100+ datasets found
  1. Topographic

    • geohub-lcgis.opendata.arcgis.com
    • data.baltimorecity.gov
    • +13more
    Updated Jun 28, 2017
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    esri_en (2017). Topographic [Dataset]. https://geohub-lcgis.opendata.arcgis.com/maps/588f0e0acc514c11bc7c898fed9fc651
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    Dataset updated
    Jun 28, 2017
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    esri_en
    Area covered
    Description

    This topographic map is designed to be used as a basemap and a reference map. The map has been compiled by Esri and the ArcGIS user community from a variety of best available sources. The map is intended to support the ArcGIS Online basemap gallery. For more details on the map, please visit the World Hillshade and World Topographic Map.

  2. 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.

  3. d

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

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Jul 6, 2024
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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.

  4. a

    Topographic Contours 2015 Map Tile

    • hub.arcgis.com
    Updated Dec 16, 2020
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    Tallahassee-Leon County GIS (2020). Topographic Contours 2015 Map Tile [Dataset]. https://hub.arcgis.com/datasets/1f09dbc203734f20879ab2a541343bfb
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    Dataset updated
    Dec 16, 2020
    Dataset authored and provided by
    Tallahassee-Leon County GIS
    Area covered
    Description

    2015 LiDAR derived 2ft topographic contours for Tallahassee and Leon County, Florida. Topographic contours re-projected from NAD83 State Plane to Web Mercator. Source data vertical datum NAVD88.The feature layer used to generate this tile layer can be downloaded as a zipped geodatabase from TLCGIS' geodatahub. Download LinkTLCGIS regularly uses digital orthophotos and planimetric/hydrographic/topographic data to support regulatory functions, land management and acquisition, planning, engineering and habitat restoration projects.This dataset is part of a regularly scheduled update of LiDAR and digital orthophotography products. The dataset was created from source imagery acquired by a Trimble TAC80 natural color digital camera and LAS data acquired by a Optech ALTM HA500 (Pegasus) LIDAR sensor from January 18, 2015 to February 5, 2015.

  5. 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

  6. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
    zip
    Updated Aug 4, 2018
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    U.S. Geological Survey, National Geospatial Technical Operations Center (2018). ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/c210db2aa9ef4a25957ae2ed4f56ba46/html
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    zipAvailable download formats
    Dataset updated
    Aug 4, 2018
    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

  7. Elevations Contours and Depression

    • geodata.dep.state.fl.us
    • hub.arcgis.com
    • +2more
    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.

  8. g

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

    • gisdata.gcoos.org
    • hub.arcgis.com
    • +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://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.

  9. a

    Osceola County 2019 Contours

    • osceola-data-osceola.hub.arcgis.com
    Updated Jun 23, 2023
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    OsceolaGIS (2023). Osceola County 2019 Contours [Dataset]. https://osceola-data-osceola.hub.arcgis.com/datasets/b06c20cdf6f0474da5c4ff4e34cc185d
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    Dataset updated
    Jun 23, 2023
    Dataset authored and provided by
    OsceolaGIS
    Area covered
    Osceola County
    Description

    1' contours drawn for Osceola County from the 2019 DEMs acquired from the FGIO Florida's 2019 LiDAR ProjectData sourced from: LiDAR Resources | State of Florida Geographic Information Office (floridagio.gov)

  10. U

    1 meter Digital Elevation Models (DEMs) - USGS National Map 3DEP...

    • data.usgs.gov
    • datadiscoverystudio.org
    • +4more
    Updated Jan 27, 2017
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    U.S. Geological Survey (2017). 1 meter Digital Elevation Models (DEMs) - USGS National Map 3DEP Downloadable Data Collection [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:77ae0551-c61e-4979-aedd-d797abdcde0e
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    Dataset updated
    Jan 27, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    U.S. Geological Survey
    License

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

    Description

    This is a tiled collection of the 3D Elevation Program (3DEP) and is one meter resolution. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The elevations in this DEM represent the topographic bare-earth surface. USGS standard one-meter DEMs are produced exclusively from high resolution light detection and ranging (lidar) source data of one-meter or higher resolution. One-meter DEM surfaces are seamless within collection projects, but, not necessarily seamless across projects. The spatial reference used for tiles of the one-meter DEM within the conterminous United States (CONUS) is Universal Transverse Mercator (UTM) in units of meters, and in conformance with the North American Datum of 1983 ...

