the UFK. Stability surface (TIN) models were used for areas defined by specific XY geographic points, while stability point models were used for areas defined by bounding box coordinate locations. This data release includes ArcGIS map packages containing the binned and color-coded stability point and surface (TIN) models, potential coral restoration locations, and habitat files; maps of each stability model; and data tables containing stability and elevation-change data for the potential coral restoration locations and habitat types. Data were collected under Florida Keys National Marine Sanctuary permit FKNMS-2016-068.

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