2012 Oregon Lidar Consortium (OLC) Lidar: Keno (OR)

Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (LiDAR) data of the Oregon Keno Study Area for the Oregon Department of Geology and Mineral Industries (DOGAMI). The Oregon LiDAR Consortium's (OLC) Keno project area encompasses approximately 200,000 acres in Klamath County near the Oregon-California state border and surrounds a portion of the Klamath River. The data were collected Between May 19th and August 17th, 2012 with a resolution of eight pulses per square meter.

In addition to the lidar point data, bare earth Digital Elevation Models (DEMs), at a 3 feet grid spacing, created from the lidar point data are also available. These data are available for custom download here: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8385

Original contact information:

Contact Name: Don Haines

Contact Org: Nature of the Northwest

Phone: 971-673-2331

Email: ian.madin@dogami.state.or.us

Provide high resolution terrain elevation and land cover elevation data.

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A final report for this project may be viewed at:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/6354/supplemental/or2012_olc_keno_m6354_lidar_report.pdf

A QC report for this project may be viewed at:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/6354/supplemental/or2012_olc_keno_m6354_qc_report.pdf

Any conclusions drawn from the analysis of this information are not the responsibility of the Oregon Department of Geology and Mineral Industries (DOGAMI), the Office for Coastal Management or its partners.

This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6354

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In some areas of heavy vegetation and forest cover, there may be relatively few ground points in the LiDAR data. TINing the points produces large triangles and hence the elevations may be less accurate within such areas. In some areas with large bodies of water, competing water surface levels may be visible. This is due to seasonal water level fluctuation and intervals of time between acquisition of an area. 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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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.

Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; ESRI ArcGIS 10.0.5.4400

See link to the lidar report in the Supplemental Information field above.

The Root Mean Square Error (RMSE) of the data set is 0.04 meters. Accuracy was assessed using 3,338 ground survey (real time kinematic) points. These ground survey points are distributed through out the OLC Keno study area. See LiDAR data report.; Quantitative Value: 0.04 meters, Test that produced the value: The Root Mean Square Error (RMSE) of the data set is 0.04 meters. Accuracy was assessed using 3,338 ground survey (real time kinematic) points. These ground survey points are distributed through out the OLC Keno study area. See link to the lidar report in the Supplemental Information field above.

LiDAR data has been collected and processed for all areas within the project study area.

LiDAR flight lines have been examined to ensure that there was at least 60% sidelap, there are no gaps between flightlines, and overlapping flightlines have consistent elevation values. Shaded relief images have been visually inspected for data errors such as pits, border artifacts, gaps, and shifting. The data was examined at a 1:3000 scale.