100+ datasets found
  1. a

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

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • gisdata.gcoos.org
    • +1more
    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://arc-gis-hub-home-arcgishub.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.

  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. d

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

    • search.dataone.org
    • datasets.ai
    • +1more
    Updated Sep 14, 2017
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    United States Geological Survey, FISC St. Petersburg (2017). EAARL Topography-Gulf Islands National Seashore-Florida [Dataset]. https://search.dataone.org/view/74a99233-2fda-4c96-8cfa-29b9a6556133
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    Dataset updated
    Sep 14, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    United States Geological Survey, FISC St. Petersburg
    Area covered
    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 .

  4. 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

  5. a

    USGS Topo Maps (Map Service)

    • hub.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.

  6. d

    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 .

  7. Fayl:Florida topographic map-en.svg

    • wikimedia.az-az.nina.az
    Updated Jul 12, 2025
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    www.wikimedia.az-az.nina.az (2025). Fayl:Florida topographic map-en.svg [Dataset]. https://www.wikimedia.az-az.nina.az/Fayl:Florida_topographic_map-en.svg.html
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    Dataset updated
    Jul 12, 2025
    Dataset provided by
    Vikimedia Fonduhttp://www.wikimedia.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Florida
    Description

    Fayl Faylın tarixçəsi Faylın istifadəsi Faylın qlobal istifadəsi MetaməlumatlarBu SVG faylın PNG formatındakı bu görünüş

  8. 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.

  9. 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.

  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
    United States, Florida, geographic bounding box, Gulf Islands National Seashore, Pensacola Beach, Pensacola, Perdido Bay, Vertical Location > Sea Floor, Vertical Location > Land Surface, Pensacola, Florida
    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. 2009 SWFWMD Topographic Lidar: Peace River South (Florida)

    • data.wu.ac.at
    • fisheries.noaa.gov
    Updated Feb 7, 2018
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    National Oceanic and Atmospheric Administration, Department of Commerce (2018). 2009 SWFWMD Topographic Lidar: Peace River South (Florida) [Dataset]. https://data.wu.ac.at/schema/data_gov/MjZkZmEwZWItZmFjNC00ZjJlLTg0NjYtZmFlYjExOGQ4ZTAy
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    Dataset updated
    Feb 7, 2018
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    License

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

    Area covered
    149b4c5f0620ab2d478ee087caf29a3992c7ec56
    Description

    SWFWMD regularly uses digital topographic information to support regulatory, land management and acquisition, planning, engineering and habitat restoration projects. LiDAR data will support hydrologic modeling activities associated with the FederalEmergency Management Agency (FEMA), and in the creation of Digital Flood Insurance Rate Maps(DFIRM). The LiDAR data will support the creation of Federal Emergency Management AgencyFlood Insurance Rate Maps (FEMA FIRM) and an integrated ground and surface water model for thePeace River watershed. The data were classified into 7 classifications; (1) unclassified, (2) ground, (6) buildings, (9) water, (11) wetlands (reclassed by OCM to 18), (13) bridges (reclassed by OCM to 15), and (20) buffer points (reclassed by OCM to 10).

  12. 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.
    
  13. 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).

  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. 2004 Southwest Florida Water Management District Lidar: Sarasota District

    • fisheries.noaa.gov
    • datadiscoverystudio.org
    html
    Updated May 10, 2005
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    OCM Partners (2005). 2004 Southwest Florida Water Management District Lidar: Sarasota District [Dataset]. https://www.fisheries.noaa.gov/inport/item/50029
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    htmlAvailable download formats
    Dataset updated
    May 10, 2005
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    Feb 28, 2004
    Area covered
    Description

    This metadata record describes the ortho & lidar mapping of Sarasota County, FL. The mapping consists of lidar data collected using a Leica ALS-40 Lidar Sensor, contour generation, and production of natural color orthophotography with a 30-cm GSD using imagery collected with a Leica ADS-40 Aerial Digital Camera. This topographic survey for Sarasota County covers 572 square miles and was acquire...

