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Short Citation:
OCM Partners, 2024: 2016 USGS Lidar DEM: West Washington, https://www.fisheries.noaa.gov/inport/item/52295.

Item Identification

Title: 2016 USGS Lidar DEM: West Washington
Short Name: wa2016_west_wa_dem_8481_metadata
Status: Completed
Publication Date: 2017-08-31
Abstract:

In March 2016, Quantum Spatial (QSI) was contracted by the United States Geological Survey (USGS), in collaboration with the Washington Department of Natural Resources (WADNR), to collect Light Detection and Ranging (LiDAR) data for the Western Washington 3DEP QL1 LiDAR project site in the state of Washington. The Western Washington 3DEP LiDAR project area covers approximately 3.5 million acres within portions of thirteen counties in the state of Washington.

Dataset Description: RAW flight line swaths were processed to create 13206 classified LAS 1.4 files delineated in 1/100th USGS Quadrangle tiles. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. Additional derived products include intensity images, hydro-flattened DEMs, highest hit surface models, and 3D breaklines of rivers and lakes within the study area.

Ground Conditions: Data was collected during the time when the least ground snow coverage was present in the area. Areas where snow was observed have been delineated in a provided snow polygon shapefile. Acquisition below aircraft free of smoke, fog and cloud cover.

The NOAA Office for Coastal Management (OCM) downloaded the WA_Western-North_2016 and WA_Western-South_2016 Digital Elevation Model (DEM) files from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/OPR/ and processed the data to the Data Access Viewer (DAV) and https.

In addition to these bare earth Digital Elevation Model (DEM) data, the lidar point data that these DEMs were created from, are also available. These data are available for custom download at the link provided in the URL section of this metadata record.

Hydro breaklines are also available. These data are available for download at the link provided in the URL section of this metadata record. Please note that these products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM.

Purpose:

The purpose of the lidar data was to produce a high accuracy 3D dataset that meets all necessary standards laid out by the 3DEP initiative. The raw lidar point cloud data were used to create classified lidar LAS files, intensity images, hydro-flattened DEMs, highest hit surface models, and 3D breaklines of rivers and lakes within the study area.

Supplemental Information:

CONTRACTOR: Quantum Spatial, Inc.

Ground Control Points were acquired and calibrated by Quantum Spatial, Inc.

Data acquisition was coordinated by Quantum Spatial and all Lidar data calibration, and follow-on processing were completed by Quantum Spatial.

The following are the USGS lidar fields in JSON:

{

"lidar" : {

"ldrinfo" : {

"ldrspec" : "U.S. Geological Survey National Geospatial Program LIDAR Base Specification, Version 1.2",

"ldrsens" : "Riegl LMS-Q1560 and Leica ALS80- settings below are max",

"ldrmaxnr" : "15",

"ldrnps" : "0.7 m",

"ldrdens" : "4",

"ldranps" : "0.35",

"ldradens" : "8",

"ldrfltht" : "1900m",

"ldrfltsp" : "150",

"ldrscana" : "60",

"ldrscanr" : "187",

"ldrpulsr" : "800",

"ldrpulsd" : "3",

"ldrpulsw" : "0.899",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.25",

"ldrswatw" : "2100",

"ldrswato" : "60",

"ldrcrs" : "NAD_1983_HARN_WASP_S",

"ldrgeoid" : "National Geodetic Survey (NGS) Geoid03"

},

"ldraccur" : {

"ldrchacc" : "0.5",

"rawnva" : "0.080 m",

"rawnvan" : "182"

},

"lasinfo" : {

"lasver" : "1.4",

"lasprf" : "6",

"laswheld" : "Withheld points are identified in these files using the standard LAS witheld bit",

"lasolap" : "Swath overage points are identified in these files using the standard LAS Witheld and Overlap bits",

"lasintr" : "16",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Processed, but Unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare earth ground"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "Low Noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "Water"

},

"lasclass" : {

"clascode" : "10",

"clasitem" : "Ignored Ground Near Breakline"

},

"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridge Decks"

},

"lasclass" : {

"clascode" : "21",

"clasitem" : "Temporal Snow"

},

"lasclass" : {

"clascode" : "22",

"clasitem" : "Temporal Ground"

},

"lasclass" : {

"clascode" : "23",

"clasitem" : "Temporal Default"

}

}

}}

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
ISO 19115 Topic Category
elevation
UNCONTROLLED
None beach
None DEM
None erosion

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > WASHINGTON
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE

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
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Data Set Type: Elevation
Maintenance Frequency: None Planned
Data Presentation Form: Model (digital)
Distribution Liability:

Any conclusions drawn from the analysis of this information are not the responsibility of Quantum Spatial, Inc., USGS, WA DNR, NOAA, the Office for Coastal Management or its partners.

Data Set Credit: Quantum Spatial, Inc. coordinated the LiDAR acquisition and processed the data, USGS, Washington DNR. Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data.

Support Roles

Data Steward

CC ID: 748946
Date Effective From: 2018
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Distributor

CC ID: 748947
Date Effective From: 2018
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Metadata Contact

CC ID: 748948
Date Effective From: 2018
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Point of Contact

CC ID: 748949
Date Effective From: 2018
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1290589
W° Bound: -123.892239
E° Bound: -120.697868
N° Bound: 49.024049
S° Bound: 45.539222

Extent Group 1 / Time Frame 1

CC ID: 1290588
Time Frame Type: Range
Start: 2016-03-17
End: 2017-06-06
Description:

North: March 17 - Sept 30, 2016

South: March 17, 2016 - June 6, 2017

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for custom and bulk downloads.

