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OCM Partners, 2023: 2009-2010 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: USGS Wenas valley,

Item Identification

Title: 2009-2010 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: USGS Wenas valley
Short Name: wa2009_2010_usgs_pslc_wenasvalley_m2588_metadata
Status: Completed
Publication Date: 2013-11-18

The dataset encompasses portions of Wenas Valley in Kitittas and Yakima Counties, Washington.

The bare earth digital elevation models (DEMs) represent the earth's surface with all

vegetation and human-made structures removed. The bare earth DEMs were derived from

LiDAR data using TIN processing of the ground point returns. Some elevation values

have been interpolated across areas in the ground model where there is no elevation

data (e.g. over dense vegetation).

The DEM grid cell size is 3-ft. The projection is NAD83 (HARN) Washington State Plane,

South. The elevation units are in U.S. Survey Feet.

Watershed Sciences, Inc. collected the LiDAR and created this data set for the Puget

Sound LiDAR Consortium.

Watershed Sciences, Inc. (WS) initially collected 37,969 acres of Light Detection

and Ranging (LiDAR) data of the Wenas Valley area of interest (AOI) in Kittitas and Yakima

Counties, WA on October 28th, 2009. This data was delivered on November 21st, 2009.

After the AOI was clear of snow, the remaining 110,255 acres were collected on March

22nd and from June 12th to June 16th, 2010. The total deliverable area including a

100 m buffer is 148,224 acres.


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: 692467
Date Effective From: 2013-11-18
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: 692469
Date Effective From: 2013-11-18
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: 692470
Date Effective From: 2013-11-18
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: 692468
Date Effective From: 2013-11-18
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: 1134853
W° Bound: -120.9799304
E° Bound: -120.5481886
N° Bound: 46.90926281
S° Bound: 46.71685056

Extent Group 1 / Time Frame 1

CC ID: 1134852
Time Frame Type: Range
Start: 2009-11-21
End: 2010-06-16

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: 743336
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: 743337
Download URL:
File Name: Bulk Download

Simple download of data files.



CC ID: 743339
URL Type:
Online Resource


CC ID: 743340
URL Type:
Online Resource


CC ID: 743341
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: kmz

This graphic shows the lidar coverage for the 2009-2010 Wenas Valley area in Washington.

Activity Log

Activity Log 1

CC ID: 692487
Activity Date/Time: 2016-05-23

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 692486
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: 718759
Activity Date/Time: 2018-02-08

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 743338
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:

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

(sigma ~ ) 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, 3120 RTK ground check points were collected on fixed, hard-packed road

surfaces within the survey area.

; Quantitative Value: 0.05 meters, Test that produced the value:

The Root Mean Square Error (RMSE) of the data set is

0.17 ft (5.19 cm). Accuracy was assessed using 3120 ground survey (real time kinematic) points.

Please see LiDAR data report for a discussion of statistics related to these datasets.

Completeness Report:

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

Conceptual Consistency:

LiDAR flight lines have been examined to ensure that there was at least 60% sidelap, there are minimal gaps between

flightlines, and overlapping flightlines have consistent elevation values.

Shaded relief images have been visually inspected for data errors such as pits, border artifacts, gaps, and

shifting. The data was examined at a 1:2000 scale.


Process Steps

Process Step 1

CC ID: 1134848


The LiDAR data was collected on October 28th, 2009, March 22, 2010 and June 12th-16th, 2010.

The survey used both the Leica ALS50 Pase II and ALS 60 laser systems mounted in a Cessna Caravan

208. Near nadir scan angles were used to increase penetration of vegetation to ground surfaces.

Ground level GPS and aircraft IMU were collected during the flight.

Process Step 2

CC ID: 1134849

1. Flight lines and data were reviewed to ensure complete coverage of the study area and

positional accuracy of the laser points.

2. Laser point return coordinates were computed using ALS Post Processor software,

IPAS Pro GPS/INS software, and Waypoint GPS, based on independent data from the

LiDAR system, IMU, and aircraft.

3. The raw LiDAR file was assembled into flight lines per return with each point

having an associated x, y, and z coordinate.

4. Visual inspection of swath to swath laser point consistencies within

the study area were used to perform manual refinements of system alignment.

5. Custom algorithms were designed to evaluate points between adjacent flight lines.

Automated system alignment was computed based upon randomly selected swath to

swath accuracy measurements that consider elevation, slope, and intensities.

Specifically, refinement in the combination of system pitch, roll and yaw

offset parameters optimize internal consistency.

6. Noise (e.g., pits and birds) was filtered using ALS postprocessing software,

based on known elevation ranges and included the removal of any cycle slips.

7. Using TerraScan and Microstation, ground classifications utilized custom settings

appropriate to the study area.

8. The corrected and filtered return points were compared to the RTK ground survey points

collected to verify the vertical and horizontal accuracies.

9. Points were output as laser points, TINed and GRIDed surfaces

Process Step 3

CC ID: 1134850

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

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

and GPS time measurements. The data were received in Washington State Plane South Zone 4601, NAD83

coordinates and were vertically referenced to NAVD88 using the Geoid03 model. The vertical units of

the data were feet. OCM performed the following processing for data storage and Digital Coast

provisioning purposes:

1. The All-Return ASCII txt files were parsed to LAS files.

2. The All-Return ASCII files were converted from txt format to las format using LASTools' txt2las tool and

reclassified to fit the OCM class list, N=1 (unclassified), G=2 (ground).

3. The las files were converted from orthometric (NAVD88) heights to ellipsoidal heights using Geoid03.

4. The las files' vertical units were converted from feet to meters, removing bad elevations.

5. The las files were converted from a Projected Coordinate System (WA SP South) to a Geographic Coordinate system (NAD83)

6. The las files' horizontal units were converted from feet to decimal degrees and converted to laz format.

Process Date/Time: 2013-11-18 00:00:00

Catalog Details

Catalog Item ID: 50154
GUID: gov.noaa.nmfs.inport:50154
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