Points spaced 50 feet apart representing ground surface were derived from classified LiDAR flown by Digital Aerial Surveys LLC between May 7, 2018 and March 1, 2019. The Lee County portion was flown May 8 to October 29, 2018.Compressed LAS files (Albers meters) were downloaded from USGS' ftp site. LAZ were decompressed using rapidlasso's LASzip. GeoCue's LP360 for ArcMap tools were utilized to extract point coordinates from the LAS surface using points classes Ground (2), Water (9) and Bridge Deck (17). The points generated from these coordinates were projected to Florida State Plane West, feet using ArcGIS' Project tool and the elevation converted from meters to feet (m * 3.28084). The X and Y coordinates in this dataset are in State Plane feet. Elevation is in feet NAVD 88 vertical datum.The horizontal accuracy is +/-0.783 meters or +/-2.57 feet (at the 95% confidence level) and the vertical accuracy is +/-0.175 meters (+/-0.57 feet) for nonvegetated and +/-0.190 meters (+/- 0.62 feet) for vegetated areas. See the report, LiDAR Project Report 140G0218F0179, FL SOUTHWEST 2018 D18, prepared by Digital Aerial Solutions, LLC for United States Geological Survey, for full accuracy details.Additional information can be found here: https://coast.noaa.gov/htdata/raster2/elevation/USGS_FL_Southwest_2018_9049/2018_swfl_m9049_met_forHumans.html.

Provide high density LiDAR elevation data map of Lee County, SC. Provide Bare Earth DEM (vegetation removal) of Lee County, SC.

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2' Contour Lines generated from Lee County 1998 Digital Orthophotography project performed by EarthData International. Elevations are in NAVD88, standard vertical error should not exceed 0.6 ft. February-March 1998.

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Spot elevations generated from Lee County 1998 Digital Orthophotography project performed by EarthData International Elevations are in NAVD88. February-March 1998

This dataset provides a representation of ground elevation (in NAVD 88 feet). Spot elevations are evenly spaced every 50 feet. Points on a regular grid were derived from LiDAR LAS files (flown in 2007 as part of the Statewide Regional Evacuation Study) using QChoherent's LP360 software. ASCII XYZ coordinates exported from a "Surface " using Triangulation (TIN) and a cell size of 50 feet were used to generate the points in this dataset.

One-foot and two-foot contours derived from LiDAR terrain model. The DTM was developed to support the Florida Division of Emergency Management (FDEM) development and maintenance of Regional Evacuation Studies (Study), which include vulnerability assessments and assist disaster response personnel in understanding threats to Florida's citizens and visitors. Breaklines improve the digital elevation model in areas where the point density is insufficient.This data set is one component of a digital terrain model (DTM) for the Florida Division of Emergency Management's (FDEM) Project Management and Technical Services for Mapping within Coastal Florida (Contract 07-HS-34-14-00-22-469), encompassing the entire coastline of Florida. The dataset is comprised of mass points, 2-D and 3-D breakline features, 1-foot and 2-foot contours, ground control, vertical test points, and a footprint of the data set, in the ESRI ArcGIS File Geodatabase format. In accordance with the Baseline Specifications 1.2, the following breakline features are contained within the database: closed water bodies (lakes, reservoirs, etc) as 2-D or 3-D polygons; linear hydrographic features (streams, shorelines, canals, swales, embankments, etc) as 3-D breaklines; coastal shorelines as 2-D or 3-D linear features; edge of pavement road features as 3-D breaklines; soft features (ridges, valleys, etc.) as 3-D breaklines; low confidence areas as 2-D polygons; island features as 2-D or 3-D polygons; overpasses and bridges as 3-D breaklines. Contours were generated from a gridded DEM: 2-foot contours meet National Map Accuracy Standards, with 1-foot contours for visualization purposes. The LiDAR masspoints are delivered in the LAS file format based on the FDEM's 5,000' by 5,000' grid. Breakline features were captured to develop a hydrologically correct DTM. Bare earth LiDAR masspoint data display a vertical accuracy of at least 0.3-feet root mean square error (RMSE) in open unobscured areas.

Hydrography represented as polygon features digitized from aerial photography.Swamps and Marshes have been added from wetlands (excluding hydric pine) depicted in the SFWMD Land Cover Land Use 2017-2019 dataset.Names are from the following sources:USGS Topographic MapsCity of Cape CoralLehigh Acres Municipal Services Improvement DistrictBoundaries for named water bodies estimated from USGS Topographic maps and GIS data, City of Cape Coral GIS data, and Lehigh Acres Municipal Services Improvement District maps.Boundaries are NOT official and should be used for labeling purposes only.

The plan to acquire bathymetric data for the Caloosahatchee Estuary and Estero Bay areas is to employ two methods which have been developed by the U. S. Geological Survey (USGS) and National Aeronautical and Space Administration (NASA). The USGS method is an acoustic based system named System for Accurate Nearshore Depth Surveys (SANDS), and the NASA method is an airborne LIDAR system named Experimental Advanced Airborne Research Lidar (EAARL). The plan is to use the EAARL system to map shallow (less than 1.5 secchi depth) and non-turbid areas in Estero Bay and nearshore areas. The SANDS system will be used in deeper areas and those which are turbid which includes the Caloosahatchee River.

