100+ datasets found
  1. V

    Virginia LiDAR Download Application

    • data.virginia.gov
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Feb 27, 2024
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    Prince William County (2024). Virginia LiDAR Download Application [Dataset]. https://data.virginia.gov/dataset/virginia-lidar-download-application
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    html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Feb 27, 2024
    Dataset provided by
    Prince William County, Virginia
    Authors
    Prince William County
    Area covered
    Virginia
    Description

    Virginia LiDAR

    The Virginia LiDAR Inventory Web Mapping Application provides access to LiDAR point cloud, bare earth digital terrain elevation models (DEM's) and individual project metadata collected in the Commonwealth of Virginia according to the USGS 3DEP specification. The application links to resources served from NOAA and USGS data portals.

  2. d

    2014 U.S. Geological Survey CMGP LiDAR: Post Sandy (Virginia).

    • datadiscoverystudio.org
    Updated Feb 7, 2018
    + more versions
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    (2018). 2014 U.S. Geological Survey CMGP LiDAR: Post Sandy (Virginia). [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/1fc5a651948a4e94b75646d4cf8c8774/html
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    Dataset updated
    Feb 7, 2018
    Description

    description: USGS Contract Number: G10PC00093, Task Order: G14PD00222 Digital Aerial Solutions LLC was tasked to collect and process 4607 sq. miles of Light Detection and Ranging (LiDAR) dataset in Virginia. The LiDAR Survey encompasses 4607 sq. miles of area in Eastern Virginia inclusive of the counties and cities of Spotsylvania, Caroline, Hanover, Henrico, Chesterfield, Dinwiddie, Sussex, Richmond City, Hopewell City, Colonial Heights City, Petersburg City, portions of Orange and Louisa, Amelia, Nottoway and Prince Edward. The LiDAR point cloud was flown at a nominal post spacing of 0.7 meters for un-obscured areas. The LiDAR data and derivative products produced are in compliance with the U.S. Geological Survey National Geospatial Program Guidelines and Base Specifications, Version 1.0. The final LAS point cloud classified as 1-Unclassified, 2-Ground, 7-Noise, 9-Water, 10-Ignored Ground due to breakline proximity, 17-overlap ground points and 18 - overlap unclassified points. The GPS Survey was completed by ESP Associates for 3 block acquisition area, and 2 blocks acquisition area by Michale Baker Surveying totaling 4607 square miles through the project area. Breaklines were delivered with the lidar dataset. These have not been reviewed by NOAA OCM, therefore are only available by request.; abstract: USGS Contract Number: G10PC00093, Task Order: G14PD00222 Digital Aerial Solutions LLC was tasked to collect and process 4607 sq. miles of Light Detection and Ranging (LiDAR) dataset in Virginia. The LiDAR Survey encompasses 4607 sq. miles of area in Eastern Virginia inclusive of the counties and cities of Spotsylvania, Caroline, Hanover, Henrico, Chesterfield, Dinwiddie, Sussex, Richmond City, Hopewell City, Colonial Heights City, Petersburg City, portions of Orange and Louisa, Amelia, Nottoway and Prince Edward. The LiDAR point cloud was flown at a nominal post spacing of 0.7 meters for un-obscured areas. The LiDAR data and derivative products produced are in compliance with the U.S. Geological Survey National Geospatial Program Guidelines and Base Specifications, Version 1.0. The final LAS point cloud classified as 1-Unclassified, 2-Ground, 7-Noise, 9-Water, 10-Ignored Ground due to breakline proximity, 17-overlap ground points and 18 - overlap unclassified points. The GPS Survey was completed by ESP Associates for 3 block acquisition area, and 2 blocks acquisition area by Michale Baker Surveying totaling 4607 square miles through the project area. Breaklines were delivered with the lidar dataset. These have not been reviewed by NOAA OCM, therefore are only available by request.

