62 datasets found
  1. n

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

    • cmr.earthdata.nasa.gov
    • search.dataone.org
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    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.
    
  2. 2018 Miami-Dade ITD Lidar: Miami-Dade County, FL

    • fisheries.noaa.gov
    las/laz - laser
    Updated Oct 4, 2019
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    OCM Partners (2019). 2018 Miami-Dade ITD Lidar: Miami-Dade County, FL [Dataset]. https://www.fisheries.noaa.gov/inport/item/64464
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    las/laz - laserAvailable download formats
    Dataset updated
    Oct 4, 2019
    Dataset provided by
    OCM Partners
    Time period covered
    Apr 25, 2018 - Dec 5, 2018
    Area covered
    Description

    GPI Geospatial Inc., operating under the authority of Miami-Dade County Aviation Department, as per contract number E15-MDAD-01, has been tasked by Miami Dade County's Information Technology Department (ITD) to provide LiDAR data for 615 square miles, including the classification of the data and the creation of hydro-enforced Digital Elevation Model (DEM). GPI Geospatial has created a file geod...

  3. NOAA Office for Coastal Management Coastal Inundation Digital Elevation...

    • catalog.data.gov
    Updated Oct 31, 2024
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    NOAA Office for Coastal Management (Point of Contact, Custodian) (2024). NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Florida, Keys [Dataset]. https://catalog.data.gov/dataset/noaa-office-for-coastal-management-coastal-inundation-digital-elevation-model-florida-keys1
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    Florida Keys, Florida
    Description

    These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr. This metadata record describes the Florida Keys digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications. This DEM includes data for Miami-Dade and Monroe Counties. The DEM was produced from the following lidar data sets: 1. 2015 Miami-Dade County, Florida Lidar 2. 2015 NOAA NGS Topobathy Lidar: Dry Tortugas 3. 2018 - 2019 NOAA NGS Topobathy Lidar Hurricane Irma: Miami to Marquesas Key, FL The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

  4. a

    County Flood Criteria 2022

    • gis-mdc.opendata.arcgis.com
    • opendata.miamidade.gov
    • +1more
    Updated Dec 31, 2022
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    Miami-Dade County, Florida (2022). County Flood Criteria 2022 [Dataset]. https://gis-mdc.opendata.arcgis.com/maps/MDC::county-flood-criteria-2022
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    Dataset updated
    Dec 31, 2022
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    A line feature class of the county flood criteria boundaries within Miami-Dade County. The purpose of the Miami-Dade County Flood Criteria Map is to determine the minimum ground surface elevation of developed properties, crown/grade of roads, and secondary canal banks based on a 10-year, 24-hour storm event, 2060 scenario with SLR, and the minimum top elevation of seawalls, unless higher elevations are required by other regulatory applicable standards. Available for review and comment October 22, 2021 through December 22, 2021.Updated: Every 10 yrs The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

  5. n

    Everglades Depth Estimation Network (EDEN) October 2007 Digital Elevation...

    • access.earthdata.nasa.gov
    • search.dataone.org
    Updated Apr 20, 2017
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    (2017). Everglades Depth Estimation Network (EDEN) October 2007 Digital Elevation Model [Dataset]. https://access.earthdata.nasa.gov/collections/C2231548584-CEOS_EXTRA
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    Dataset updated
    Apr 20, 2017
    Time period covered
    Jan 1, 1995 - Dec 31, 2007
    Area covered
    Description

    This is the 1st release of the third version of an Everglades Depth Estimation Network (EDEN) digital elevation model (DEM) generated from certified airborne height finder (AHF) and airboat collected ground surface elevations for the Greater Everglades Region. This version includes all data collected and certified by the USGS prior to the conclusion of the AHF collection process. It differs from the previous elevation model (EDEN_EM_JAN07) in that the modeled area of WCA3N (all the WCA3A area north of I-75) is increased while the modeled area of the Big Cypress National Preserve (BNCP) has been both refined and reduced to the region where standard error of cross-validation points falls below 0.16 meters. EDEN offers a consistent and documented dataset that can be used to guide large-scale field operations, to integrate hydrologic and ecological responses, and to support biological and ecological assessments that measure ecosystem responses to Comprehensive Everglades Restoration Plan. To produce historic and near-real time maps of water depths, the EDEN requires a system-wide DEM of the ground surface.

     These data were specifically created for the development of water depth information using interpolated water surfaces from the EDEN stage data network.
    
