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OCM Partners, 2024: USFS 2020 Lidar: Wallowa-Whitman National Forest,

Item Identification

Title: USFS 2020 Lidar: Wallowa-Whitman National Forest
Short Name: WallowaWhitman_35989_point_cloud_inport.xml
Status: Completed
Publication Date: 2020-12-04

Product: These lidar data are processed Classified LAS 1.4 files, formatted to 1773 individual 1000 m x 1000 m tiles.

Geographic Extent: 7 counties in Oregon, covering approximately 684 total square miles.

Dataset Description: The Wallowa-Whitman National Forest project called for the planning, acquisition, processing, and derivative products of lidar data 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 Base LiDAR Specification, Version 1.3. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 1773 individual 1000 m x 1000 m tiles. Continuous breaklines were produced in Esri file geodatabase format.

Ground Conditions: Lidar was collected in summer 2020, while no snow was on the ground and rivers were at or below normal levels. Twenty-seven independent accuracy checkpoints, 27 in Bare Earth and Urban landcovers (27 NVA points) were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

The original lidar specification information has been retained below. However, the class system does not match the data as received by NOAA from USFS, nor the current class system. See the processing lineage for more detail.


To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create intensity images and raster DEMs. The purpose of these LiDAR data was to produce high accuracy 3D hydro-flattened digital elevation models (DEMs) with a 0.5 meter cell size.

Supplemental Information:

Contract No. 1205M619C0019, CONTRACTOR: Quantum Spatial, Inc.

The following are the USGS lidar fields in JSON:


"ldrinfo" : {

"ldrspec" : "USGS-NGP Base Specification v1.3",

"ldrsens" : "Riegl VQ1560i",

"ldrmaxnr" : "unlimited",

"ldrnps" : "0.35",

"ldrdens" : "8.0",

"ldranps" : "0.35",

"ldradens" : "8.16",

"ldrfltht" : "1950",

"ldrfltsp" : "145",

"ldrscana" : "29",

"ldrscanr" : "102",

"ldrpulsr" : "593",

"ldrpulsd" : "3",

"ldrpulsw" : "0.35",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.18",

"ldrswatw" : "2162.0",

"ldrswato" : "55",

"ldrgeoid" : "Geoid 12b",

"ldrcrs" : "NAD 1983 USFS R6 Albers, Meter"


"ldraccur" : {

"ldrchacc" : "0",

"rawnva" : "0.0533",

"rawnvan" : "27",

"clsnva" : "0.0525",

"clsnvan" : "27",

"clsvva" : "0.0",

"clsvvan" : "0"


"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" : "Low Noise"


"lasclass" : {

"clascode" : "18",

"clasitem" : "High Noise"


"lasclass" : {

"clascode" : "21",

"clasitem" : "Snow (where identifiable)"




Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
Global Change Master Directory (GCMD) Science Keywords
ISO 19115 Topic Category

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
Global Change Master Directory (GCMD) Location Keywords
Global Change Master Directory (GCMD) Location Keywords
None Baker County
None Grant County
None Lane County
None Linn County
None Umatilla County
None Union County
None Wallowa County

Instrument Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Data Set Type: Elevation
Maintenance Frequency: None Planned
Data Presentation Form: Model (digital)
Distribution Liability:

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

Data Set Credit: US Forest Service; Quantum Spatial, Inc.

Support Roles

Data Steward

CC ID: 1218102
Date Effective From: 2023
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202


CC ID: 1218101
Date Effective From: 2023
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202

Metadata Contact

CC ID: 1218103
Date Effective From: 2023
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202

Point of Contact

CC ID: 1218104
Date Effective From: 2023
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202


Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1218107
W° Bound: -122.41020171
E° Bound: -116.71886235
N° Bound: 45.5762879602
S° Bound: 44.1188881178

Extent Group 1 / Time Frame 1

CC ID: 1218106
Time Frame Type: Range
Start: 2020-07-11
End: 2020-07-23

Spatial Information

Spatial Representation

Representations Used

Grid: No
Vector: Yes
Text / Table: No
Stereo Model: No
Video: No

Reference Systems

Reference System 1

CC ID: 1218095

Coordinate Reference System

CRS Type: Geographic 2D
EPSG Code: EPSG:6318
EPSG Name: NAD83(2011)
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk or custom downloads

Data Access Constraints:


Data Use Constraints:

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.

Distribution Information

Distribution 1

CC ID: 1218108
Start Date: 2023-02-09
End Date: Present
Download URL:
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2023 - Present)
File Name: Customized Download

Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.

File Type (Deprecated): Zip
Compression: Zip

Distribution 2

CC ID: 1218109
Start Date: 2023-02-09
End Date: Present
Download URL:
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2023 - Present)
File Name: Bulk Download

Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum.

File Type (Deprecated): LAZ
Distribution Format: LAS/LAZ - LASer
Compression: Zip



CC ID: 1218097
Name: NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
URL Type:
Online Resource
File Resource Format: HTML

The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer.


CC ID: 1218098
Name: Browse graphic
URL Type:
Browse Graphic
File Resource Format: KML

This graphic displays the footprint for this lidar data set.