  3. West Virginia LiDAR

    • data-wvdep.opendata.arcgis.com
    • gis-fema.hub.arcgis.com
    Updated May 4, 2017
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    West Virginia Department of Environmental Protection (2017). West Virginia LiDAR [Dataset]. https://data-wvdep.opendata.arcgis.com/maps/f4b43b7f05dc4cc4acbd8051740a3d93
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    Dataset updated
    May 4, 2017
    Dataset authored and provided by
    West Virginia Department of Environmental Protectionhttps://www.dep.wv.gov/
    Area covered
    Description

    WVDEP LiDAR data was collected by the Natural Resource Analysis Center at WVU under contract with the West Virginia Department of Environmental Protection, Division of Mining and Reclamation.The data was collected between 04/09/2010 and 12/13/2011 during leaf-off, snow and flood free conditions in the spring and fall.The data format is 1.5x1.5 km LAS v1.2 files in UTM 17 NAD83 (CORS96), NAVD88 (GEOID09). Contractor software initially classified ground returns for comprehensive and bare earth tiles, but did not perform other classifications. The Technical Applications and GIS (TAGIS) unit at the WVDEP performed Quality control checking and error correction on a tile-by-tile basis before creating derived products and edited LAS files.Hardware and flight parameters:Scanner: Optech ALTM-3100Post Spacing (Average): 3.3 ft / 1.0 meterFlying Height (Above Ground Level): 5,000-ft / 1,524 metersAverage Ground Speed: 135 knots (155 MPH)Scanner Pulse Rate Frequency: 70,000 HzScanner Frequency / Field of View: 35 Hz / 36 degrees (18 half angle)Overlap (Average): 30%In-depth metadata is available here, halfway down the page:LiDAR MetadataDownloads also available here:TAGIS LiDAR WebAppTAGIS LiDAR RepositoryLooking for 3DEP LiDAR? (*Not hosted or supported by TAGIS) See here:3DEP Downloads

  4. v

    Virginia LiDAR Inventory Project Footprints

    • vgin.vdem.virginia.gov
    Updated Mar 31, 2022
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    Virginia Geographic Information Network (2022). Virginia LiDAR Inventory Project Footprints [Dataset]. https://vgin.vdem.virginia.gov/items/415824b40f154be1b93dffd0d2434f4f
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    Dataset updated
    Mar 31, 2022
    Dataset authored and provided by
    Virginia Geographic Information Network
    Area covered
    Description

    The Virginia LiDAR Inventory Web Mapping Application provides access to LiDAR point cloud and individual project metadata collected in the Commonwealth of Virginia according to the USGS 3DEP specification. Data is obtained from NOAA, USGS, and VGIN data portals. LiDAR Point Clouds are compressed for file storage and transfer. USGS and NOAA utilize the compressed .LAZ format. This dataset will provide the end user a necessary set of geographic extents that can be used with an ArcGIS Desktop or Pro session to select by location specific areas of download. The downloads can either be batch processed by the analysis with scripting and modeling or individual tiles can be downloaded. This is the tile data powering VGIN ArcGIS server services utilized in the VGIN LiDAR Download Application.

  5. w

    2012 USGS-FEMA Lidar: Virginia Northern Counties (North)

    • data.wu.ac.at
    • datadiscoverystudio.org
    • +1more
    Updated Feb 7, 2018
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    National Oceanic and Atmospheric Administration, Department of Commerce (2018). 2012 USGS-FEMA Lidar: Virginia Northern Counties (North) [Dataset]. https://data.wu.ac.at/schema/data_gov/NzA1OGZjZGQtY2ZjMi00Zjg0LTk0NGUtM2IxMzVhMzRjNGMz
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    Dataset updated
    Feb 7, 2018
    Dataset provided by
    National Oceanic and Atmospheric Administration, Department of Commerce
    License

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

    Area covered
    957c0fa88ba8e0326f8fb901edbe43e49af173f1
    Description

    Dewberry collected LiDAR for ~3,341 square miles in various Virginia Counties, a part of Worcester County, and Hoopers Island. The acquisition was performed by Terrapoint. This metadata covers the LiDAR produced for the Virginia Counties North project area. The nominal pulse spacing for this project is 1.6 ft (0.5 meters). This project was collected with a sensor which collects intensity values for each discrete pulse extracted from the waveform. GPS Week Time, Intensity, Flightline and echo number attributes were provided for each LiDAR point. Dewberry used proprietary procedures to classify the LAS according to contract specifications: 1-Unclassified, 2-Ground, 7-Noise, 9-Water, 10-Ignored Ground due to breakline proximity, and 11-Withheld (Reclassed to 15). Dewberry produced 3D breaklines and combined these with the final LiDAR data to produce seamless hydro flattened DEMs for the 2,140 tiles (5000 ft x 5000 ft) that cover the project area. This collection has been divided into 2 parts (North and South), due to a portion of the data being collected in two zones: Virginia State Plane North 4501 and Virginia State Plane South 4502.

