84 datasets found
  1. a

    Elevations Contours and Depression

    • mapdirect-fdep.opendata.arcgis.com
    • geodata.dep.state.fl.us
    • +2more
    Updated Oct 26, 2015
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    Florida Department of Environmental Protection (2015). Elevations Contours and Depression [Dataset]. https://mapdirect-fdep.opendata.arcgis.com/datasets/elevations-contours-and-depression
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    Dataset updated
    Oct 26, 2015
    Dataset authored and provided by
    Florida Department of Environmental Protection
    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 The data is more than 20 years old and is likely out-of-date in areas of high human activity.

  2. U

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

    • data.usgs.gov
    • catalog.data.gov
    Updated Jan 22, 2025
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    Kelly Murphy; Kimberly Yates (2025). Upper Florida Keys 1930s-2002 Seafloor Elevation Stability Models, Maps, and Tables [Dataset]. http://doi.org/10.5066/P9AIOVFW
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    Dataset updated
    Jan 22, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Kelly Murphy; Kimberly Yates
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    Jan 1, 1934 - Aug 9, 2002
    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 incl ...

  3. g

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

    • gisdata.gcoos.org
    • hub.arcgis.com
    Updated Oct 1, 2019
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    jeradk18@tamu.edu_tamu (2019). Tampa Bay, FL Bathymetric/Topographic Digital Elevation Model - Gulf of Mexico (GCOOS) [Dataset]. https://gisdata.gcoos.org/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.

  4. d

    Data from: EAARL Topography-Gulf Islands National Seashore-Florida

    • datasets.ai
    • catalog.data.gov
    55
    Updated Aug 26, 2024
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    Department of the Interior (2024). EAARL Topography-Gulf Islands National Seashore-Florida [Dataset]. https://datasets.ai/datasets/eaarl-topography-gulf-islands-national-seashore-florida
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    55Available download formats
    Dataset updated
    Aug 26, 2024
    Dataset authored and provided by
    Department of the Interior
    Area covered
    Gulf Islands National Seashore, Florida
    Description

    Elevation maps (also known as Digital Elevation Models or DEMs) of Gulf Islands National Seashore were produced from remotely-sensed, geographically-referenced elevation measurements in cooperation with NASA and NPS. Point data in ascii text files were interpolated in a GIS to create a grid or digital elevation model (DEM) of each beach surface. Elevation measurements were collected in Florida, Mississippi and Texas, over Gulf Islands National Seashore, using the NASA Experimental Advanced Airborne Research LiDAR (EAARL), a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation and coastal topography. The system uses high frequency laser beams directed at the earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The plane travels over the beach at approximately 60 meters per second while surveying from the low-water line to the landward base of the sand dunes. The EAARL, developed by the National Aeronautics and Space Administration (NASA) located at Wallops Flight Facility in Virginia, measures ground elevation with a vertical resolution of 15 centimeters. A sampling rate of 3 kHz or higher results in an extremely dense spatial elevation data set. Over 100 kilometers of coastline can be easily surveyed within a 3- to 4-hour mission time period. The ability to sample large areas rapidly and accurately is especially useful in morphologically dynamic areas such as barrier beaches. Quick assessment of topographic change can be made following storms comparing measurements against baseline data. When subsequent elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding coastal development. For more information on Lidar science and the Experimental Advanced Airborne Research Lidar (EAARL) system and surveys, see http://ngom.usgs.gov/dsp/overview/index.php and http://ngom.usgs.gov/dsp/tech/eaarl/index.php .

