2024 USGS Lidar DEM: Hampton Roads, VA

This dataset consists of two USGS blocks of data. They are:

VA_HamptonRoads_1 (Work Unit 300645)

The Virginia Hampton Roads, Work Unit 300645 Lidar project (Virginia AOI) called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal point density of 0.35 points per square meter for QL1 data. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification 2022, revision A. The data was developed based on a horizontal projection/datum of NAD83 (2011), VA State Plane South, US feet, and vertical datum of NAVD88 (GEOID 18), feet. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 70 individual 1000 m x 1000 m tiles and as tiled bare earth DEMs; all tiled to the same 1000 m x 1000 m schema. A 2 foot cell size Digital Elevation Model (DEM) raster was created from the ground classified lidar points. The files are delivered in tile format (2500ft by 2500ft), the rasters are delivered in 32-bit floating point GeoTIFF format (.tif) and adhere to USGS-NGP Lidar Base Specification 2024, rev. A. The Virginia Hampton Roads work unit 300645 is approximately 2,266 square miles and has 10,688 tiles.

VA_HamptonRoads_2 (Work Unit 300653)

The Virginia Hampton Roads, Work Unit 300653 Lidar project (North Carolina AOI) called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal point density of 0.35 points per square meter for QL1 data. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification 2022, revision A. The data was developed based on a horizontal projection/datum of NAD83 (2011), UTM Zone 18N, Meters, and vertical datum of NAVD88 (GEOID 18), Meters. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to individual 1000 m x 1000 m tiles and as tiled bare earth DEMs; all tiled to the same 1000 m x 1000 m schema. A 0.5 meter cell size Digital Elevation Model (DEM) raster was created from the ground classified lidar points. The files are delivered in tile format (1000m x 1000m), the rasters are delivered in 32-bit floating point GeoTIFF format (.tif). The Virginia Hampton Roads work unit 300653 is approximately 21 square miles and has 70 tiles.

Ground Conditions: Lidar was collected in the spring 2024, while no snow was on the ground.

This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the GeoTIFF files hosted by USGS on Amazon Web Services.

This task is for providing a Winter/Spring 2024 leaf-off and snow-free lidar survey over an area of approximately 2,287 square miles. This project will support the 3DEP mission, the Hampton Roads Planning District Commission, the Natural Resources Conservation Service (NRCS), and the U.S. Fish and Wildlife Service (USFWS).

Raster File Type = TIFF

Bit Depth/Pixel Type = 32-bit float

Raster Cell Size = 2 foot

Interpolation or Resampling Technique = Triangulated Irregular Network (TIN)

Required Vertical Accuracy = 10cm NVA

Time periods have been converted from UTC to Central Standard Time for the metadata.

Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners.

VA_HamptonRoads_1 (Work Unit 300645) - Virginia AOI

VA_HamptonRoads_2 (Work Unit 300653) - North Carolina AOI

To the extent possible under law, the U.S. Government has waived all copyright and related or neighboring rights to this dataset.

Data is available online for bulk and custom downloads.

None

Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.

This dataset was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data, Edition 2 (2023) for a 9.4 (cm) RMSEh horizonal positional accuracy class.

This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2024) Ed.2 V.1 for a 10-cm RMSEz Vertical Accuracy Class.

USGS Determined DEM Vertical Accuracy:

Non-Vegetated Vertical Accuracy (NVA) = 5.58 cm RMSE

Vegetated Vertical Accuracy (VVA) = 14.56 cm at the 95th Percentile

The dataset was reviewed to ensure completeness and accuracy.

Data covers the entire area specified for this project.

The NOAA Office for Coastal Management (OCM) ingested references to the USGS GeoTIFF files that are hosted on Amazon Web Services (AWS), into the Digital Coast Data Access Viewer (DAV). The DAV accesses the raster data as it resides on AWS.