  6. 2010 VA Information Technologies Agency (VITA)/VA Geographic Information...

    • fisheries.noaa.gov
    • data.amerigeoss.org
    html
    Updated Jul 1, 2014
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    OCM Partners (2014). 2010 VA Information Technologies Agency (VITA)/VA Geographic Information Network (VGIN) Lidar: Eastern Shore, VA (Accomack and Northampton Counties) [Dataset]. https://www.fisheries.noaa.gov/inport/item/50124
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    htmlAvailable download formats
    Dataset updated
    Jul 1, 2014
    Dataset provided by
    OCM Partners
    Time period covered
    Mar 21, 2010 - Mar 28, 2010
    Area covered
    Description

    The Virginia Geographic Information Network (VGIN) contracted with Sanborn to provide LiDAR mapping services for Accomack and Northampton counties on the eastern shore of Virginia in the March of 2010. Utilizing multi-return systems, Light Detection and Ranging (LiDAR) data in the form of 3-dimensional positions of a dense set of mass points was collected for approximately 1090 square miles. Of...

  7. 2018 USGS Lidar: Fairfax County, VA

    • fisheries.noaa.gov
    las/laz - laser
    Updated Oct 15, 2019
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    OCM Partners (2019). 2018 USGS Lidar: Fairfax County, VA [Dataset]. https://www.fisheries.noaa.gov/inport/item/61290
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    las/laz - laserAvailable download formats
    Dataset updated
    Oct 15, 2019
    Dataset provided by
    OCM Partners
    Time period covered
    Dec 6, 2018 - Dec 26, 2018
    Area covered
    Description

    Product: These lidar data are processed Classified LAS 1.4 files, formatted to 1,765 individual 1000 m x 1000 m tiles; used to create intensity images, 3D breaklines and hydro-flattened DEMs as necessary. Geographic Extent: Fairfax county, Virginia, covering approximately 597 square miles. Dataset Description: Fairfax county, Virginia 2019 Lidar project called for the Planning, Acquisition, pro...

  8. 2022 USGS Lidar DEM: Northern VA (Fairfax, Loudoun, Prince William Counties)...

    • fisheries.noaa.gov
    geotiff +1
    Updated Jan 1, 2024
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    OCM Partners (2024). 2022 USGS Lidar DEM: Northern VA (Fairfax, Loudoun, Prince William Counties) [Dataset]. https://www.fisheries.noaa.gov/inport/item/73849
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    not applicable, geotiffAvailable download formats
    Dataset updated
    Jan 1, 2024
    Dataset provided by
    OCM Partners
    Time period covered
    Dec 9, 2022 - Dec 28, 2022
    Area covered
    Description

    Original Dataset Product: These are Digital Elevation Model (DEM) data as part of the required deliverables for the lidar project. Class 2 (Ground) lidar points in conjunction with the hydro breaklines were used to create a 1 foot hydro-flattened Raster DEM.

    Original Dataset Geographic Extent: Fairfax, Loudoun, and Prince William counties in Virginia, covering 1351 square miles.

    Origina...

  9. o

    Virginia Tech StREAM Lab Winter 2021 Drone Lidar Survey

    • portal.opentopography.org
    point cloud, raster
    Updated Apr 27, 2023
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    OpenTopography (2023). Virginia Tech StREAM Lab Winter 2021 Drone Lidar Survey [Dataset]. http://doi.org/10.5069/G9348HK3
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    point cloud, rasterAvailable download formats
    Dataset updated
    Apr 27, 2023
    Dataset provided by
    OpenTopography
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 11, 2021 - Dec 13, 2021
    Area covered
    Variables measured
    Area, LidarReturns, PointDensity
    Description

    Two drone lidar flights were conducted on November 11, 2021 and December 13, 2021 over the Virginia Tech StREAM Lab (https://www.bse.vt.edu/research/facilities/StREAM_Lab.html) during leaf-off conditions. The lidar data were collected using a Vapor35 (AeroVironment, Simi Valley, CA, USA) with a YellowScan Surveyor Core lidar unit (Monfeerier-sur-Lez, France). From these two flights, a classified point cloud, a ground point density raster (1 m2 resolution), a digital elevation model (DEM) with surveyed stream bathymetry (0.1 m2 resolution), and a canopy height model (CHM; 0.1 m2 resolution) were created. This data was collected to support hydrodynamic modeling research.

