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OCM Partners, 2024: 2011 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Quinault River Basin,

Item Identification

Title: 2011 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Quinault River Basin
Short Name: wa2011_pslc_quinault_m2603_metadata
Status: Completed
Publication Date: 2013-12-05

Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (LiDAR) data

on the Quinault River Basin survey area for the Puget Sound LiDAR Consortium and

the Quinault Indian Nation. Delivery 1 of the survey area was collected on April

16th, 29th, 30th, and May 1st, 2011 and delivered on June 14th, 2011. Delivery 2

of the survey area was collected on November 6th -19th, and December 1st - 4th,

2011. This report documents the data acquisition, processing methods, accuracy

assessment, and deliverables for the first 91,162 acres of Delivery 1 data and

the final 144,033 acres of Delivery 2 data for a total of 234,394 acres. The

requested area was expanded to include a 100m buffer to ensure complete coverage

and adequate point densities around survey area boundaries. The 2012 Quinault

River Basin data (Delivery 2) were integrated with overlapping portions of the

2011 data (Delivery 1) to provide seamless models.


Provide high resolution terrain elevation and land cover elevation data.



Supplemental Information:

A footprint of this data set may be viewed in Google Earth at:

Reports explaining collection and quality assurance is available at:


Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category
None LAZ

Physical Location

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

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: As Needed
Data Presentation Form: las
Entity Attribute Overview:

LiDAR points in LAZ format (ASPRS Classes 1,2)

Entity Attribute Detail Citation:


Distribution Liability:

Any conclusions drawn from the analysis of this information are not the responsibility

of Watershed Sciences, PSLC, NOAA, the Office for Coastal Management or its partners.

Data Set Credit: Please credit the Puget Sound LiDAR Consortium (PSLC) for these data. The PSLC is supported by the Puget Sound Regional Council, the National Aeronautical and Space Administration (NASA), the United States Geological Survey (USGS) and numerous partners in local, state, and tribal government.

Support Roles

Data Steward

CC ID: 692761
Date Effective From: 2013-12-05
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: 692763
Date Effective From: 2013-12-05
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: 692764
Date Effective From: 2013-12-05
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: 692762
Date Effective From: 2013-12-05
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: 1134965
W° Bound: -124.36281791
E° Bound: -123.78635155
N° Bound: 47.74485454
S° Bound: 47.24383491

Spatial Information

Spatial Representation

Representations Used

Vector: Yes

Access Information

Security Class: Unclassified
Data Access Procedure:

This data can be obtained on-line at the following URL:


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. These data depict the heights at the time of the survey and are only accurate for that time.

Distribution Information

Distribution 1

CC ID: 743390
Download URL:
File Name: Customized Download

Create custom data files by choosing data area, product type, map projection, file format, datum, etc.

Distribution 2

CC ID: 743391
Download URL:
File Name: Bulk Download

Simple download of data files.



CC ID: 743393
URL Type:
Online Resource


CC ID: 743394
URL Type:
Online Resource


CC ID: 743395
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: kmz

This graphic shows the lidar coverage for the Quinault collected in 2011 in Grays Harbor

county Washington.

Activity Log

Activity Log 1

CC ID: 692802
Activity Date/Time: 2016-05-23

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 692801
Activity Date/Time: 2017-11-14

Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using '' script. Contact Tyler Christensen (NOS) for details.

Activity Log 3

CC ID: 718768
Activity Date/Time: 2018-02-08

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 743392
Activity Date/Time: 2018-03-13

Partial upload to move data access links to Distribution Info.

Data Quality


Elevations are recorded in floating-point meters and the vertical datum is ellipsoidal (GEOID03).

Horizontal Positional Accuracy:

Horizontal positional accuracy for LiDAR is dependent upon the quality of

the GPS/INS solution, sensor calibration and ground conditions at the time of data capture.

The standard system results for horizontal accuracy are less than 1 meter. Not reported, assumed as 1.0 m.

; Quantitative Value: 1.0 meters, Test that produced the value: See LiDAR data report.

Vertical Positional Accuracy:

Review the report cited as supplemental information above for details on accuracy assessment.; Quantitative Value: 0.03 meters, Test that produced the value:

Summary statistics for point resolution

and accuracy (relative and absolute) for Deliveries 1 and 2 of the Quinault River

Basin study area were combined and are presented below in terms of central

tendency, variation around the mean, and the spatial distribution of the data

(for point resolution by tile). Laser pulses are absorbed by the water surface

or returned at a low intensity, therefore native return densities will be lower

in areas of water. In addition, ground densities will be lower in areas of

dense vegetation, such as much of the Quinault River Basin survey area.

Vertical accuracy calculated to 3.6 cm.

