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Short Citation:
OCM Partners, 2023: 2012 USFS Lidar: Colville National Forest, WA,

Item Identification

Title: 2012 USFS Lidar: Colville National Forest, WA
Short Name: 2012 Colville lidar m9754
Status: Completed
Creation Date: 2012-11-26
Publication Date: 2023-02-10

Light Detection and Ranging data (lidar) of the Colville National Forest Study Area. The requested lidar area of interest (AOI) totals approximately 400 square miles, or 256,155 acres. This area was buffered to ensure data coverage, resulting in a total area flown (TAF) of 282,901 acres.


Provide a lidar point cloud for forestry management.


This metadata was created years after the data collection based upon the available project report from the lidar contractor.


Theme Keywords

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

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords

Instrument Keywords

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

Platform Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane

Physical Location

Organization: Office for Coastal Management

Data Set Information

Data Set Scope Code: Data Set
Data Set Type: Elevation
Maintenance Frequency: As Needed
Data Presentation Form: Model (digital)
Entity Attribute Overview:

LAS format data with attributes of x, y, z, intensity, seconds of gps week,

Entity Attribute Detail URL:
Data Set Credit: US Forest Service; Watershed Sciences, Inc.

Support Roles

Data Steward

CC ID: 1218316
Date Effective From: 2023-02-09
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: 1218315
Date Effective From: 2023-02-09
Date Effective To:
Contact (Organization): Office for Coastal Management (OCM)
Address: 2234 South Hobson Avenue
Charleston, SC 29405-2413

Metadata Contact

CC ID: 1218317
Date Effective From: 2023-02-09
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


Extent Group 1

Extent Description:

Colville National Forest Study Area

Extent Group 1 / Geographic Area 1

CC ID: 1218332
W° Bound: -118.89
E° Bound: -118.36
N° Bound: 49.01
S° Bound: 48.5114

Extent Group 1 / Time Frame 1

CC ID: 1218330
Time Frame Type: Range
Start: 2012-10-03
End: 2012-10-09

Airborne lidar collection period.

Spatial Information

Spatial Resolution

Horizontal Distance: 0.6 Meter

Spatial Representation

Representations Used

Vector: Yes

Vector Representation 1

CC ID: 1218323
Point Object Present?: Yes
Point Object Count: 4692951642

Reference Systems

Reference System 1

CC ID: 1218333

Coordinate Reference System

CRS Type: Geographic 3D
EPSG Code: EPSG:6319
EPSG Name: NAD83(2011)
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
Data Access Constraints:


Data Use Constraints:


Metadata Access Constraints:


Metadata Use Constraints:


Distribution Information

Distribution 1

CC ID: 1218318
Start Date: 2023-02-09
End Date: Present
Download URL:
Distributor: Office for Coastal Management (OCM) (2023-02-09 - Present)

Custom download allowing user selection of area, projection, format, etc.

File Type (Deprecated): Zip
Compression: Zip

Distribution 2

CC ID: 1218319
Start Date: 2023-02-09
End Date: Present
Download URL:
Distributor: Office for Coastal Management (OCM) (2023-02-09 - Present)

Bulk download of files. These are in orthometric NAVD88 vertical datum.

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



CC ID: 1218320
Name: Colville Data Report
URL Type:
Online Resource
File Resource Format: pdf

Data report from the contractor. Represents the data as delivered to USFS. Modifications have occurred to the data, as noted in this metadata. The report also describes imagery products that NOAA did not receive.

Data Quality

Vertical Positional Accuracy:

absolute accuracy RMSE = 0.05 meters

standard deviation = 0.05 meters

Based on checkpoint data. No independent survey data were collected. This is "compiled to meet" in accordance with ASPRS guidelines.



Classified point cloud

CC ID: 1218325
Contact Role Type: Originator
Contact Type: Organization
Contact Name: USFS

Process Steps

Process Step 1

CC ID: 1218326

Airborne acquisition was conducted between 10:00am and 2:00pm each day. The LiDAR survey utilized a Leica ALS50 sensor mounted in a Cessna Caravan. The system was set to acquire greater than 114,600 laser pulses per second and flown at 2000 meters above ground level (AGL), capturing a scan angle of ±14 degrees from nadir. These settings are developed to yield points with an average native pulse density of 2 points per square meter over terrestrial surfaces.

Aircraft position was measured twice per second (2 Hz) by an onboard differential GPS unit. Aircraft attitude is described as pitch, roll, and yaw (heading) and was measured 200 times per second (200 Hz) from an onboard inertial measurement unit (IMU).

The study area was surveyed with opposing flight line side-lap of at least 60% (greater than 100% overlap) to reduce laser shadowing and increase surface laser painting. The system allows up to four range measurements per pulse, and all discernable laser returns were processed for the output dataset.

Process Date/Time: 2012-10-09 00:00:00

Process Step 2

CC ID: 1218327

Resolve GPS kinematic corrections for aircraft position data using kinematic aircraft GPS (Collected at 2 Hz) and static ground GPS (1 Hz) data collected over geodetic controls using POSGNSS v. 5.3, Trimble Business Center v. 2.81, PosPacMMS v 5.4

Develop a smoothed best estimate of trajectory (SBET) file that blends post-processed aircraft position with attitude data. Sensor heading, position, and attitude are calculated throughout the survey using POSGNSS v. 5.3, PosPacMMS v5.4

Calculate laser point position by associating SBET information to each laser point return time, with offsets relative to scan angle, intensity, etc. included. This process creates the raw laser point cloud data for the entire survey in *.las (ASPRS v1.2) format, in which each point maintains the corresponding scan angle, return number (echo), intensity, and x, y, z information. These data are converted to orthometric elevation (NAVD88) by applying a Geoid 12 correction using OPTECH LiDAR Mapping Suite (LMS) v. 2.1

Import raw laser points into subset bins (less than 500 MB, to accommodate file size constraints in processing software). Filter for noise and perform manual relative accuracy calibration. Ground points are then classified for individual flight lines to be used for relative accuracy testing and calibration using TerraScan v.12, Custom Watershed Sciences software

Test relative accuracy using ground classified points per each flight line. Perform automated line-to-line calibrations for system attitude parameters (pitch, roll, heading), mirror flex (scale) and GPS/IMU drift. Calibrations are performed on ground classified points from paired flight lines. Every flight line is used for relative accuracy calibration using TerraMatch v.12, TerraScan v.12, Custom Watershed Sciences software.

Assess Fundamental vertical accuracy via direct comparisons of ground classified points to ground RTK survey data with TerraScan v.12

Process Date/Time: 2012-11-20 00:00:00

Process Step 3

CC ID: 1218328

Classified point clouds were received by NOAA from US Forest Service in NAD83(2011) UTM zone 11 meters, NAVD88/Geoid12. For ingest into the Digital Coast Data Access Viewer, the data were converted to geographic coordinates and the geoid model was removed.

Process Date/Time: 2023-02-09 00:00:00
Process Contact: NOAA Office for Coastal Management (NOAA/OCM)
Phone (Voice): (843) 740-1202
Email Address:
Source: Classified point cloud

Catalog Details

Catalog Item ID: 69264
GUID: gov.noaa.nmfs.inport:69264
Metadata Record Created By: Kirk Waters
Metadata Record Created: 2023-02-10 13:34+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2023-10-17 16:12+0000
Metadata Record Published: 2023-02-14
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