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OCM Partners, 2023: 2009 Puget Sound Lidar Consortium (PSLC) Topographic LiDAR: Nooksack River,

Item Identification

Title: 2009 Puget Sound Lidar Consortium (PSLC) Topographic LiDAR: Nooksack River
Short Name: wa2009_pslc_nooksack_m2608_metadata
Status: Completed
Publication Date: 2013-12-05

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

of the Nooksack River in Washington on February 20th - 22nd, 2009. The total area

of delivered LiDAR is 35,662 acres. The requested area was expanded to include a

100 m buffer to ensure complete coverage and adequate point densities around

survey area boundaries.


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: 692563
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: 692565
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: 692566
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: 692564
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: 1134994
W° Bound: -122.38339818
E° Bound: -122.12790865
N° Bound: 48.92931299
S° Bound: 48.66437468

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: 743354
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: 743355
Download URL:
File Name: Bulk Download

Simple download of data files.



CC ID: 743357
URL Type:
Online Resource


CC ID: 743358
URL Type:
Online Resource


CC ID: 743359
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: kmz

This graphic shows the lidar coverage of Whatcom County, Washington area collected in 2009.

Activity Log

Activity Log 1

CC ID: 692582
Activity Date/Time: 2016-05-23

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 692581
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: 718762
Activity Date/Time: 2018-02-08

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 743356
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: 0.02 meters, Test that produced the value:

Summary statistics for point resolution and

accuracy (relative and absolute) of the LiDAR data collected in the Douglas County

survey area are presented below in terms of central tendency, variation around

the mean, and the spatial distribution of the data (for point resolution by bin).

Calculated to 2.3 cm, point density of 7.37 points/m2.

Completeness Report:

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

Conceptual Consistency:

The vertical accuracy of the LiDAR data is described as the mean and standard deviation

(sigma ~ s) of divergence of LiDAR point coordinates from RTK ground survey point

coordinates. To provide a sense of the model predictive power of the dataset, the root mean

square error (RMSE) for vertical accuracy is also provided. These statistics assume the error

distributions for x, y, and z are normally distributed, thus we also consider the skew and

kurtosis of distributions when evaluating error statistics.

Statements of statistical accuracy apply to fixed terrestrial surfaces only and may not be

applied to areas of dense vegetation or steep terrain. To calibrate laser accuracy for the

LiDAR dataset, 1018 RTK points were collected on fixed, hard-packed road surfaces within the

survey area.


Process Steps

Process Step 1

CC ID: 1134990


The lidar survey uses a Leica ALS50 Phase II laser system. For the Wenatchee USGS survey

area, the sensor scan angle +/- 14 degrees from nadir with a pulse rate designed to yield an

average native density (number of pulses emitted by the laser system) of more than 8 points

per square meter over terrestrial surfaces. All survey areas were surveyed with an opposing

flight line side-lap of more than 50% (less than 100% overlap) to reduce laser shadowing and

increase surface laser painting. The Leica ALS50 Phase II system allows up to four range

measurements (returns) per pulse, and all discernible laser returns were processed for the

output dataset. It is not uncommon for some types of surfaces (e.g. dense vegetation or water)

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


To accurately solve for laser points 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, 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 Date/Time: 2009-02-22 00:00:00

Process Step 2

CC ID: 1134991

Resolved kinematic corrections for aircraft position data using kinematic aircraft GPS and

static ground GPS data.

Software - Waypoint GPS v.8.10, Trimble Geomatics Office v.1.62

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 v.1.4

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 v1.1) format.

Software: ALS Post Processing Software v.2.69

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.9.001

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 calibration.

Software - TerraMatch v.9.001

Position and attitude data were imported. Resulting data were classified as ground and nonground

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. Ground models were created as a

triangulated surface and exported as ArcInfo ASCII grids at a 3-foot pixel resolution.

Software - TerraScan v.9.001, ArcMap v.9.3, TerraModeler v.9.001

Process Date/Time: 2009-04-24 00:00:00

Process Step 3

CC ID: 1134992

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 North (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 4601) 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: 2013-12-02 00:00:00

Catalog Details

Catalog Item ID: 50157
GUID: gov.noaa.nmfs.inport:50157
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