2022 DOGAMI/OLC/USGS Lidar DEM: Malheur, OR

Original Product: This GIS dataset contains Bare Earth (BE) raster grids depicting lidar-derived elevation data for the 2022 OLC Malheur Lidar project area.

Original Dataset Description: The 2022 OLC Malheur Lidar project area encompasses 607,438 acres; and is located in Malheur County, Oregon. This project called for the planning, acquisition, processing, and production of derivative products of lidar data and was to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Lidar Base Specification 2021, Revision A. The native projection is Oregon Lambert Conic Conformal, units are in International feet. The native horizontal datum is NAD83(2011); the native vertical datum is NAVD88; Geoid 18. Bare earth DEMs were derived from the classified lidar data and delivered within a 3000 ft x 3000 ft schema.

Ground Conditions: Lidar was collected between July 1 and July 9, 2022 while no snow was on the ground and the area was free of cloud cover.

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 dataset provides high resolution elevation data that is used to produce three-dimensional models of the earth surface for the purpose of managing natural resources and mapping natural hazards.

CONTRACTOR: NV5 Geospatial

All ground survey data, Lidar data acquisition, calibration, and follow-on processing were completed by the prime contractor, NV5 Geospatial

Raster File Type = TIFF

Bit Depth/Pixel Type = 32-bit float

Raster Cell Size = 3 feet

Interpolation or Resampling Technique = Triangulated Irregular Network

Required Vertical Accuracy = 19.6 cm NVA

Users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions.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 product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, surveying, or site specific purposes. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information.

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

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.

Bayes StripAlign v2.2, Applanix PosPac 8.7, Microstation Connect, TerraScan Version 19, TerraModeler Version 19, TerraMatch Version 19, ESRI ArcGIS 10.7.1, LAS Product Creator (NV5 Proprietary), LasMonkey (NV5 Proprietary), Windows 10 Operating System

Lidar horizontal accuracy is a function of Global Navigation Satellite System (GNSS) derived positional error, flying altitude, and INS derived attitude error. The obtained RMSEr value is multiplied by a conversion factor of 1.7308 to yield the horizontal component of the National Standards for Spatial Data Accuracy (NSSDA) reporting standard where a theoretical point will fall within the obtained radius 95 percent of the time. Based on a flying altitude of 2500 meters, an IMU error of 0.002 decimal degrees, and a GNSS positional error of 0.023 meters, this project was produced to meet 0.90 feet (0.27 meters) horizontal accuracy at the 95% confidence level

This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class.

USGS Determined DEM Vertical Accuracy:

Non-Vegetated Vertical Accuracy (NVA) = 3.34 cm RMSE

Vegetated Vertical Accuracy (VVA) = 19.87 cm at 95th Percentile

A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications.

DEM files were tested by NV5 Geospatial for vertical accuracy. All data is seamless from one tile to the next, no gaps or no data areas.

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.