  6. d

    Data from: Points for Maps: ArcGIS layer providing the site locations and...

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Nov 21, 2025
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    U.S. Geological Survey (2025). Points for Maps: ArcGIS layer providing the site locations and the water-level statistics used for creating the water-level contour maps [Dataset]. https://catalog.data.gov/dataset/points-for-maps-arcgis-layer-providing-the-site-locations-and-the-water-level-statistics-u
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    Dataset updated
    Nov 21, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    Statistical analyses and maps representing mean, high, and low water-level conditions in the surface water and groundwater of Miami-Dade County were made by the U.S. Geological Survey, in cooperation with the Miami-Dade County Department of Regulatory and Economic Resources, to help inform decisions necessary for urban planning and development. Sixteen maps were created that show contours of (1) the mean of daily water levels at each site during October and May for the 2000-2009 water years; (2) the 25th, 50th, and 75th percentiles of the daily water levels at each site during October and May and for all months during 2000-2009; and (3) the differences between mean October and May water levels, as well as the differences in the percentiles of water levels for all months, between 1990-1999 and 2000-2009. The 80th, 90th, and 96th percentiles of the annual maximums of daily groundwater levels during 1974-2009 (a 35-year period) were computed to provide an indication of unusually high groundwater-level conditions. These maps and statistics provide a generalized understanding of the variations of water levels in the aquifer, rather than a survey of concurrent water levels. Water-level measurements from 473 sites in Miami-Dade County and surrounding counties were analyzed to generate statistical analyses. The monitored water levels included surface-water levels in canals and wetland areas and groundwater levels in the Biscayne aquifer. Maps were created by importing site coordinates, summary water-level statistics, and completeness of record statistics into a geographic information system, and by interpolating between water levels at monitoring sites in the canals and water levels along the coastline. Raster surfaces were created from these data by using the triangular irregular network interpolation method. The raster surfaces were contoured by using geographic information system software. These contours were imprecise in some areas because the software could not fully evaluate the hydrology given available information; therefore, contours were manually modified where necessary. The ability to evaluate differences in water levels between 1990-1999 and 2000-2009 is limited in some areas because most of the monitoring sites did not have 80 percent complete records for one or both of these periods. The quality of the analyses was limited by (1) deficiencies in spatial coverage; (2) the combination of pre- and post-construction water levels in areas where canals, levees, retention basins, detention basins, or water-control structures were installed or removed; (3) an inability to address the potential effects of the vertical hydraulic head gradient on water levels in wells of different depths; and (4) an inability to correct for the differences between daily water-level statistics. Contours are dashed in areas where the locations of contours have been approximated because of the uncertainty caused by these limitations. Although the ability of the maps to depict differences in water levels between 1990-1999 and 2000-2009 was limited by missing data, results indicate that near the coast water levels were generally higher in May during 2000-2009 than during 1990-1999; and that inland water levels were generally lower during 2000-2009 than during 1990-1999. Generally, the 25th, 50th, and 75th percentiles of water levels from all months were also higher near the coast and lower inland during 2000–2009 than during 1990-1999. Mean October water levels during 2000-2009 were generally higher than during 1990-1999 in much of western Miami-Dade County, but were lower in a large part of eastern Miami-Dade County.

  7. n

    Data from: High-Resolution Bathymetry of Florida Bay

    • cmr.earthdata.nasa.gov
    • search.dataone.org
    • +1more
    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.

  8. d

    Data from: Everglades Depth Estimation Network (EDEN) January 2010 Digital...

    • search.dataone.org
    • dataone.org
    Updated Oct 29, 2016
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    John Jones (2016). Everglades Depth Estimation Network (EDEN) January 2010 Digital Elevation Model for use with EDENapps [Dataset]. https://search.dataone.org/view/bfe6d3e2-8e3f-4708-b00d-26f316602cd6
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    John Jones
    Time period covered
    Jan 1, 1995 - Aug 1, 2007
    Area covered
    Description

    This is the 1st release of the fourth version of an Everglades Depth Estimation Network (EDEN) digital elevation model (DEM) generated from certified airborne height finder (AHF) and airboat collected ground surface elevations for the Greater Everglades Region. Collectively, these data are referred to as "High Accuracy Elevation Data" (HAED). This version differs from the previous elevation model (EDEN_EM_OCT07) in several ways. First, the kriging algorithm applied to newly modeled subareas was changed from ordinary to universal kriging - resulting in slightly lower errors during cross-validation and accuracy assessment. Second, to increase accuracy in Water Conservation Area 1 (WCA1), the most challenging EDEN subarea from an elevation modeling standpoint, the Conservation area is subdivided into 3 zones (North, Central, South). Boundaries between the North, Central and South zones are based upon landscape units defined in the CERP Monitoring and Assessment Plan, Part 1, Figure 3-20 on p. 3-38 (p. 36 in the pdf file)) at http://www.evergladesplan.org/pm/recover/recover_docs/map/MAP_3.1_GE.pdf.

