7 datasets found
  1. 2010 ARRA Lidar: Lee County (SC)

    • fisheries.noaa.gov
    html
    Updated May 1, 2011
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    OCM Partners (2011). 2010 ARRA Lidar: Lee County (SC) [Dataset]. https://www.fisheries.noaa.gov/inport/item/49989
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    htmlAvailable download formats
    Dataset updated
    May 1, 2011
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    Feb 21, 2010 - Mar 25, 2010
    Area covered
    Description

    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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    Contour Lines File Geodatabase (1998)

    • maps.leegov.com
    • hub.arcgis.com
    Updated Mar 7, 2025
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    Lee County Florida GIS (2025). Contour Lines File Geodatabase (1998) [Dataset]. https://maps.leegov.com/datasets/3a537231c5e14cf4a75a98ed8c173a6b
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    Dataset updated
    Mar 7, 2025
    Dataset authored and provided by
    Lee County Florida GIS
    Description

    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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    Waterbodies

    • maps.leegov.com
    • maps-leegis.hub.arcgis.com
    Updated Mar 11, 2025
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    Lee County Florida GIS (2025). Waterbodies [Dataset]. https://maps.leegov.com/items/80194730146645da9144b7eeaa0ac616
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    Dataset updated
    Mar 11, 2025
    Dataset authored and provided by
    Lee County Florida GIS
    Area covered
    Description

    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.

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    Spot Elevations File Geodatabase (2018) - 50' spacing

    • maps.leegov.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Mar 7, 2025
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    Lee County Florida GIS (2025). Spot Elevations File Geodatabase (2018) - 50' spacing [Dataset]. https://maps.leegov.com/datasets/fa46443bed9a470daaaa7b7a7bcae338
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    Dataset updated
    Mar 7, 2025
    Dataset authored and provided by
    Lee County Florida GIS
    Area covered
    Description

    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.

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    Watershed Boundaries for the U.S. Geological Survey National Water Quality...