  5. a

    Land Surface Elevation NAVD88

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    Updated Dec 3, 2024
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    South Florida Water Management District (2024). Land Surface Elevation NAVD88 [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/sfwmd::lower-west-coast-hydrogeologic-unit-contours-2022-1?layer=0
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    Dataset updated
    Dec 3, 2024
    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

    To generate the land surface grid for this project, VIEWLOG was used to re-sample a 100-ft digital elevation model (DEM) of best-available data for the Lower West Coast planning region of the SFWMD. The original DEM was composited in 2013 from multiple sources. The 100 x 100 foot cell size of the DEM was resampled to a grid size of 2000 x 2000 feet (Liebermann and Bedell, 2013). The vertical datum is NGVD29. The contour interval is in feet.The objectives of this study were to create regional hydrogeologic maps including contour maps showing unit surfaces and thicknesses, and cross-sections representative of both the surficial aquifer system (SAS) and intermediate aquifer system (IAS). The maps, source data, and metadata used to generate these products will be archived in a manner suitable for model implementation and regulatory use in a publically accessible format. The results will be incorporated into the forthcoming Lower West Coast Surficial Aquifer System and Intermediate Aquifer System Model (LWCSIM), which will evaluate the potential impact of existing and projected groundwater withdrawals in all SAS and IAS aquifers within the region over the next several decades.For full documentation, please see Technical Publication WS-35, "Hydrogeologic Unit Mapping Update for the Lower West Coast Water Supply Planning Area," dated August 2015 by Elizabeth Geddes, Emily Richardson P.G., and Anne Dodd P.G. , Water Supply Bureau, Water Resources Division, South Florida Water Management District, West Palm Beach, Florida.https://www.sfwmd.gov/sites/default/files/documents/ws-35_lwc_hydrogeologic_mapping_083115.pdf

  6. d

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

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
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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.

  7. 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.
    
  8. d

    Crocker Reef, Florida, 2017-2018 Seafloor Elevation Stability Models, Maps,...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Crocker Reef, Florida, 2017-2018 Seafloor Elevation Stability Models, Maps, and Tables [Dataset]. https://catalog.data.gov/dataset/crocker-reef-florida-2017-2018-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
    Crocker Reef, 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 years of 2017 and 2018 at Crocker Reef near Islamorada, Florida (FL), within a 6.11 square-kilometer area. USGS SPCMSC staff used seafloor elevation-change data from Yates and others (2019) derived from an elevation-change analysis between two elevation datasets acquired in 2017 and 2018 using the methods of Yates and others (2017). A seafloor stability threshold was determined for the 2017-2018 Crocker Reef elevation-change dataset based on the vertical uncertainty of the 2017 and 2018 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 (1,525,339 data points at 2-m horizontal resolution) based on the amount of erosion and accretion during the 2017 to 2018 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 point models were used to determine the level of seafloor stability at seven habitat types found at Crocker Reef. This data release includes ArcGIS map packages containing the binned and color-coded stability point and surface (TIN) models and habitat files; maps of each stability model; and data tables containing stability and elevation-change data for the habitat types. Data were collected under Florida Keys National Marine Sanctuary permit FKNMS-2016-068.

  9. d

    Data from: EAARL Coastal Topography and Imagery--Naval Live Oaks Area, Gulf...

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). EAARL Coastal Topography and Imagery--Naval Live Oaks Area, Gulf Islands National Seashore, Florida, 2007 [Dataset]. https://catalog.data.gov/dataset/eaarl-coastal-topography-and-imagery-naval-live-oaks-area-gulf-islands-national-seashore-f
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Florida
    Description

    A digital elevation map (also known as a Digital Elevation Model, or DEM) of the Naval Live Oaks Area in Florida's Gulf Islands National Seashore was produced from remotely sensed, geographically referenced elevation measurements cooperatively by the U.S. Geological Survey (USGS), the National Park Service (NPS), and the National Aeronautics and Space Administration (NASA). Elevation measurements were collected over the area using the NASA Experimental Advanced Airborne Research Lidar (EAARL), a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography. The system uses high-frequency laser beams directed at the Earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The plane travels over the target area at approximately 50 meters per second at an elevation of approximately 300 meters. The EAARL, developed by NASA at Wallops Flight Facility in Virginia, measures ground elevation with a vertical resolution of +/-15 centimeters. A sampling rate of 3 kilohertz or higher results in an extremely dense spatial elevation dataset. Over 100 kilometers of coastline can be surveyed easily within a 3- to 4-hour mission. When subsequent elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding land development. For more information on Lidar science and the Experimental Advanced Airborne Research Lidar (EAARL) system and surveys, see http://ngom.usgs.gov/dsp/overview/index.php and http://ngom.usgs.gov/dsp/tech/eaarl/index.php .

