2018 USGS Klamath River Topobathymetric Lidar

Product: These are Digital Elevation Model (DEM) data for the USGS Klamath River Topobathymetric LiDAR project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 1 meter hydro-flattened Raster DEM.

Geographic Extent: This dataset and derived products encompass an area covering approximately 72,030 acres of Northern California and Southern Oregon.

Dataset Description: RAW flight line swaths along with multi-beam sonar were processed to create 2,262 classified LAS 1.4 files delineated in 500 m x 500 m tiles. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. Additionally 105 files have incorporated sonar point information which has been calibrated, controlled, and classified. Sonar data has been assigned a flightline number/point source ID of 0. Additional derived products include intensity images, topobathymetric DEMs, highest hit surface models, 3D breaklines of rivers and lakes within the study area, 30cm contours, and a bathymetric coverage shape.

Ground Conditions: Ground condition free of snow. Acquisition below aircraft free of smoke, fog and cloud cover. Ground Control Points were acquired and calibrated by Quantum Spatial, Inc.

(Please note that 2 tiles contain no data due to their size and therefore do not exist. These tiles include 10TEM110310, 10TEM765550)

The purpose of the lidar data was to produce a high accuracy 3D dataset that meets all necessary standards laid out by the USGS Klamath River contract.

The raw lidar point cloud data were used to create classified lidar LAS files, intensity images, topobathymetric DEMs, hydro-flattened DEMs, highest hit surface models, 3D breaklines of rivers and lakes within the study area, 30cm contours, and a bathymetric coverage shape.

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

Data is available online for bulk or 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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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.

The specifications require that Non-vegetated Vertical Accuracy (NVA) be computed from the both the raw lidar point cloud swath files and the derived DEMs. Additionally, the Vegetated Vertical Accuracy (VVA) is computed from the derived DEMs. Bathymetric Accuracy was calculated against bathymetric classified points. The NVA was tested with 21 independent check points located in open terrain, and distributed throughout the project as feasible, while VVA was tested with 9 independent check points located in a variety of vegetation classes distributed throughout the project area as feasible. Bathymetric accuracy was tested with 103 independent check points taken in various submerged locations along the river. These check points were not used in the calibration or post processing of the lidar point cloud data. Specifications for this project require that the NVA be 19.6 cm meters or better AccuracyZ at 95% confidence level and that the VVA be 29.4 cm or better AccuracyZ at the 95th percentile. Bathymetric accuracies were calculated at 95% confidence level.

Quantitative value: 0.074 0.080 0.163 0.089, Test that produced the value: The Non-vegetated Vertical Accuracy (NVA) of this dataset, tested at a 95% confidence level against the lidar point cloud is 0.074 m. Please see the LiDAR data report for a discussion of the statistics related to this dataset.

The Non-vegetated Vertical Accuracy (NVA) of this dataset, tested at a 95% confidence level against the derived digital elevation model is 0.080 m. Please see the LiDAR data report for a discussion of the statistics related to this dataset.

The Vegetated Vertical Accuracy (VVA) of this dataset, tested at a 95th percentile against the derived digital elevation model is 0.163 m. Please see the LiDAR data report for a discussion of the statistics related to this dataset.

The submerged bathymetric accuracy of this dataset, tested at a 95% confidence level against the lidar point cloud is 0.089 m. Please see the LiDAR data report for a discussion of the statistics related to this dataset.

LAS files include all data points collected. No points have been removed or excluded. Shaded relief images have been visually inspected for data errors such as pits, border artifacts, and shifting. LiDAR flight lines have been examined to ensure consistent elevation values across overlapping flight lines. The raw point cloud is of good quality and data passes Vertical Accuracy specifications.

Classified LAS files were tested by QSI for both vertical and horizontal accuracy. All data is seamless from one tile to the next, no gaps or no data areas.

Data is backed up to tape and to cloud storage.