  10. LiDAR-based Digital Elevation Model for Northampton and Accomack Co., VA,...

    • search.dataone.org
    • portal.edirepository.org
    Updated Oct 12, 2013
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    VITA (2013). LiDAR-based Digital Elevation Model for Northampton and Accomack Co., VA, 2010 [Dataset]. https://search.dataone.org/view/knb-lter-vcr.202.9
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    Dataset updated
    Oct 12, 2013
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    VITA
    Time period covered
    Mar 25, 2010 - Mar 30, 2010
    Area covered
    Description

    This dataset contains a bare-earth digital elevation model (DEM) for Northampton and Accomack Counties, Virginia based on data collected March 25-30, 2010 and processed to yield bare-earth elevations. It was created using LiDAR by Sanborne Geosystems under a contract with the Virginia Information Technologies Agency (VITA) with funding from The Nature Conservancy, USGS and the Virginia Coast Reserve Long-term Ecological Research project of the University of Virginia. Original LiDAR point data (approximately 1 meter spacing) was used to create a digital elevation model (DEM) with a cell resolution of 10 ft. (3.048 m). The DEM data layer is in the State Plane coordinate system (U.S. Feet) and uses the NAVD88 vertical datum with the 2009 Geoid for elevation in feet. As detailed in the included quality report, elevations are accurate to 0.65 feet or better. Water areas have been hydroflattened and may also include salt marsh areas that were inundated at the time of the flights. As a result, water areas were given a default minimum elevation below the minimum elevation measured by LiDAR over a given area and dependent on tidal cycle. Areas at or below this minimum elevation within the water mask may include salt marsh and tidal flats as well as open water. The elevation of the hydroflattening varies spatially. Salt marsh areas within the water mask were later determined by VCRLTER staff based on the following factors: (1) present as marsh (code 18) in the NOAA CCAP 2006 land cover layer and not included as an open water feature in the 2010 USGS National Hydrography Dataset, (2) minimum contiguous area of 1800 square meters, approximately equal to two 30 meter resolution CCAP pixel cells, and (3) includes extensive areas of salt marsh within north-south flight line “stripesâ€, primarily the seaside lagoons and marshes south of Parramore Island and the town of Wachapreague plus Chesapeake Bay marshes immediately north of Tangier Island (and excludes edge-only areas elsewhere). Two polygon shapefiles have been added to this dataset: one shapefile shows the region-specific water masks and includes the elevation of the masks (in meters, not feet); the other shapefile shows areas of saltmarsh hidden within the water mask and includes a recommended replacement elevation (0.404 meters) based on the average above-water-mask LiDAR elevations of all CCAP-minus-NHD-water-determined marshes of all seaside marshes south of Chincoteague Inlet. The two polygon shapefiles have been reprojected to the WGS84 UTM zone 18N coordinate system, and the NAVD88 vertical elevations converted from feet to meters.

  11. K

    Virginia LiDAR Inventory Annual Flights - 2016

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Dec 8, 2022
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    State of Virginia (2022). Virginia LiDAR Inventory Annual Flights - 2016 [Dataset]. https://koordinates.com/layer/111831-virginia-lidar-inventory-annual-flights-2016/
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    pdf, geopackage / sqlite, shapefile, mapinfo mif, geodatabase, kml, mapinfo tab, dwg, csvAvailable download formats
    Dataset updated
    Dec 8, 2022
    Dataset authored and provided by
    State of Virginia
    Area covered
    Description

    Geospatial data about Virginia LiDAR Inventory Annual Flights - 2016. Export to CAD, GIS, PDF, CSV and access via API.