  10. Pensacola, Florida 1/3 arc-second NAVD 88 Coastal Digital Elevation Model

    • ncei.noaa.gov
    • data.noaa.gov
    • +2more
    Updated Sep 9, 2015
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    NOAA National Centers for Environmental Information (NCEI) (2015). Pensacola, Florida 1/3 arc-second NAVD 88 Coastal Digital Elevation Model [Dataset]. https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ngdc.mgg.dem:11507
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    Dataset updated
    Sep 9, 2015
    Dataset provided by
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    National Oceanic and Atmospheric Administration
    Area covered
    Vertical Location > Land Surface, Pensacola Beach, geographic bounding box, Gulf Islands National Seashore, Vertical Location > Sea Floor, Pensacola, Perdido Bay, United States, Florida, Florida, Pensacola
    Description

    NOAA's National Centers for Environmental Information (NCEI) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions. These integrated bathymetric-topographic DEMs are used to support individual coastal States as part of the National Tsunami Hazard Mitigation Program's (NTHMP) efforts to improve community preparedness and hazard mitigation. Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources including: NOAA; the U.S. Geological Survey (USGS); and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to the vertical datum of NAVD 88 and horizontal datum of World Geodetic System 1984 geographic (WGS 84). Grid spacing for the DEM is 1/3 arc-second (~10 meters).

  11. c

    Data from: EAARL Coastal Topography--Eastern Florida, Post-Hurricane...

    • s.cnmilf.com
    • data.usgs.gov
    • +4more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). EAARL Coastal Topography--Eastern Florida, Post-Hurricane Frances, 2004: First Surface [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/eaarl-coastal-topography-eastern-florida-post-hurricane-frances-2004-first-surface
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Florida
    Description

    A digital elevation map (also known as a Digital Elevation Model, or DEM) of a portion of the eastern Florida coastline was produced from remotely sensed, geographically referenced elevation measurements cooperatively by the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA). Elevation measurements were collected over the area using the NASA Experimental Advanced Airborne Research Lidar (EAARL), a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography. The system uses high-frequency laser beams directed at the Earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The plane travels over the target area at approximately 50 meters per second at an elevation of approximately 300 meters. The EAARL, developed by NASA at Wallops Flight Facility in Virginia, measures ground elevation with a vertical resolution of +/-15 centimeters. A sampling rate of 3 kilohertz or higher results in an extremely dense spatial elevation dataset. Over 100 kilometers of coastline can be surveyed easily within a 3- to 4-hour mission. When subsequent elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding land development. For more information on Lidar science and the Experimental Advanced Airborne Research Lidar (EAARL) system and surveys, see http://ngom.usgs.gov/dsp/overview/index.php and http://ngom.usgs.gov/dsp/tech/eaarl/index.php .

  12. 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.

  13. d

    ADMMR mining collection file: Florida Mine

    • datadiscoverystudio.org
    pdf
    Updated Jan 29, 2013
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    (2013). ADMMR mining collection file: Florida Mine [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/89f557e561964fd39355302567ccec45/html
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    pdfAvailable download formats
    Dataset updated
    Jan 29, 2013
    Area covered
    Description

    This location is part of the Arizona Mineral Industry Location System (AzMILS), an inventory of mineral occurences, prospects and mine locations in Arizona. Pima368 is located in T19S R15E Sec 32 N2 in the Mount Wrightson - 15 Min quad. This collection consists of various reports, maps, records and related materials acquired by the Arizona Department of Mines and Mineral Resources regarding mining properties in Arizona. Information was obtained by various means, including the property owners, exploration companies, consultants, verbal interviews, field visits, newspapers and publications. Some sections may be redacted for copyright. Please see the access statement.