Completeness Report:

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

Conceptual Consistency:

LiDAR survey datasets were referenced to the 1 Hz static ground GPS data collected over presurveyed

monuments with known coordinates. While surveying, the aircraft collected 2 Hz kinematic GPS data,

and the onboard inertial measurement unit (IMU) collected 200 Hz aircraft attitude data. Leica IPAS

Suite was used to process the kinematic corrections for the aircraft. The static and kinematic GPS

data were then post-processed after the survey to obtain an accurate GPS solution and aircraft

positions. Waypoint was used to develop a trajectory file that includes corrected aircraft position

and attitude information. The trajectory data for the entire flight survey session were incorporated

into a final smoothed best estimated trajectory (SBET) file that contains accurate and continuous

aircraft positions and attitudes.


Process Steps

Process Step 1

CC ID: 1134961


The LiDAR survey utilized a Leica ALS50-II sensor in a Cessna Caravan 208B.

Depending on acquisition day, weather, and terrain, the Leica systems were set to

acquire 105,000 laser pulses per second (i.e.105 kHz pulse rate) and flown at 900

meters above ground level (AGL), capturing a scan angle of +/- 14 degrees from

nadir. These settings were developed to yield points with an average native

pulse density of 8 pulses per square meter over terrestrial surfaces. It is not

uncommon for some types of surfaces to return fewer pulses than the laser

originally emitted. These discrepancies between 'native' and 'delivered' density will

vary depending on terrain, land cover, and the prevalence of water bodies.

All areas were surveyed with an opposing flight line side-lap of more than 60%

(less than 100% overlap) to reduce laser shadowing and increase surface

laser painting. The Leica laser systems allow up to four range

measurements (returns) per pulse, and all discernable laser returns

were processed for the output dataset.

To accurately solve for laser point position (geographic coordinates x, y, z)

the positional coordinates of the airborne sensor and the attitude of the

aircraft were recorded continuously throughout the LiDAR data collection

mission. Aircraft position was measured twice per second (2 Hz) by an onboard

differential GPS unit. Aircraft attitude was measured 200 times per second

(200 Hz) as pitch, roll and yaw (heading) from an onboard inertial measurement

unit (IMU). To allow for post-processing correction and calibration,

aircraft/sensor position and attitude data are indexed by GPS time.

Process Step 2

CC ID: 1134962

1. Resolved kinematic corrections for aircraft position data using kinematic

aircraft GPS and static ground GPS data.

Software - Waypoint GPS v.8.10, Trimble Business Center 2.6

2. Developed a smoothed best estimate of trajectory (SBET) file that blends

post-processed aircraft position with attitude data. Sensor head position and

attitude were calculated throughout the survey. The SBET data were used

extensively for laser point processing.

Software - IPAS TC v.3.1

3. Calculated laser point position by associating SBET position to each laser

point return time, scan angle, intensity, etc. Created raw laser point cloud

data for the entire survey in *.las (ASPRS v. 1.2) format.

Software - ALS Post Processing Software v.2.74, Corpscon 6

4. Imported raw laser points into manageable blocks (less than 500 MB) to

perform manual relative accuracy calibration and filter for pits/birds. Ground

points were then classified for individual flight lines (to be used for

relative accuracy testing and calibration).

Software - TerraScan v.12.004

5. Using ground classified points per each flight line, the relative

accuracy was tested. Automated line-to-line calibrations were then performed

for system attitude parameters (pitch, roll, heading), mirror flex (scale)

and GPS/IMU drift. Calibrations were performed on ground classified points

from paired flight lines. Every flight line was used for relative accuracy


Software - TerraMatch v.12.001

6. Position and attitude data were imported. Resulting data were classified

as ground and non-ground points. Statistical absolute accuracy was assessed

via direct comparisons of ground classified points to ground RTK survey data.

Data were then converted to orthometric elevations (NAVD88) by applying a

Geoid03 correction. Software: TerraScan v.12.004, TerraModeler v.12.002

7. Bare Earth models were created as a triangulated surface and exported as

ArcInfo ASCII grids at a 3-foot pixel resolution. Highest Hit models were

created for any class at 3-foot grid spacing and exported as ArcInfo ASCII


Software - TerraScan v.12.004, ArcMap v.10.0, TerraModeler v.12.002

Process Step 3

CC ID: 1134963

The NOAA Office for Coastal Management (OCM) downloaded topographic files in LAZ format from PSLC's website.

The files contained lidar easting, northing, elevation, intensity, return number, class, scan angle

and GPS time measurements; the data was received in state plane Washington (in feet) and vertical coordinates were

referenced to NAVD88 in feet using the Geoid03 model.

OCM performed the following processing for data storage and Digital Coast provisioning purposes:

1. The All-Return LAZ files were checked for bad elevations

2. The laz files were converted from a Projected Coordinate System (SP 4602) to a Geographic Coordinate system (NAD83)

3. The laz files were then converted to ellipsoidal vertical units in meters using the geoid03 conversion.

Process Date/Time: 2013-12-04 00:00:00

Catalog Details

Catalog Item ID: 50163
GUID: gov.noaa.nmfs.inport:50163
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-15 15:24+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2022-08-09 17:11+0000
Metadata Record Published: 2022-03-16
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-03-16
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2023-03-16