  16. U

    Florida Reef Tract 2016-2019 Seafloor Elevation Stability Models, Maps, and...

    • data.usgs.gov
    • catalog.data.gov
    Updated Aug 27, 2021
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    Kelly Murphy; Kimberly Yates (2021). Florida Reef Tract 2016-2019 Seafloor Elevation Stability Models, Maps, and Tables [Dataset]. http://doi.org/10.5066/P9KSJ2GI
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    Dataset updated
    Aug 27, 2021
    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
    Jul 21, 2016 - Mar 23, 2019
    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 years of 2016 and 2019 along the Florida Reef Tract (FRT) from Miami to Key West within a 939.4 square-kilometer area. USGS SPCMSC staff used seafloor elevation-change data from Fehr and others (2021) derived from an elevation-change analysis between two elevation datasets acquired in 2016/2017 and 2019 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. Due to file size limitations, the elevation-change data was divided into five blocks. A seafloor stability threshold was determined for the 2016-2019 FRT elevation-change datasets based on the vertical uncertainty of the 2016 and 2019 digital elevation models (DEM ...

  17. n

    Data from: High-Resolution Bathymetry of Florida Bay

    • cmr.earthdata.nasa.gov
    • search.dataone.org
    Updated Apr 20, 2017
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    (2017). High-Resolution Bathymetry of Florida Bay [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C2231552903-CEOS_EXTRA.html
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    Dataset updated
    Apr 20, 2017
    Time period covered
    Jan 1, 1889 - Dec 31, 1999
    Area covered
    Description

    The objective of this research was to collect new bathymetry for all of Florida Bay, digitize the historical shoreline and bathymetric data, compare previous data to modern data, and produce maps and digital grids of historical and modern bathymetry.

    Detailed, high-resolution maps of Florida Bay mudbank elevations are needed to understand sediment dynamics and provide input into water quality and circulation models. The bathymetry of Florida Bay had not been systematically mapped in nearly 100 years, and some shallow areas of the bay have never been mapped. An accurate, modern bathymetric survey provides a baseline for assessing future sedimentation rates in the Bay, and a foundation for developing a sediment budget. Due to the complexity of the Bay and age of existing data, a current bathymetric grid (digitally derived from the survey) is critical for numerical models. Numerical circulation and sediment transport models being developed for the South Florida Ecosystem Restoration Program are being used to address water quality issues in Florida Bay. Application of these models is complicated due to the complex seafloor topography (basin/mudbank morphology) of the Bay. The only complete topography data set of the Bay is 100 years old. Consequently, an accurate, modern seafloor bathymetry map of the Bay is 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.

  18. d

    RECOVER MAP 3.1.3.4 Landscape Pattern - Vegetation Mapping

    • search.dataone.org
    • cerp-sfwmd.dataone.org
    Updated Aug 12, 2024
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    Greg Greg Desmond (2024). RECOVER MAP 3.1.3.4 Landscape Pattern - Vegetation Mapping [Dataset]. http://doi.org/10.25497/D78C7C
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    Dataset updated
    Aug 12, 2024
    Dataset provided by
    CERP - South Florida Water Management District
    Authors
    Greg Greg Desmond
    Time period covered
    Jan 1, 1995 - Jan 1, 2007
    Area covered
    Description

    The AHF system has been deployed in a series of survey campaigns to collect over 60,000 points covering Everglades National Park, Loxahatchee National Wildlife Refuge, Water Conservation Areas 2 and 3, portions of Big Cypress National Preserve, as well as areas along the Lake Okeechobee littoral zone. Since the AHF System is able to penetrate Everglades vegetation and water cover, it has provided an unprecedented regional view of Everglades topographic gradients and sub-water surface structure. These data are now being used to simulate Everglades water flow with higher resolution and greater accuracy, to estimate water depths in real-time for field study planning, and as input for habitat models used to forecast the effects of water level changes on various important species. The elevation data collected through this project also formed the basic input to generate a regional topographic surface that is the basis for the Everglades Depth Estimation Network (EDEN). These high accuracy elevation data are made available to anyone through the South Florida Information Access website (http://sofia.usgs.gov) data exchange pages.

