Building Footprints symbolized by Feature Code to match the Community Base Map.Data updated monthly.Data refreshed every 24 hours.

These data provide an accurate high-resolution shoreline compiled from imagery of PORT OF TAMPA, FL . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

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.

Public Schools in Hillsborough County.Data updated annually in AugustData refreshed every 24 hours.

The NOAA Coastal Change Analysis Program (C-CAP) produces national standardized land cover and change products for the coastal regions of the U.S. C-CAP products inventory coastal intertidal areas, wetlands, and adjacent uplands with the goal of monitoring changes in these habitats through time. The timeframe for this metadata is summer 2021. These maps are developed utilizing high resolution aerial imagery, along with lidar and various available ancillary information, and can be used to track changes in the landscape through time. This trend information gives important feedback to managers on the success or failure of management policies and programs and aid in developing a scientific understanding of the Earth system and its response to natural and human-induced changes. This understanding allows for the prediction of impacts due to these changes and the assessment of their cumulative effects, helping coastal resource managers make more informed regional decisions.

The coverage is the historical extent of seagrass beds in Tampa Bay. Vector coverage was rasterized using ELAS software. The project was completed by US Fish and Wildlife Service and FWC/FMRI during the mid 1980's.

The coverage is the extent of sea grass beds in Tampa Bay in 1992.

These data provide an accurate high-resolution shoreline compiled from imagery of Old Tampa Bay, FL . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://inport.nmfs.noaa.gov/inport/item/39808

City of Tampa local atlas section boundaries for all land areas in Hillsborough County. Follows the PLSS section boundaries.No data update planned.

Land Use/Land Cover was obtained from the Southwest Florida Water Management District. The 2011 Land Use/Classification dataset was used as the base starting point, in the creation of the 2014 Land Use/Classification dataset. Photointerpretation (at a scale of 1:7,000) and edits (at a scale of 1:5,000) were performed on the 2014 Land Use/Classification dataset directly on screen. Quality Control (QC) was performed on screen.

Local Historic Districts within the City of Tampa.Data updated as needed.Data refreshed every 24 hours.

The coverage is the historical extent of sea grass beds in Tampa Bay in 1990.

These data were automated to provide an accurate high-resolution historical shoreline of Tampa Bay, Florida suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

High Injury Network located with in the city of Tampa.

Stormwater inlets - typically found along the side or roads or in drainage swales.Data updated as needed.Data refreshed every 24 hours.

The drainage basins within the Tampa Bay area as determined by the Tampa Bay Estuary Program.

Road Centerlines within the City of Tampa, Unincorporated Hillsborough County, Plant City and Temple Terrace.Centerlines are suitable for geocoding but not for routing.Data updated daily.Date refreshed every 24 hours.

PLSS Section boundaries for all land areas in Hillsborough County.No data update planned.

This dataset contains detailed shoreline with county boundaries.

Various planning/assessment districts within the City of Tampa.