  12. d

    2012 USACE Post Sandy Topographic LiDAR: Virginia and Maryland.

    • datadiscoverystudio.org
    Updated Feb 7, 2018
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    (2018). 2012 USACE Post Sandy Topographic LiDAR: Virginia and Maryland. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/49fbcf69addd496c8ef39c2de079896b/html
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    Dataset updated
    Feb 7, 2018
    Description

    description: TASK ORDER NAME: VIRGINIA AND MARYLAND LIDAR ACQUISITION FOR SANDY RESPONSE CONTRACT NUMBER: W912P9-10-D-0533 TASK ORDER NUMBER: W81C8X2314841 Woolpert Project Number: 72903 HQUSACE required high-resolution digital elevation data developed from airborne LiDAR technology for the Assateague Island, MD; Assateague Island, VA; Tangier Island, VA; Cape Henry to Willoughby Point, VA; AOIs for a total of approximately eighty (80) square miles in the North Atlantic Division. FINAL DELIVERABLES: The final deliverables are listed below. The final LiDAR data was delivered in a UTM projection tiling format, based on a modular layout. The tiles were clipped to eliminate overlap between adjacent tiles. The 1000 meter x 1000 meter tile file name was derived from the National Grid naming convention.; abstract: TASK ORDER NAME: VIRGINIA AND MARYLAND LIDAR ACQUISITION FOR SANDY RESPONSE CONTRACT NUMBER: W912P9-10-D-0533 TASK ORDER NUMBER: W81C8X2314841 Woolpert Project Number: 72903 HQUSACE required high-resolution digital elevation data developed from airborne LiDAR technology for the Assateague Island, MD; Assateague Island, VA; Tangier Island, VA; Cape Henry to Willoughby Point, VA; AOIs for a total of approximately eighty (80) square miles in the North Atlantic Division. FINAL DELIVERABLES: The final deliverables are listed below. The final LiDAR data was delivered in a UTM projection tiling format, based on a modular layout. The tiles were clipped to eliminate overlap between adjacent tiles. The 1000 meter x 1000 meter tile file name was derived from the National Grid naming convention.

  13. 2017 NRCS/FEMA/USGS Lidar: South Central VA

    • fisheries.noaa.gov
    not applicable
    Updated Aug 8, 2019
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    OCM Partners (2019). 2017 NRCS/FEMA/USGS Lidar: South Central VA [Dataset]. https://www.fisheries.noaa.gov/inport/item/71879
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    not applicableAvailable download formats
    Dataset updated
    Aug 8, 2019
    Dataset provided by
    OCM Partners
    Time period covered
    Apr 14, 2017 - May 24, 2018
    Area covered
    Description

    Product: These lidar data are processed Classified LAS 1.4 files, formatted to 11495 individual 1500 m x 1500 m tiles; used to create intensity images, 3D breaklines and hydro-flattened DEMs as necessary. Geographic Extent: Virginia and West Virginia, covering approximately 9431 square miles. Dataset Description: VA FEMA NRCS South Central 2017 Lidar project called for the Planning, A...

  14. K

    Virginia LiDAR Inventory Annual Flights - 2013

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Jan 3, 2023
    + more versions
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    State of Virginia (2023). Virginia LiDAR Inventory Annual Flights - 2013 [Dataset]. https://koordinates.com/layer/111834-virginia-lidar-inventory-annual-flights-2013/
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    pdf, geopackage / sqlite, mapinfo mif, mapinfo tab, shapefile, kml, geodatabase, csv, dwgAvailable download formats
    Dataset updated
    Jan 3, 2023
    Dataset authored and provided by
    State of Virginia
    Area covered
    Description

    Geospatial data about Virginia LiDAR Inventory Annual Flights - 2013. Export to CAD, GIS, PDF, CSV and access via API.

  15. K

    Virginia LiDAR Inventory Annual Flights - 2019

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Jan 3, 2023
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    State of Virginia (2023). Virginia LiDAR Inventory Annual Flights - 2019 [Dataset]. https://koordinates.com/layer/111829-virginia-lidar-inventory-annual-flights-2019/
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    csv, dwg, geodatabase, pdf, mapinfo mif, shapefile, mapinfo tab, kml, geopackage / sqliteAvailable download formats
    Dataset updated
    Jan 3, 2023
    Dataset authored and provided by
    State of Virginia
    Area covered
    Description

    Geospatial data about Virginia LiDAR Inventory Annual Flights - 2019. Export to CAD, GIS, PDF, CSV and access via API.