  11. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
    zip
    Updated Jul 5, 2018
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    U.S. Geological Survey, National Geospatial Technical Operations Center (2018). ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/e76050f3f3ce427ea1df83e20104e05c/html
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    zipAvailable download formats
    Dataset updated
    Jul 5, 2018
    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

  12. d

    Data from: Florida Reef Tract 2016-2019 Seafloor Elevation Stability Models,...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Florida Reef Tract 2016-2019 Seafloor Elevation Stability Models, Maps, and Tables [Dataset]. https://catalog.data.gov/dataset/florida-reef-tract-2016-2019-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/
    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 (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 (total of 235,153,117 data points at 2-m horizontal resolution) based on the amount of erosion and accretion during the 2016 to 2019 time period. Seafloor-stability point and triangulated irregular network (TIN) surface models were created for each block 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 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 Pro map packages containing the binned and color-coded stability point and surface (TIN) models, potential coral restoration locations, and habitat files for each block; 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. Coral restoration locations were provided by Mote Marine Laboratory under Special Activity License SAL-18-1724-SCRP.

  13. 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.
    
  14. 2004 Southwest Florida Water Management District Lidar: Sarasota District

    • fisheries.noaa.gov
    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...

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

    • ncei.noaa.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +3more
    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, Vertical Location > Land Surface, geographic bounding box, Pensacola, Perdido Bay, Vertical Location > Sea Floor, Pensacola Beach, Gulf Islands National Seashore, 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).

  16. a

    USGS Topo Basemap - The National Map (Map Service)

    • hub.arcgis.com
    • mapdirect-fdep.opendata.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

  17. d

    RECOVER MAP 3.1.3.4 Landscape Pattern - Vegetation Mapping

    • dataone.org
    • cerp-sfwmd.dataone.org
    • +1more
    Updated Aug 12, 2024
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    Greg Greg Desmond (2024). RECOVER MAP 3.1.3.4 Landscape Pattern - Vegetation Mapping [Dataset]. https://dataone.org/datasets/urn%3Auuid%3Ae429453f-78ee-465a-99b8-3a1205d75fb1
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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.

  18. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
    zip
    Updated Aug 24, 2018
    + more versions
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    U.S. Geological Survey, National Geospatial Technical Operations Center (2018). ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/9751d3fe478f42cd9a1088aaba77c800/html
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    zipAvailable download formats
    Dataset updated
    Aug 24, 2018
    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

  19. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
    zip
    Updated Jul 30, 2018
    + more versions
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    U.S. Geological Survey, National Geospatial Technical Operations Center (2018). ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/48b24aa919d14f52a02c1e63dc0365d1/html
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    zipAvailable download formats
    Dataset updated
    Jul 30, 2018
    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

  20. d

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

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Looe Key, Florida, 2016-2017 Seafloor Elevation Stability Models, Maps, and Tables [Dataset]. https://catalog.data.gov/dataset/looe-key-florida-2016-2017-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
    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 elevation change) were created and used to define levels of stability and instability for each elevation-change value (4,934,364 data points at 2-m horizontal resolution) based on the amount of erosion and accretion during the 2016 to 2017 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 ten habitat types found at Looe Key. 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. Coral restoration locations were provided by Mote Marine Laboratory under Special Activity License SAL-18-1724-SCRP.

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esri_en (2017). Topographic [Dataset]. https://geohub-lcgis.opendata.arcgis.com/maps/588f0e0acc514c11bc7c898fed9fc651
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Topographic

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Dataset updated
Jun 28, 2017
Dataset provided by
Esrihttp://esri.com/
Authors
esri_en
Area covered
Description

This topographic map is designed to be used as a basemap and a reference map. The map has been compiled by Esri and the ArcGIS user community from a variety of best available sources. The map is intended to support the ArcGIS Online basemap gallery. For more details on the map, please visit the World Hillshade and World Topographic Map.

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