    MAP Activity Accomplishment The USGS Airborne Height Finder (AHF) System was used to perform topographic surveys in Water Conservation Area 3A within the extents of the Lone Palm Head and North of Lone Palm Head 7.5-minute topographic map quadrangles as specified in the MAP/COE Interagency Agreement. The AHF system has been used throughout South Florida for elevation data collection because traditional surveying methods are too difficult, too costly, or simply impossible to use in the harsh wetland environment and broadly inaccessible terrain of the Florida Everglades. This is especially true considering the shear size of the hydrodynamic and biological modeling domains. The AHF is a helicopter-based instrument that uses a GPS receiver, a computer, and a mechanized plumb bob to make measurements. These data were post processed to the reference stations that are part of the AHF geodetic control network. For reasons of accuracy, these reference stations are located no more then 15 kilometers from the helicopter during AHF operations. The GPS data were post processed using Ashtech’s PNAV On The Fly (OTF) software to obtain the trajectory of the AHF platform. These results are then processed through an in-house software package that separates the actual survey points and results from the trajectory. The points are manually checked to ensure data accuracy and completeness. Digital elevation models (DEMs) were then generated from the elevation point data. Existing elevation data derived from LiDAR data for this area were replaced with AHF derived DEMs for reasons of vertical accuracy. The DEMs have been posted on the South Florida Information Access (SOFIA) website: http://sofia.usgs.gov/exchange/desmond/desmondelev.html.

  19. a

    USGS Topo Basemap - The National Map (Map Service)

    • hub.arcgis.com
    Updated Dec 4, 2018
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    Florida Department of Environmental Protection (2018). USGS Topo Basemap - The National Map (Map Service) [Dataset]. https://hub.arcgis.com/maps/FDEP::usgs-topo-basemap-the-national-map-map-service
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    Dataset updated
    Dec 4, 2018
    Dataset authored and provided by
    Florida Department of Environmental Protection
    Area covered
    Description

    USGS Topo is a tile cache base map service that combines the most current data in The National Map (TNM), and other public-domain data, into a multi-scale topographic reference map. Data themes included are Boundaries, Geographic Names, Transportation, Contours, Hydrography, Land Cover, Shaded Relief, and Bathymetry. This service is designed to provide a seamless view of TNM data in a geographic information system (GIS) accessible format.This service is published by USGS on The National Map and is refreshed annually.Please reference metadata and USGS for contact information. Contact: GIS.Librarian@FloridaDEP.gov

  20. U

    Looe Key, Florida, 2016-2017 Seafloor Elevation Stability Models, Maps, and...

    • data.usgs.gov
    • catalog.data.gov
    Updated Jun 30, 2021
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    Kelly Murphy; Kimberly Yates (2021). Looe Key, Florida, 2016-2017 Seafloor Elevation Stability Models, Maps, and Tables [Dataset]. http://doi.org/10.5066/P9YDBJDO
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    Dataset updated
    Jun 30, 2021
    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
    Jul 21, 2016 - Dec 17, 2017
    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 2016 and 2017 at Looe Key coral reef near Big Pine Key, Florida (FL), within a 19.74 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 2016 and 2017 using the methods of Yates and others (2017). A seafloor stability threshold was determined for the 2016-2017 Looe Key elevation-change dataset based on the vertical uncertainty of the 2016 and 2017 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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jeradk18@tamu.edu_tamu (2019). Tampa Bay, FL Bathymetric/Topographic Digital Elevation Model - Gulf of Mexico (GCOOS) [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/8c0b61b61fd1485baad496415bd91f68

Tampa Bay, FL Bathymetric/Topographic Digital Elevation Model - Gulf of Mexico (GCOOS)

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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.

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