  16. d

    2019 North Carolina and Virginia Post-Dorian USACE Lidar-Derived Dune Crest,...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). 2019 North Carolina and Virginia Post-Dorian USACE Lidar-Derived Dune Crest, Toe and Shoreline [Dataset]. https://catalog.data.gov/dataset/2019-north-carolina-and-virginia-post-dorian-usace-lidar-derived-dune-crest-toe-and-shorel
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    North Carolina
    Description

    The storm-induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards (NACCH) project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Light detection and ranging (lidar)-derived beach morphologic features such as dune crest, toe, and shoreline help define the vulnerability of the beach to storm impacts. This dataset defines the elevation and position of the seaward-most dune crest and toe and the mean high-water shoreline derived from the 2019 Post-Dorian United States Army Corps of Engineers (USACE) North Carolina and Virginia lidar survey. Beach width is included and is defined as the distance between the dune toe and shoreline along a cross-shore profile. The beach slope is calculated using this beach width and the elevation of the shoreline and dune toe.

  17. 2021 NOAA NGS Topobathy Lidar: Fisherman Island to Chincoteague, Virginia

    • catalog.data.gov
    • gimi9.com
    • +1more
    Updated Oct 31, 2024
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    NOAA Office for Coastal Management (Custodian) (2024). 2021 NOAA NGS Topobathy Lidar: Fisherman Island to Chincoteague, Virginia [Dataset]. https://catalog.data.gov/dataset/2021-noaa-ngs-topobathy-lidar-fisherman-island-to-chincoteague-virginia1
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    Chincoteague, Virginia
    Description

    These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Leica Chiroptera 4X system. The data were acquired from 20210327 - 20210913. The data includes topobathy data in an LAS 1.4 format file classified as unclassified (1), ground (2), noise (7), water surface (topographic sensor) (9), high noise (18), bathymetric point (40), water surface (41), synthetic water surface (42), submerged feature (43) in accordance with the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards. This data set may also include lidar intensity values.

  18. d

    2013 USGS Lidar: Norfolk (VA).

    • datadiscoverystudio.org
    • fisheries.noaa.gov
    • +1more
    Updated Feb 7, 2018
    + more versions
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    (2018). 2013 USGS Lidar: Norfolk (VA). [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/f49a6caed0844aceae585fd853fac3c3/html
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    Dataset updated
    Feb 7, 2018
    Area covered
    Norfolk, Virginia
    Description

    description: Laser Mapping Specialist, Inc (LMSI) and The Atlantic Group (Atlantic) provided high accuracy, calibrated multiple return LiDAR for roughly 1,130 square miles around Norfolk, Virgina that either fully or partially cover the Virginia counties of Chesapeake, Hampton, James City, Newport News, Norfolk, Poquoson City, Portsmouth, Suffolk, Virginia Beach, Williamsburg, and York as well as the North Carolina counties of Camden and Currituck. The nominal point spacing for this project was no greater than 1 point every 0.7 meters. Dewberry used proprietary procedures to classify the LAS according to project specifications: 1-Unclassified, 2-Ground, 7-Noise, 9-Water, 10-Ignored Ground, 11-Withheld Points. OCM reclassified class 11 points to Class 15 - (as needed: Witheld Points). Dewberry produced 3D breaklines and combined these with the final LiDAR data to produce seamless hydro flattened DEMs for the 1,458 (1500 m x 1500 m) UTM tiles and the 1,400 (5000 ft x 5000ft) State Plane tiles that cover the project area.; abstract: Laser Mapping Specialist, Inc (LMSI) and The Atlantic Group (Atlantic) provided high accuracy, calibrated multiple return LiDAR for roughly 1,130 square miles around Norfolk, Virgina that either fully or partially cover the Virginia counties of Chesapeake, Hampton, James City, Newport News, Norfolk, Poquoson City, Portsmouth, Suffolk, Virginia Beach, Williamsburg, and York as well as the North Carolina counties of Camden and Currituck. The nominal point spacing for this project was no greater than 1 point every 0.7 meters. Dewberry used proprietary procedures to classify the LAS according to project specifications: 1-Unclassified, 2-Ground, 7-Noise, 9-Water, 10-Ignored Ground, 11-Withheld Points. OCM reclassified class 11 points to Class 15 - (as needed: Witheld Points). Dewberry produced 3D breaklines and combined these with the final LiDAR data to produce seamless hydro flattened DEMs for the 1,458 (1500 m x 1500 m) UTM tiles and the 1,400 (5000 ft x 5000ft) State Plane tiles that cover the project area.