    • catalog.data.gov
    • data.usgs.gov
    • +4more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Watershed Boundaries for the U.S. Geological Survey National Water Quality Network [Dataset]. https://catalog.data.gov/dataset/watershed-boundaries-for-the-u-s-geological-survey-national-water-quality-network
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    The National Water Quality Network (NWQN) for Rivers and Streams includes 113 surface-water river and stream sites monitored by the U.S. Geological Survey (USGS) National Water Quality Program (NWQP). The NWQN represents the consolidation of four historical national networks: the USGS National Water-Quality Assessment (NAWQA) Project, the USGS National Stream Quality Accounting Network (NASQAN), the National Monitoring Network (NMN), and the Hydrologic Benchmark Network (HBN). The NWQN includes 22 large river coastal sites, 41 large river inland sites, 30 wadeable stream reference sites, 10 wadeable stream urban sites, and 10 wadeable stream agricultural sites. In addition to the 113 NWQN sites, 3 large inland river monitoring sites from the USGS Cooperative Matching Funds (Co-op) program are also included in this annual water-quality reporting Web site to be consistent with previous USGS studies of nutrient transport in the Mississippi-Atchafalaya River Basin. This data release contains geo-referenced digital data and associated attributes of watershed boundaries for 113 NWQN and 3 Co-op sites. Two sites, "Wax Lake Outlet at Calumet, LA"; 07381590, and "Lower Atchafalaya River at Morgan City, LA"; 07381600, are outflow distributaries into the Gulf of Mexico. Watershed boundaries were delineated for the portion of the watersheds between "Red River near Alexandria, LA"; 07355500 and "Atchafalaya River at Melville, LA"; 07381495 to the two distributary sites respectively. Drainage area was undetermined for these two distributary sites because the main stream channel outflows into many smaller channels so that streamflow is no longer relative to the watershed area. NWQN watershed boundaries were derived from the Watershed Boundary Dataset-12-digit hydrologic units (WBD-12). The development of the WBD-12 was a coordinated effort between the United States Department of Agriculture-Natural Resources Conservation Service (USDA-NRCS), the USGS, and the Environmental Protection Agency (EPA) (U.S. Department of Agriculture-Natural Resources Conservation Service, 2012). A hydrologic unit is a drainage area delineated to nest in a multi-level, hierarchical drainage system. Its boundaries are defined by hydrographic and topographic criteria that delineate an area of land upstream from a specific point on a river, stream or similar surface waters. The United States is divided and sub-divided into successively smaller hydrologic units identified by a unique hydrologic unit code (HUC) consisting of two to 12 digits based on the six levels of classification in the hydrologic unit system: regions, sub-regions, accounting units, cataloging units, watersheds, and sub-watersheds. NWQN watershed boundaries were delineated by selecting all sub-watershed polygons that flow into the most downstream WBD-12 polygon in which the NWQN site is located. The WBD-12 attribute table contains 8-digit, 10-digit, and 12-digit HUCs which were used to identify which sub-watersheds flow into the watershed pour point at the NWQN site location. When the NWQN site was located above the pour point of the most downstream sub-watershed, the sub-watershed was edited to make the NWQN site the pour point of that sub-watershed. To aid editing, USGS 1:24,000 digital topographic maps were used to determine the hydrologic divide from the sub-watershed boundary to the NWQN pour point. The number of sub-watersheds which are contained within the NWQN watersheds ranged from less than one to nearly 32,000 internal sub-watersheds. Internal sub-watershed boundaries were dissolved so that a single watershed boundary was generated for each NWQN watershed. Data from this release are presented at the USGS Tracking Water Quality page: http://cida.usgs.gov/quality/rivers/home (Deacon and others, 2015). Watershed boundaries delineated for this release do not take into account non-contributing area, diversions out of the watershed, or return flows into the watershed. Delineations are based solely on contributing WBD-12 polygons with modifications done only to the watershed boundary at the NWQN site location pour point. For this reason calculated drainage areas for these delineated watersheds may not match National Water Information System (MWIS) published drainage areas (http://dx.doi.org/10.5066/F7P55KJN). Deacon, J.R., Lee, C.J., Toccalino, P.L., Warren, M.P., Baker, N.T., Crawford, C.G., Gilliom, R.G., and Woodside, M.D., 2015, Tracking water-quality of the Nation’s rivers and streams, U.S. Geological Survey Web page: http://cida.usgs.gov/quality/rivers, https://dx.doi.org/doi:10.5066/F70G3H51. U.S. Department of Agriculture-Natural Resources Conservation Service, 2012, Watershed Boundary Dataset-12-digit hydrologic units: NRCS National Cartography and Geospatial Center, Fort Worth, Tex., WBDHU12_10May2012_9.3 version, accessed June 2012 at http://datagateway.nrcs.usda.gov.

  6. d

    Geologic Quadrangle Map Series, Geologic map of the Pennington Gap...

    • datadiscoverystudio.org
    htm, pl
    Updated Jan 1, 1973
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    Roen, J.B.; Miller, R.L. (1973). Geologic Quadrangle Map Series, Geologic map of the Pennington Gap Quadrangle, Lee County, Virginia, and Harlan County, Kentucky; USGSGQ-1098 [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/d7195ab70709406bbb541178654a46c8/html
    Explore at:
    htm, plAvailable download formats
    Dataset updated
    Jan 1, 1973
    Authors
    Roen, J.B.; Miller, R.L.
    Area covered
    Description

    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.

  7. d

    Digital elevation model (DEM) of DeQueen Lake, Sevier County, Arkansas,...

    • datadiscoverystudio.org
    • data.usgs.gov
    • +3more
    Updated May 21, 2018
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    (2018). Digital elevation model (DEM) of DeQueen Lake, Sevier County, Arkansas, derived from 2015 terrain dataset.. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/70b3536e100e479b99367b95249dae49/html
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    Dataset updated
    May 21, 2018
    Area covered
    Sevier County, DeQueen Lake
    Description

    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.

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OCM Partners (2011). 2010 ARRA Lidar: Lee County (SC) [Dataset]. https://www.fisheries.noaa.gov/inport/item/49989
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2010 ARRA Lidar: Lee County (SC)

sc2010_arra_lee_m4804_metadata

Explore at:
htmlAvailable download formats
Dataset updated
May 1, 2011
Dataset provided by
OCM Partners, LLC
Time period covered
Feb 21, 2010 - Mar 25, 2010
Area covered
Description

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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