CC ID: 1218099
Name: Report
URL Type:
Online Resource
File Resource Format: PDF

Technical Environment


MicroStation Version Connect; TerraScan Version 20.011; TerraModeler Version 20.004; GeoCue Version 2017.1.14.1; Esri ArcGIS 10.6; Global Mapper 19/20; RiProcess 1.8.5; Windows 10 Operating System


Data Quality

Vertical Positional Accuracy:

The specifications require that only nonvegetated vertical accuracy (NVA) be computed for raw LiDAR data swath files. The vertical accuracy was tested with 27 independent survey points located in open terrain. These check points were not used in the calibration or post processing of the LiDAR data. The survey check points were distributed throughout the project area.Quantitative value: 0.0533, Test that produced the value:

Tested 0.0533 meters NVA at a 95% confidence level using 27 independent survey points located in open terrain. The survey check points were distributed throughout the project area. The 27 independent check points were surveyed using GPS techniques. See survey report for additional survey methodologies. Elevations from the unclassified LiDAR surface were measured for the x,y location of each checkpoint. Elevations interpolated from the LiDAR surface were then compared to the elevation values of the surveyed control points. The root mean square error vertical (RMSEz) was computed to be 0.0272 meters. AccuracyZ has been tested to meet 19.0 cm NVA at 95-percent confidence level using (RMSEz * 1.9600) as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using American Society of Photogrammetry and Remote Sensing (ASPRS) Guidelines.

Completeness Report:

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 the data pass Non-Vegetated Vertical Accuracy specifications.

Conceptual Consistency:

Data cover the entire area specified for this project.

Data Management

Have Resources for Management of these Data Been Identified?: Yes
Approximate Percentage of Budget for these Data Devoted to Data Management: Unknown
Do these Data Comply with the Data Access Directive?: Yes
Actual or Planned Long-Term Data Archive Location: NCEI-CO
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?:

Data is backed up to tape and to cloud storage.



Classified Lidar Point Cloud

CC ID: 1218124
Contact Role Type: Originator
Contact Type: Organization
Contact Name: US Forest Service
Source Contribution:

Point cloud provided to NOAA from USFS

Process Steps

Process Step 1

CC ID: 1218091

Raw Data and Boresight Processing: The boresight for each lift was done individually as the solution may change slightly from lift to lift. The following steps describe the Raw Data Processing and Boresight process: 1) Technicians processed the raw data to LAS format flight lines using the final GPS/IMU solution. This LAS data set was used as source data for boresight. 2) Technicians first used Quantum Spatial, Inc. proprietary and commercial software to calculate initial boresight adjustment angles based on sample areas selected in the lift. These areas cover calibration flight lines collected in the lift, cross tie, and production flight lines. These areas are well distributed in the lift coverage and cover multiple terrain types that are necessary for boresight angle calculation. The technicians then analyzed the results and made any necessary additional adjustment until it was acceptable for the selected areas. 3) Once the boresight angle calculation was completed for the selected areas, the adjusted settings were applied to all of the flight lines of the lift and checked for consistency. The technicians utilized commercial and proprietary software packages to analyze how well flight line overlaps matched for the entire lift and adjusted as necessary until the results met the project specifications. 4) Once all lifts were completed with individual boresight adjustment, the technicians checked and corrected the vertical misalignment of all flight lines and also the matching between data and ground truth. The relative accuracy was less than or equal to 7 cm RMSEz within individual swaths and less than or equal to 10 cm RMSEz or within swath overlap (between adjacent swaths). 5) The technicians ran a final vertical accuracy check of the boresighted flight lines against the surveyed checkpoints after the z correction to ensure the requirement of NVA = 19.6 cm 95% Confidence Level (Required Accuracy) was met.

Process Date/Time: 2020-01-01 00:00:00

Process Step 2

CC ID: 1218092

LAS Point Classification: The point classification was performed as described below. The bare earth surface was manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface was finalized, it was then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS Class 2) LiDAR data inside of the Lake Pond and Double Line Drain hydro-flattened breaklines were then classified to Water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 1 meter was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 20). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes. The overlap data was classified using standard LAS overlap bit. These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the withheld bit within various software packages. These processes were reviewed and accepted through numerous conference calls and pilot study areas. All data were manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper was used as a final check of the bare earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files for both the All Point Cloud Data and the Bare Earth. Quantum Spatial, Inc. proprietary software was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics and full LAS header information.

Process Date/Time: 2020-01-01 00:00:00

Process Step 3

CC ID: 1218093

The point cloud data was received by NOAA Office for Coastal Management from the US Forest Service Region 6. For ingest into the Digital Coast Data Access Viewer, the projection was changed from the USFS region 6 Albers to geographic and the geoid model (geoid12b) was removed. The point classes were found to have at least a small number (30 to 50) of points in all 255 possible classes. Of the classes with a significant number of points, visual inspection revealed that class 14 was bridge decks. This was moved to class 17 to conform to the ASPRS LAS 1.4 specification. All classes with a small number of points were reset to class 1 (unclassified).

Process Date/Time: 2023-02-08 00:00:00
Process Contact: Office for Coastal Management (OCM)
Source: Classified Lidar Point Cloud

Catalog Details

Catalog Item ID: 69262
GUID: gov.noaa.nmfs.inport:69262
Metadata Record Created By: Kirk Waters
Metadata Record Created: 2023-02-09 12:00+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2023-10-17 16:12+0000
Metadata Record Published: 2023-02-09
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2023-02-09
Metadata Review Frequency: 3 Years
Metadata Next Review Date: 2026-02-09