  19. 2012 FEMA Lidar: Middle Counties (VA)

    • fisheries.noaa.gov
    • datadiscoverystudio.org
    html
    Updated Jan 12, 2015
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    OCM Partners (2015). 2012 FEMA Lidar: Middle Counties (VA) [Dataset]. https://www.fisheries.noaa.gov/inport/item/50128
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    htmlAvailable download formats
    Dataset updated
    Jan 12, 2015
    Dataset provided by
    OCM Partners
    Time period covered
    May 6, 2011 - Apr 2, 2012
    Area covered
    Description

    Dewberry collected LiDAR for ~3,341 square miles in various Virginia Counties, a part of Worcester County, and Hoopers Island. The acquisition was performed by Terrapoint. This metadata covers the LiDAR produced for the Middle Counties project area. The nominal pulse spacing for this project is 1.6 ft (0.5 meters). This project was collected with a sensor which collects intensity values for eac...

  20. d

    Virginia 2009 Lidar Coverage, USACE National Coastal Mapping Program.

    • datadiscoverystudio.org
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    Updated May 17, 2013
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    (2013). Virginia 2009 Lidar Coverage, USACE National Coastal Mapping Program. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/949d4a600d454e14af6f4195b09bfcab/html
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    htmlAvailable download formats
    Dataset updated
    May 17, 2013
    Description

    description: The Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX) has performed a coastal survey along the Atlantic coast of VA in 2009. The data types collected include bathymetry and topographic lidar point data, true color imagery and hyperspectral imagery. The collection effort follows the coastline and extends 500m inland and 1000m offshore or to laser extinction, whichever comes first. Topographic lidar is collected with 200% coverage, yielding a nominal 1m x 1m post-spacing. Where water conditions permit, the bathymetry lidar data will have a nominal post spacing of 4m x 4m. The true color imagery will have a pixel size approximately 35cm and the hyperspectral imagery will be provided in 1m pixels containing 36 bands between 375 - 1050 nm with 19 nm bandwidth. The final data will be tied to horizontal positions, provided in decimal degrees of latitude and longitude, and are referenced to the North American Datum of 1983 (NAD83). Vertical positions are referenced to the NAD83 ellipsoid and provided in meters. The National Geodetic Survey's (NGS) GEOID03 model is used to transform the vertical positions from ellipsoid to orthometric heights referenced to the North American Vertical Datum of 1988 (NAVD88).; abstract: The Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX) has performed a coastal survey along the Atlantic coast of VA in 2009. The data types collected include bathymetry and topographic lidar point data, true color imagery and hyperspectral imagery. The collection effort follows the coastline and extends 500m inland and 1000m offshore or to laser extinction, whichever comes first. Topographic lidar is collected with 200% coverage, yielding a nominal 1m x 1m post-spacing. Where water conditions permit, the bathymetry lidar data will have a nominal post spacing of 4m x 4m. The true color imagery will have a pixel size approximately 35cm and the hyperspectral imagery will be provided in 1m pixels containing 36 bands between 375 - 1050 nm with 19 nm bandwidth. The final data will be tied to horizontal positions, provided in decimal degrees of latitude and longitude, and are referenced to the North American Datum of 1983 (NAD83). Vertical positions are referenced to the NAD83 ellipsoid and provided in meters. The National Geodetic Survey's (NGS) GEOID03 model is used to transform the vertical positions from ellipsoid to orthometric heights referenced to the North American Vertical Datum of 1988 (NAVD88).

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Prince William County (2024). Virginia LiDAR Download Application [Dataset]. https://data.virginia.gov/dataset/virginia-lidar-download-application

Virginia LiDAR Download Application

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2 scholarly articles cite this dataset (View in Google Scholar)
html, arcgis geoservices rest apiAvailable download formats
Dataset updated
Feb 27, 2024
Dataset provided by
Prince William County, Virginia
Authors
Prince William County
Area covered
Virginia
Description

Virginia LiDAR

The Virginia LiDAR Inventory Web Mapping Application provides access to LiDAR point cloud, bare earth digital terrain elevation models (DEM's) and individual project metadata collected in the Commonwealth of Virginia according to the USGS 3DEP specification. The application links to resources served from NOAA and USGS data portals.

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