    The South landscape unit (representing approximately the southern third of WCA1) was further divided into two zones (east and west, termed "Southeast" and "Southwest") based on marked changes in slope and aspect data generated from a DEM of the South landscape unit as a whole. Division of WCA1 into 4 zones reduces errors estimated by comparing DEM modeled water depths with those measured by EDEN Principal Investigators in the field. Subdivision of the South landscape unit into east and west zones resulted in lower error estimates for the Southeast zone without significantly affecting (i.e., improving or degrading) the quality of the Southwest zone - an area where DEM modeling is most challenging. To reduce artificial breaks in elevation along WCA1 subarea boundaries, models were overlapped by 1 cell at these boundaries and, for the North, Central and South zone boundaries, overlapping model values were averaged. For the boundaries between the Southwest and Southeast zones, cell values were "blended" based on weighted distance from the boundary edge. Finally, points along the North / Central and Central / South zone edges were subjectively selected and changed by adding or subtracting 0.03 meters (3 cm) to particular cells based on nearby cell values. This slightly reduces apparent artifacts without drastically affecting the integrity of the model. The EDEN offers a consistent and documented dataset that can be used to guide large-scale field operations, to integrate hydrologic and ecological responses, and to support biological and ecological assessments that measure ecosystem responses to the Comprehensive Everglades Restoration Plan. To produce historic and near-real time maps of water depths, the EDEN requires a system-wide DEM of the ground surface.

    This file is intended specifically for use in the EDEN applications software. Therefore, it is a modification of the eden DEM released in January of 2010 (i.e., eden_em_ja10). The released January 2010 data was modified in two ways. First, elevation values have been converted from meters (m) to centimeters (cm). Second, data have been removed from the southern Big Cypress National Preserve and northwestern Everglades National Park area so that this DEM boundary matches the EDEN boundary still in use in EDEN applications software. Aside from this difference in horizontal units and area of coverage, the following data documentation applies.

  9. a

    USGS 7.5 Minute USGS Sheet

    • gis-mdc.opendata.arcgis.com
    • opendata.miamidade.gov
    • +2more
    Updated Jun 6, 2018
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    Miami-Dade County, Florida (2018). USGS 7.5 Minute USGS Sheet [Dataset]. https://gis-mdc.opendata.arcgis.com/datasets/usgs-7-5-minute-usgs-sheet
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    Dataset updated
    Jun 6, 2018
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    A polygon feature class that represents the grid of the United States Geological Survey (USGS) 7.5 minute quadrangles (quad) that are commonly associated with topographic map sheets, Digital Line Graphics (DLG), and Digital Raster Graphics (DRG) files.Updated: Not Planned The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

  10. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
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    U.S. Geological Survey, ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/635ba00f47714cc4923ec8eb9d3b20d0/html
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    Dataset provided by
    U.S. Geological Survey
    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

  11. a

    County Flood Criteria 2022 - Raster

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    Updated Dec 28, 2023
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    Miami-Dade County, Florida (2023). County Flood Criteria 2022 - Raster [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/documents/68ee47dfc3af4b8daa7d63ebdbb0d165
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    Dataset updated
    Dec 28, 2023
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    A raster dataset of the county flood criteria boundaries within Miami-Dade County. The purpose of the Miami-Dade County Flood Criteria Map is to determine the minimum ground surface elevation of developed properties, crown/grade of roads, and secondary canal banks based on a 10-year, 24-hour storm event, 2060 scenario with SLR, and the minimum top elevation of seawalls, unless higher elevations are required by other regulatory applicable standards. Available for review and comment October 22, 2021 through December 22, 2021.Download County Flood Criteria Raster