  14. d

    Data from: EAARL submarine topography: Florida Keys National Marine...

    • datadiscoverystudio.org
    html
    Updated Jun 28, 2018
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    (2018). EAARL submarine topography: Florida Keys National Marine Sanctuary [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/cbebe99b5954404fa5b141b5b8652da8/html
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    htmlAvailable download formats
    Dataset updated
    Jun 28, 2018
    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

  15. U

    Looe Key, Florida, 2004-2016 Seafloor Elevation Stability Models, Maps, and...

    • data.usgs.gov
    • catalog.data.gov
    Updated Jan 8, 2025
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    Kelly Murphy; Kimberly Yates (2025). Looe Key, Florida, 2004-2016 Seafloor Elevation Stability Models, Maps, and Tables [Dataset]. http://doi.org/10.5066/P9SNKVEH
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    Dataset updated
    Jan 8, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Kelly Murphy; Kimberly Yates
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    Dec 1, 2004 - Nov 21, 2016
    Area covered
    Looe Key, 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 years of 2004 and 2016 at Looe Key coral reef near Big Pine Key, Florida (FL), within a 16.37 square-kilometer area. USGS SPCMSC staff used seafloor elevation-change data from Yates and others (2019) derived from an elevation-change analysis between two elevation datasets acquired in 2004 and 2016 using the methods of Yates and others (2017). A seafloor stability threshold was determined for the 2004-2016 Looe Key elevation-change dataset based on the vertical uncertainty of the 2004 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 e ...

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    08ACH03_first_return_metadata: EAARL Coastal Topography-Louisiana, Alabama,...

    • catalog.data.gov
    • data.usgs.gov
    Updated Oct 5, 2024
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    U.S. Geological Survey (2024). 08ACH03_first_return_metadata: EAARL Coastal Topography-Louisiana, Alabama, and Florida, June 2008 [Dataset]. https://catalog.data.gov/dataset/eaarl-coastal-topography-louisiana-alabama-and-florida-june-2008-f34c0
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    Dataset updated
    Oct 5, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Alabama, Louisiana, Florida
    Description

    ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over the area using the National Aeronautics and Space Administration (NASA) Experimental Advanced Airborne Research Lidar (EAARL), a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography. The system uses high-frequency laser beams directed at the Earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The plane travels over the target area at approximately 50 meters per second at an elevation of approximately 300 meters, resulting in a laser swath of approximately 240 meters with an average point spacing of 2-3 meters. The EAARL, developed originally by NASA at Wallops Flight Facility in Virginia, measures ground elevation with a vertical resolution of 3 centimeters. A sampling rate of 3 kilohertz or higher results in an extremely dense spatial elevation dataset. Over 100 kilometers of coastline can be surveyed easily within a 3- to 4-hour mission. When resultant elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding land development.

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    Data from: EAARL Coastal Topography-Cape Canaveral, Florida, 2009: First...

    • catalog.data.gov
    • data.usgs.gov
    • +4more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). EAARL Coastal Topography-Cape Canaveral, Florida, 2009: First Surface [Dataset]. https://catalog.data.gov/dataset/eaarl-coastal-topography-cape-canaveral-florida-2009-first-surface
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Cape Canaveral
    Description

