2017 OLC Lidar: Silver Creek, OR

This dataset represents the Oregon LiDAR Consortium Silver Creek project area. The dataset encompasses 421,474 acres covering Crook County, Harney County and Harney County in Oregon. The nominal pulse density is eight pulses per square meter. The digital elevation model (DEM) and digital surface model (DSM) raster grid cell size is 3 feet. The intensity raster grid cell size is 1.5 feet. The native projection is Oregon Statewide Lambert, Lambert Conformal Conic, units are in international feet. The native horizontal datum is NAD83(2011) and the native vertical datum is NAVD88 (Geoid 12B). Quantum Geospatial Inc. collected the lidar and created this dataset for the Oregon Department of Geology and Mineral Industries (DOGAMI).

OCM received 1,404 LAZ files from the Oregon Lidar Consortium and processed them to the Data Access Viewer (DAV) as well as html. Additionally, bare-earth DEM files are available and may be found in the Related Items section below.

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.

The data were collected for the Oregon Department of Geology and Mineral Industries by Quantum Spatial Inc. under State of Oregon Agency-Specific Price Agreement 7525. The price agreement specifies in Section 2.2 that the Quantum Spatial Inc. provide classified LAS files, intensity grids, digital elevation models (DEMs), digital surface models (DSMs), vector files, and a survey report.

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "Exhibit A of Amendment 7 to Price Agreement 7525",

"ldrsens" : "Leica ALS80",

"ldrmaxnr" : "unlimited",

"ldrnps" : "0.35 m",

"ldrdens" : "8 PPSM",

"ldranps" : "0.35 m",

"ldradens" : "8 PPSM",

"ldrfltht" : "1500 m",

"ldrfltsp" : "140 kts",

"ldrscana" : "40 degrees",

"ldrscanr" : "52.0 Hz",

"ldrpulsr" : "357.2 kHz",

"ldrpulsd" : "3 ns",

"ldrpulsw" : "0.25 m",

"ldrwavel" : "1064 nm",

"ldrmpia" : "1",

"ldrbmdiv" : "0.25 mrad",

"ldrswatw" : "1092 m",

"ldrswato" : "60%",

"ldrgeoid" : "Geoid 12A"

},

"ldraccur" : {

"ldrchacc" : "0.5",

"rawnva" : "0.092 m",

"rawnvan" : "172"

},

"lasinfo" : {

"lasver" : "1.2",

"lasprf" : "3",

"laswheld" : "Not applicable",

"lasolap" : "Not applicable",

"lasintrz" : "16",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Undetermined/Unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Ground"

}

}}

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. Acknowledgement of Oregon Department of Geology and Industries (DOGAMI) would be appreciated for products derived from these data.

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 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.

LiDAR Mapping Suite 2.4, Applanix PosPac 7.1, Microstation Version 8.0, TerraScan Version 16, TerraModeler Version 16, TerraMatch Version 16, ESRI ArcGIS 10.3.1, Windows 7 Operating System

State of Oregon Agency-Specific Price Agreement 7525 required that Quantum Spatial Inc. calculate fundamental vertical accuracy of lidar point data by comparing ground control points (GCPs) on flat surfaces in areas where ground classified point resolution is both high, and the ground surface is open, smooth and without vegetation, to a local triangulated irregular network (TIN) surface of ground classified points. The fundamental vertical accuracy did not exceed 9.25 cm RMSE.Qualitative value:4.70 cm RMSE, Test that produced the value: The vertical accuracy was tested using 172 ground control points (GCPs) located in open terrain. The GCPs were uniformly distributed throughout the project area. The 172 GCPs were established using GPS or other techniques that result in vertical and horizontal accuracies of 1.5 cm root-mean-square-error (RMSE) or better. Vertical accuracy was assessed by QSI by calculating and averaging the distances between GCPs that are not clustered and a surface interpolated from lidar first returns. The RMSE was computed to be 4.70 centimeters as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines.

A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist.

Data covers the entire area specified for this project.

Data is backed up to tape and to cloud storage.