  12. n

    Data from: High Accuracy Elevation Data

    • access.earthdata.nasa.gov
    • cmr.earthdata.nasa.gov
    html
    Updated Apr 20, 2017
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    (2017). High Accuracy Elevation Data [Dataset]. https://access.earthdata.nasa.gov/collections/C2231549649-CEOS_EXTRA
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    htmlAvailable download formats
    Dataset updated
    Apr 20, 2017
    Time period covered
    Jan 1, 1995 - Present
    Area covered
    Description

    The U.S. Geological Survey (USGS) is coordinating the aquisition of high accuracy elevation data. Three formats of the data are available for each data set: .cor files which contain complete lists of Global Positioning System point files, .asc files which are the same as the .cor files but have been reformatted to process into ARC/INFO coverages, and .e00 files which are the ARC/INFO coverages. The files are available in the same 7.5- by 7.5-minute coverages as USGS quadrangles. The elevation data is collected on a 400 by 400 meter grid. The elevations are referenced to the horizontal North American Datum of 1983 (NAD83) and vertical North American Vertical Datum of 1988 (NAVD88).

     This project is performing 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 are also being 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 have 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) are being collected in critical areas using state-of-the-art differential global positioning system (GPS) technology and data processing techniques.
    
  13. n

    Data from: Florida Bay 1890 and 1990 data

    • cmr.earthdata.nasa.gov
    • access.earthdata.nasa.gov
    html
    Updated Apr 25, 2017
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    (2017). Florida Bay 1890 and 1990 data [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C2231554102-CEOS_EXTRA.html
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    htmlAvailable download formats
    Dataset updated
    Apr 25, 2017
    Time period covered
    Jan 1, 1889 - Dec 31, 1999
    Area covered
    Description

    The maps of the tracklines are linked to the corresponding data sets which contain values for X (easting), Y (northing), Z (elevation), and the Root Mean Square (RMS) error.

     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 has not been systematically mapped in nearly 100 years, and some shallow areas of the bay have never been mapped. 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. Digitizing the historical shoreline and bathymetric data for comparison with modern data provides information on sedimentation rates within the Bay.
    
  14. 2017 SWFWMD Lidar DEM: Hillsborough County, FL

    • fisheries.noaa.gov
    geotiff
    Updated Apr 26, 2019
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    OCM Partners (2019). 2017 SWFWMD Lidar DEM: Hillsborough County, FL [Dataset]. https://www.fisheries.noaa.gov/inport/item/66859
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    geotiffAvailable download formats
    Dataset updated
    Apr 26, 2019
    Dataset provided by
    OCM Partners
    Time period covered
    Jan 31, 2017 - Mar 4, 2017
    Area covered
    Description

    Dewberry collected 1200 square miles of lidar data in Hillsborough County, Florida. The nominal pulse spacing for this project was 1 point every 0.25 meters or a nominal pulse density of 16 points per square meter. Dewberrry used proprietary procedures to classify the LAS according to project specifications: 1-Unclassified, 2-Ground, 6-Building Rooftops, 7-Low Noise, 9-Water, 17- Bridge Deck...

  15. a

    Contour

    • gis-mdc.opendata.arcgis.com
    • opendata.miamidade.gov
    • +1more
    Updated Jun 5, 2018
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    Miami-Dade County, Florida (2018). Contour [Dataset]. https://gis-mdc.opendata.arcgis.com/datasets/contour
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    Dataset updated
    Jun 5, 2018
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    A line feature class of five feet Contour lines (topography) provided by the Florida Water Management District.Updated: Every 10 yrs The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

  16. w

    Data from: Configuration of the Base of the Surficial Aquifer System in Dade...

    • data.wu.ac.at
    • dataone.org
    html, zip
    Updated Dec 11, 2017
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    Department of the Interior (2017). Configuration of the Base of the Surficial Aquifer System in Dade County, USGS WRIR 90-4108, figure 13 [Dataset]. https://data.wu.ac.at/schema/data_gov/MzAxNGRhNDMtZTMxNi00NmRiLWE1NjctMjk5ZjI1ZmZlMTZk
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    zip, htmlAvailable download formats
    Dataset updated
    Dec 11, 2017
    Dataset provided by
    Department of the Interior
    Area covered
    72e9d0e0d177c6f6cd14bb7a2cb51e74899da79a
    Description

    Contours of the base of the surficial aquifer system are shown on this map. The base of the aquifer system occurs at a relatively uniform elevation of 180 to 220 ft. below sea level over most of Dade County. The contour interval is 20 feet.

