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OCM Partners, 2023: 2011 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Rattlesnake,

Item Identification

Title: 2011 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Rattlesnake
Short Name: wa2011_pslc_rattlesnake_m2587_metadata
Status: Completed
Publication Date: 2013-11-23

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

between September 15th and November 5th, and from November 6th - 13th, 2010 for the Puget

Sound LiDAR Consortium. This report documents the data acquisition, processing methods,

accuracy assessment, and deliverables for the Rattlesnake area of interest in Benton

County, WA. The requested areas were expanded to include a 100m buffer to ensure

complete coverage and adequate point densities around survey area boundaries.

The total acreage of the Rattlesnake AOI is 184,359 acres.

The average first-return density of the delivered dataset is 8.3 points per square meter

for the Rattlesnake study area. The initial datasets, acquired to be =8 points per square

meter, were filtered as described previously to remove spurious or inaccurate points.

Additionally, some types of surfaces (i.e., dense vegetation, breaks in terrain, water,

steep slopes) may return fewer pulses (delivered density) than the laser originally

emitted (native density).


The LAS files can be used to create DEMs and also to extract topographic data in software that

does not support raster data. Other surface features can also be extracted with custom


LiDAR data has a wide range of uses such as earthquake hazard studies, hydrologic modeling,

forestry, coastal engineering, roadway and pipeline engineering, flood plain mapping,

wetland studies, geologic studies and a variety of analytical and cartographic projects.



Supplemental Information:

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

A report explaining collection and quality assurance is available at:

2011 Kittitas is not directly associated to the data represented in the Rattlesnake area, though

the information in the Kittitas report may be useful to an advanced user for comparative

analysis, it 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 Terrapoint, 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: 692813
Date Effective From: 2013-11-23
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: 692815
Date Effective From: 2013-11-23
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: 692816
Date Effective From: 2013-11-23
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: 692814
Date Effective From: 2013-11-23
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: 1134845
W° Bound: -119.8917772
E° Bound: -119.4011374
N° Bound: 46.64934815
S° Bound: 46.32284593

Extent Group 1 / Time Frame 1

CC ID: 1134835
Time Frame Type: Discrete
Start: 2010-09-15

Extent Group 1 / Time Frame 2

CC ID: 1134836
Time Frame Type: Discrete
Start: 2010-11-05

Extent Group 1 / Time Frame 3

CC ID: 1134837
Time Frame Type: Discrete
Start: 2010-11-06

Extent Group 1 / Time Frame 4

CC ID: 1134838
Time Frame Type: Discrete
Start: 2010-11-07

Extent Group 1 / Time Frame 5

CC ID: 1134839
Time Frame Type: Discrete
Start: 2010-11-08

Extent Group 1 / Time Frame 6

CC ID: 1134840
Time Frame Type: Discrete
Start: 2010-11-09

Extent Group 1 / Time Frame 7

CC ID: 1134841
Time Frame Type: Discrete
Start: 2010-11-10

Extent Group 1 / Time Frame 8

CC ID: 1134842
Time Frame Type: Discrete
Start: 2010-11-11

Extent Group 1 / Time Frame 9

CC ID: 1134843
Time Frame Type: Discrete
Start: 2010-11-12

Extent Group 1 / Time Frame 10

CC ID: 1134844
Time Frame Type: Discrete
Start: 2010-11-13

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: 743396
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: 743397
Download URL:
File Name: Bulk Download

Simple download of data files.



CC ID: 743399
URL Type:
Online Resource


CC ID: 743400
URL Type:
Online Resource


CC ID: 743401
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: kmz

This graphic shows the lidar coverage for the 2011 Rattlesnake area of Washington, collected

in 2010.

Activity Log

Activity Log 1

CC ID: 692841
Activity Date/Time: 2016-05-23

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 692840
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: 718769
Activity Date/Time: 2018-02-08

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 743398
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.

; Quantitative Value: 1.0 meters, Test that produced the value: Lidar horizontal accuracy was not reported.

Vertical Positional Accuracy:

To minimize the contributions of laser noise and relative accuracy to absolute error, a

number of noise filtering and calibration procedures were performed prior to evaluating

absolute accuracy. The LiDAR quality assurance process uses the data from the real-time

kinematic (RTK) ground survey conducted in the AOI. For the Rattlesnake study a total 2064

RTK GPS measurements were collected on hard surfaces distributed among multiple flight swaths.

To assess absolute accuracy the location coordinates of these known RTK ground points

were compared to those calculated for the

closest ground-classified laser points.

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.

; Quantitative Value: 0.036 meters, Test that produced the value: Absolute vertical accuracy was 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 flight lines have been examined to ensure that there was at least 50% sidelap,

there are no 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.


Process Steps

Process Step 1

CC ID: 1134832

1. Resolved kinematic corrections for aircraft position data using kinematic aircraft GPS

and static ground GPS data.

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

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

aircraft position with attitude data. Sensor head position and attitude were

calculated throughout the survey. The SBET data were used extensively for laser point


Software used - IPAS v.1.35

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 used - ALS Post Processing Software v.2.70

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


Software used - TerraScan v.10.009

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 calibration.

Software used - TerraMatch v.10.006

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 used - TerraScan v.10.009, TerraModeler v.10.004

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 grids.

Software used - TerraScan v.10.009, ArcMap v. 9.3.1, TerraModeler v.10.004

Report compiled 20110207

Process Date/Time: 2011-02-07 00:00:00

Process Step 2

CC ID: 1134833

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 4602, 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 files were converted from txt format to las format using LASTools' txt2las

retaining the classified points, 1 (unclassified) and 2 (ground).

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

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

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

Coordinate system (NAD83)

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

Process Date/Time: 2013-11-23 00:00:00

Catalog Details

Catalog Item ID: 50164
GUID: gov.noaa.nmfs.inport:50164
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