 High resolution, GPS based bathymetric surveying is a proven method to map river, lake, and ocean floor elevations. Of primary interest to the South Florida Water Management District (SFWMD) is the quantification of the present day bathymetry of Caloosahatchee Estuary and Estero Bay regions. This information can be used by water management decision-makers to develop of Minimum Flows and Levels (MFL) and better preserve fragile habitats. The areas in and around the Caloosahatchee Estuary and Estero Bay Watershed have undergone dramatic increases in the rate of residential and commercial development as well as population growth during the past 15 years. As a result, a series of initiatives have been proposed to balance development and environmental interests in the region. Several recent initiatives including the development MFL and the Southwest Florida Feasibility Study (SWFFS) necessitate the development of hydrodynamic models of coastal waters in the Caloosahatchee Estuary and Estero Bay areas. One of the important data requirements for these models is the bathymetry. The information available at this time is dated (the last complete bathymetric survey is over 100 years old) and needs to be upgraded with a new survey. In addition, recommendations of the Estero Bay and Watershed Assessment completed in November of 1999 recommended the development of a Bay hydrodynamic and water quality model. Updated river, bay, and coastal bathymetry is required for these efforts. The area for bathymetry collection and interpretation includes Estero Bay, Charlotte Harbor, Pine Island Sound, offshore regions of Sanibel and Captive Islands, and the Caloosahatchee, Loxahatchee and St. Lucie Rivers. In addition, a need for an Estero Bay and Charlotte Harbor estuarine mixing model has been identified by the Southwest Florida Regional Restoration Coordination Team and the Southwest Florida Feasibility Study. In order to create an accurate numerical model, current bathymetric data must be obtained. Bathymetry data is also needed for the creation of a seagrass vision maps (an NEP effort) and to populate the species response models being created as assessment tools for several restoration programs.

The CHHA is defined in the Lee Plan as the area below the elevation of the category 1 storm surge line as established by a Sea, Lake, and Overland Surges from Hurricanes (SLOSH) computerized storm surge model. Published by the Southwest Florida Regional Planning Council. Adopted November 22, 1999 by ORD 99-17, Amended by ORDs 09-17 and 16-13.Current area based on 2010 SWFRPC Report.

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description: The dataset is a digital elevation model (DEM), in GeoTiff format, of the bathymetry of DeQueen Lake, Sevier County, Arkansas, below a pool elevation of 474 ft above the North American Vertical Datum of 1988 (NAVD88). The DEM was derived from a terrain (digital terrain model, or DTM) created from a feature dataset of XYZ (point) data from an aerial LiDAR survey conducted in March, 2008 for the U.S. Army Corps of Engineers, Little Rock District, and a bathymetric survey conducted in July, 2015, by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for multi-beam sonar surveys similar to those described by Lee, K.G. (2013) and Huizinga (2016). References: Lee, K.G., 2013, Estimation of reservoir storage capacity using multibeam sonar and terrestrial LiDAR, Randy Poynter Lake, Rockdale County, Georgia, 2012: U.S. Geological Survey Scientific Investigations Map 3265, 1 sheet, https://pubs.usgs.gov/sim/3265/; Huizinga, R.J., 2016, Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River near Kansas City, Missouri, June 24, 2015: U.S. Geological Survey Scientific Investigations Report 20165061, 93 p., http://dx.doi.org/10.3133/sir20165061.; abstract: The dataset is a digital elevation model (DEM), in GeoTiff format, of the bathymetry of DeQueen Lake, Sevier County, Arkansas, below a pool elevation of 474 ft above the North American Vertical Datum of 1988 (NAVD88). The DEM was derived from a terrain (digital terrain model, or DTM) created from a feature dataset of XYZ (point) data from an aerial LiDAR survey conducted in March, 2008 for the U.S. Army Corps of Engineers, Little Rock District, and a bathymetric survey conducted in July, 2015, by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for multi-beam sonar surveys similar to those described by Lee, K.G. (2013) and Huizinga (2016). References: Lee, K.G., 2013, Estimation of reservoir storage capacity using multibeam sonar and terrestrial LiDAR, Randy Poynter Lake, Rockdale County, Georgia, 2012: U.S. Geological Survey Scientific Investigations Map 3265, 1 sheet, https://pubs.usgs.gov/sim/3265/; Huizinga, R.J., 2016, Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River near Kansas City, Missouri, June 24, 2015: U.S. Geological Survey Scientific Investigations Report 20165061, 93 p., http://dx.doi.org/10.3133/sir20165061.

Geologic map of the Pennington Gap Quadrangle, Lee County, Virginia, and Harlan County, Kentucky. The base maps for this series were developed from U.S. Geological Survey topographic 7.5-minute quadrangle maps (1:24,000 scale). Contour interval is in feet. For more information on this resource or to download the map PDF, please see the links provided.