2019 USFS Lidar: Rogue River Siskiyou National Forest (CA, OR)

Product: Classified LAS 1.4 files formatted to 1,652 individual 1,000 m x 1,000 m tiles for the Rogue River Siskiyou Project Area.

Geographic Extent: This dataset and derived products encompass an area covering approximately 569 square miles within Siskiyou and Del Norte Counties in California as well as Josephine and Jackson Counties in Oregon.

Dataset Description: The Rogue River Siskiyou lidar project called for the planning, acquisition, and processing of lidar data collected at an aggregate nominal pulse spacing (ANPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base lidar Specification, Version 1.3. The data was developed based on the NAD83(2011) horizontal datum and NAVD88 (GEOID12B) vertical datum. Data was projected in UTM Zone 10N. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 1,652 individual 1,000 m x 1,000 m tiles. Derived products include: tiled Intensity Imagery, tiled DZ orthos, tiled hydroflattend bare earth DEMs and 3D waters edge breaklines.

Ground Conditions: Lidar was collected in fall 2019, while the presence of snow on the ground was at a minimum and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, QSI established a total of 65 ground control points distributed throughout the Rogue River Siskiyou, Oregon project area. Lidar data was calibrated to these known ground locations. An additional 70 independent accuracy checkpoints, 43 in Bare Earth and Urban landcovers (NVA points) and 27 in Shrub, Tall Grass, and Forest categories (VVA points) were used to assess the vertical accuracy of the project data. These checkpoints were not used to calibrate or post process the data.

The NOAA Office for Coastal Management (OCM) downloaded the:

1. Lidar point data from this USGS site:

ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/OR_RogueSiskiyouNF_2019_B19/OR_RogueRiverSiskiyouNF_B1_2019/

2. Breaklines, reports and metadata from this USGS site:

ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/OR_RogueSiskiyouNF_2019_B19/OR_RogueRiverSiskiyouNF_B1_2019/

These files were processed to the Data Access Viewer (DAV) and https. The total number of laz files downloaded and processed was 1652.

The breakline data are available for download at the link provided in the URL section of this metadata record. Please note that these products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM.

The purpose of the lidar data was to produce a high accuracy 3D dataset that meets all necessary standards laid out by the 3DEP initiative. The raw lidar point cloud data were used to create classified lidar las files, hydroflattened DEMs, intensity images, dz orthos and 3D hydro breaklines.

CONTRACTOR: Quantum Spatial, Inc.

Ground Control Points were acquired by QSI.

Quantum Spatial coordinated the data acquisition and performed all calibration, follow up processing, and creation of the final derived products.

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "U.S. Geological Survey (USGS) - National Geospatial Program (NGP) lidar Base Specification v1.3",

"ldrsens" : "Riegl VQ1560i",

"ldrmaxnr" : "15",

"ldrnps" : "0.70",

"ldrdens" : "4",

"ldranps" : "0.20",

"ldradens" : "23.10",

"ldrfltht" : "2079",

"ldrfltsp" : "115",

"ldrscana" : "58.5",

"ldrscanr" : "80.6 Lines Per Second Per Scanner",

"ldrpulsr" : "500",

"ldrpulsd" : "3",

"ldrpulsw" : "0.37",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.18",

"ldrswatw" : "2329",

"ldrswato" : "55",

"ldrgeoid" : "National Geodetic Survey (NGS) Geoid12B"

},

"ldraccur" : {

"ldrchacc" : "0.23",

"rawnva" : "0.104",

"rawnvan" : "43",

"clsvva" : "0.231",

"clsvvan" : "27"

},

"lasinfo" : {

"lasver" : "1.4",

"lasprf" : "6",

"laswheld" : "Withheld (ignore) points were identified in these files using the standard LAS Withheld bit.",

"lasolap" : "Swath "overage" points were identified in these files using the standard LAS overlap bit.",

"lasintr" : "16",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Processed, but Unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare Earth Ground"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "Noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "Water"

},

"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridge Decks"

},

"lasclass" : {

"clascode" : "18",

"clasitem" : "High Noise"

},

"lasclass" : {

"clascode" : "20",

"clasitem" : "Ignored Ground"

}

}}

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

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.

Applanix PosPac 7.1, Microstation Version 8.0, TerraScan Version 19, TerraModeler Version 19, TerraMatch Version 19, ESRI ArcGIS 10.5, 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 (ACCr) 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. Using a maximum flying height of 2,079 m, this data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 13.1 cm RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 23.0 cm at a 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. The NVA was tested with 43 independent check points located in open terrain, and distributed throughout the project as feasible. 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 centimeters or better AccuracyZ at 95% confidence level. The 43 independent NVA check points were surveyed using the closed level loop technique. Elevations interpolated from the unclassified lidar surface were compared to the elevation values of the surveyed NVA check points. The RMSE was computed to be 0.053 meters resulting in an AccuracyZ at the 95% confidence level of 0.104 meters. NVA AccuracyZ has been tested and meets the required 0.196 meter NVA at 95% confidence level using (RMSEz * 1.9600) for the raw lidar point cloud as defined by the National Standards for Spatial Data Accuracy (NSSDA) and herein reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines.

The 27 VVA check points were surveyed using the closed level loop technique. Elevations for these points were compared to the elevations of the derived bare earth DEMs. The RMSE was computed to be 0.135 meters resulting in an AccuracyZ of 0.231 meters at the 95th percentile. AccuracyZ has been tested on the derived bare earth DEMs and meets the required 0.30 meter VVA using the 95th percentile of the absolute value of all vertical errors in all combined vegetation classes as defined by the National Standards for Spatial Data Accuracy (NSSDA); and herein reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines.

These LAS data files include all data points collected. No points have been removed or excluded. 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.

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.

Quantum Spatial, Inc. collected data for the US Forest Service. The data was made available on the USGS Rockyftp site. NOAA OCM downloaded the laz files, the breaklines, metadata and reports and processed the data to be available from the Digital Coast.