    A digital elevation model (DEM) of a portion of the eastern Florida coastline was produced from remotely sensed, geographically referenced elevation measurements cooperatively by the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA), Kennedy Space Center, FL. Elevation measurements were collected over the area using the NASA Experimental Advanced Airborne Research Lidar (EAARL), a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography. The system uses high-frequency laser beams directed at the Earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The plane travels over the target area at approximately 50 meters per second at an elevation of approximately 300 meters, resulting in a laser swath of approximately 240 meters with an average point spacing of 2-3 meters. The EAARL, developed by NASA at Wallops Flight Facility in Virginia, measures ground elevation with a vertical resolution of +/-15 centimeters. A sampling rate of 3 kilohertz or higher results in an extremely dense spatial elevation dataset. Over 100 kilometers of coastline can be surveyed easily within a 3- to 4-hour mission. When resultant elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding land development. For more information on Lidar science and the Experimental Advanced Airborne Research Lidar (EAARL) system and surveys, see http://ngom.usgs.gov/dsp/overview/index.php and http://ngom.usgs.gov/dsp/tech/eaarl/index.php .

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    EAARL Coastal Topography–Northwest Florida, Post-Hurricane Katrina, 2005:...

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). EAARL Coastal Topography–Northwest Florida, Post-Hurricane Katrina, 2005: Bare Earth [Dataset]. https://catalog.data.gov/dataset/eaarl-coastal-topographynorthwest-florida-post-hurricane-katrina-2005-bare-earth
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Earth, Florida
    Description

    ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over northwest Florida, post-Hurricane Katrina (August 2005 hurricane), using the National Aeronautics and Space Administration (NASA) Experimental Advanced Airborne Research Lidar (EAARL), a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography. The system uses high-frequency laser beams directed at the Earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The plane travels over the target area at approximately 60 meters per second at an elevation of approximately 300 meters, resulting in a laser swath of approximately 240 meters with an average point spacing of 2-3 meters. The EAARL, developed originally by NASA at Wallops Flight Facility in Virginia, measures ground elevation with a vertical resolution of 3 centimeters. A sampling rate of 3 kilohertz or higher results in an extremely dense spatial elevation dataset. Over 100 kilometers of coastline can be surveyed easily within a 3- to 4-hour mission. When resultant elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding land development.

  19. a

    USGS Topo Maps (Map Service)

    • hub.arcgis.com
    • mapdirect-fdep.opendata.arcgis.com
    Updated Dec 1, 2009
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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.

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    Data from: Calibrated EAARL-B Submerged Topography--Fort Lauderdale,...

    • datasets.ai
    • search.dataone.org
    • +2more
    55
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    Department of the Interior, Calibrated EAARL-B Submerged Topography--Fort Lauderdale, Florida, 2014 (WGS84) [Dataset]. https://datasets.ai/datasets/calibrated-eaarl-b-submerged-topography-fort-lauderdale-florida-2014-wgs84
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    55Available download formats
    Dataset authored and provided by
    Department of the Interior
    Area covered
    Fort Lauderdale, Florida
    Description

    Binary point-cloud data of a portion of the submerged environs of Fort Lauderdale, Florida, were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over the area using the second-generation Experimental Advanced Airborne Research Lidar (EAARL-B), a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography. The system uses high-frequency laser beams directed at the Earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser pulse and the reception of the reflected laser signal in the aircraft. The plane travels over the target area at approximately 60 meters per second at an elevation of approximately 300 meters, resulting in a laser swath of approximately 240 meters with an average point spacing of 0.5-1.6 meters. The EAARL, developed originally by the National Aeronautics and Space Administration (NASA) at Wallops Flight Facility in Virginia, measures ground elevation with a vertical resolution of 3 centimeters. A peak sampling rate of 15-30 kilohertz results in an extremely dense spatial elevation dataset. Over 100 kilometers of coastline can be surveyed easily within a 3- to 4-hour mission. When resultant elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding land development.

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Florida Department of Environmental Protection (2015). Elevations Contours and Depression [Dataset]. https://mapdirect-fdep.opendata.arcgis.com/datasets/elevations-contours-and-depression

Elevations Contours and Depression

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Dataset updated
Oct 26, 2015
Dataset authored and provided by
Florida Department of Environmental Protection
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.

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