  17. a

    Groundwater Level October 2040

    • gis-mdc.opendata.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Dec 3, 2021
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    Miami-Dade County, Florida (2021). Groundwater Level October 2040 [Dataset]. https://gis-mdc.opendata.arcgis.com/datasets/a33b37f5ee704fe2a411e1ac66431512
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    Dataset updated
    Dec 3, 2021
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    This raster provides the average groundwater elevations in NAVD88 for the month of October, based on the results of the U.S. Geological Survey groundwater model for Miami-Dade – Urban Miami-Dade (UMD), used to predict groundwater levels for year 2040, considering sea level rise above the baseline conditions, using NRCIII forecast, which assumes a 1.0 ft sea-level rise increase, from a year 2009 -0.9 ft mean sea-level NAVD88 to a 2040 0.1 ft.

  18. n

    Configuration of the Top of the Gray Limestone Aquifer in Dade County, USGS...

    • cmr.earthdata.nasa.gov
    • search.dataone.org
    • +1more
    zip
    Updated Apr 20, 2017
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    (2017). Configuration of the Top of the Gray Limestone Aquifer in Dade County, USGS WRIR 90-4108, figure 14 [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C2231550162-CEOS_EXTRA.html
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    Dataset updated
    Apr 20, 2017
    Time period covered
    Jan 1, 1939 - Dec 31, 1987
    Area covered
    Description

    Contours of the elevation of the top of the highly permeable gray limestone aquifer in the Tamiami Formation are shown in this map. The aquifer, as mapped, includes all intervals of the gray limestone that are at least 10 ft. thick and have an estimated hydraulic conductivity of at least 100ft/d. Also included are highly permeable beds of coarse, shelly sands (sometimes with sandstone) that are contiguous with limestone above or below or are likely to connect laterally with the limestone. The contour interval is 10 feet.

     Southeastern Florida is underlain by geologic units of varying permeability from land surface to depths between 150 and 400 ft. These units form an unconfined aquifer system that is the source of most of the potable water used in the area. This body of geologic units is called the surficial aquifer system. In parts of Dade, Broward, and Palm Beach Counties, a highly permeable part of that aquifer system has been named the Biscayne aquifer (Parker, 1951; Parker and others, 1955). Adjacent to or underlying the Biscayne aquifer are less-permeable but potentially important water-bearing units that also are part of the surficial aquifer system. Most previous hydrogeologic investigations in southeastern Florida concentrated on the populated coastal area. Drilling and monitoring activities were commonly restricted to zones used for water supply or to overlying zones. Hence, information on the characteristics of the western or deeper parts of the Biscayne aquifer and of sediments below the Biscayne aquifer in the surficial aquifer system was insufficient for present needs. Continuing increases in the demand for water from the surficial aquifer system in the highly populated coastal area of southeastern Florida and attendant concerns for the protection and management of the water supply have resulted in a study by the U.S. Geological Survey (USGS), in cooperation with the South Florida Water Management District, to define the extent of the surficial aquifer system and its regional hydrogeologic characteristics. The overall objectives of the regional study are to determine the geologic framework of the surficial aquifer system, the areal and vertical water-quality distribution, factors that affect water quality, the hydraulic characteristics of the components of the surficial aquifer system, and to describe ground-water flow in the aquifer system.
    
  19. n

    Data from: Florida Bay 1990 trackline map

    • access.earthdata.nasa.gov
    • dataone.org
    • +2more
    html
    Updated Apr 25, 2017
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    (2017). Florida Bay 1990 trackline map [Dataset]. https://access.earthdata.nasa.gov/collections/C2231549559-CEOS_EXTRA
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    htmlAvailable download formats
    Dataset updated
    Apr 25, 2017
    Time period covered
    Jan 1, 1995 - Dec 31, 1999
    Area covered
    Description

    The map shows the tracklines for bathymetric data collected between 1995 and 1999 for Florida Bay. The areas on the map are linked to the corresponding data sets which contain values for X (easting), Y (northing), Z (elevation), and the RMS computed from Ashtech PNAV software. The data set is labeled 1990 for easy comparison. The project duration was a decade.

     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 has 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. 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.
    
  20. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
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    U.S. Geological Survey, ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/ac41976d63c4426799ef5cef99c3a651/html
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    Dataset provided by
    U.S. Geological Survey
    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

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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

Data from: High Accuracy Elevation Data - Water Conservation Areas and Greater Everglades Region

USGS_SOFIA_HAED_WCA_Everglades_Not provided

Related Article
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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.
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