Data Access Constraints:

None

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.

Distribution Information

Distribution 1

CC ID: 748950
Start Date: 2018
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8481
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2018 - Present)
File Name: Customized Download
Description:

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

Distribution 2

CC ID: 748951
Start Date: 2018
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/WA_Western_WA_DEM_2016_8481/index.html
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2018 - Present)
File Name: Bulk Download
Description:

Bulk download of data files.

URLs

URL 1

CC ID: 748952
URL: https://coast.noaa.gov/
Name: NOAA's Office for Coastal Management (OCM) website
URL Type:
Online Resource
File Resource Format: HTML
Description:

Information on the NOAA Office for Coastal Management (OCM)

URL 2

CC ID: 748953
URL: https://coast.noaa.gov/digitalcoast/data/home.html
Name: NOAA's Office for Coastal Management (OCM) Digital Coast Data section
URL Type:
Online Resource
File Resource Format: HTML
Description:

The website provides not only coastal data, but also the tools, training, and information needed to make these data truly useful. Content comes from many sources, all of which are vetted by NOAA.

URL 3

CC ID: 748954
URL: https://coast.noaa.gov/dataviewer/#/
Name: NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
URL Type:
Online Resource
File Resource Format: HTML
Description:

The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer.

URL 4

CC ID: 748955
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/6331/supplemental/wa2016_west_wa_m6331.kmz
Name: Browse graphic
URL Type:
Browse Graphic
File Resource Format: KML
Description:

Link to data set footprint.

URL 5

CC ID: 748956
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/6331/supplemental/wa2016_west_wa_m6331_lidar_report.pdf
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to data set report.

URL 6

CC ID: 748957
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/6331/breaklines/
URL Type:
Online Resource
Description:

Hydro breaklines

URL 7

CC ID: 748958
URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6331
URL Type:
Online Resource
Description:

Link to custom download the lidar point data from which these raster Digital Elevation Model (DEM) data were created.

Technical Environment

Description:

RiProcess v1.7.2, Applanix PosPac 7.1 SP 3, Microstation Version 8, TerraScan Version 16, TerraModeler Version 16, TerraMatch Version 16, ESRI ArcGIS 10.2, Windows 7 Operating System

Data Quality

Vertical Positional Accuracy:

The specifications require that raw Non-vegetated Vertical Accuracy (NVA) be computed from the both the raw lidar point cloud swath files and the derived DEMs. Additionally, Vegetated Vertical Accuracy (VVA) is also to be computed from the derived DEMS. The NVA was tested with 182 independent check points located in open terrain, and distributed throughout the project as feasible. These check points were not used in the calibration or post processing of the lidar point cloud data. The VVA was tested with 115 independent check points located in vegetated terrain, also witheld from the calibration and post processing of the lidar point cloud data and distributed throughout the project area as feasible. Specifications for this project require that the NVA be 0.196 meters or better AccuracyZ at the 95% confidence level and that the VVA be 29.4 cm or better AccuracyZ at the 95th percentile.

0.080 meters AccuracyZ at the 95 percent Confidence Interval for Raw LAS NVA.

0.081 meters AccuracyZ at the 95 percent Confidence Interval for DEM NVA.

The 182 independent NVA check points were surveyed using the closed level loop technique. Elevations interpolated from the unclassified lidar surface were compared to the elevation values of the surveyed NVA check points. The RMSE was computed to be 0.041 meters resulting in an AccuracyZ at the 95% confidence level of 0.080 meters. The 182 NVA check points were also compared to the elevations of the derived bare earth DEMs. The RMSE was computed to be 0.042 meters resulting in an AccuracyZ of 0.081 meters at the 95% confidence level. NVA AccuracyZ has been tested and meets the required 0.196 meter NVA at 95% confidence level using (RMSEz * 1.9600) for both the raw lidar point cloud and derived DEMs, as defined by the National Standards for Spatial Data Accuracy (NSSDA) and herein reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines.

0.207 meters AccuracyZ at the 95th percentile for DEM VVA.

The 115 VVA check points were also surveyed using the closed level loop technique. Elevations for these points were compared to the elevations of the derived bare earth DEMs. The RMSE was computed to be 0.112 meters resulting in an AccuracyZ of 0.207 meters at the 95th percentile. AccuracyZ has been tested on the derived bare earth DEMs and meets the required 29.4 meter VVA using the 95th percentile of the absolute value of all vertical errors in all combined vegetation classes as defined by the National Standards for Spatial Data Accuracy (NSSDA); and herein reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines.

Completeness Report:

LAS files include all data points collected. No points have been removed or excluded. Shaded relief images have been visually inspected for data errors such as pits, border artifacts, and shifting. LiDAR flight lines have been examined to ensure consistent elevation values across overlapping flight lines. The raw point cloud is of good quality and data passes Vertical Accuracy specifications.

Conceptual Consistency:

LAS files were tested by QSI for both vertical and horizontal accuracy. All data is seamless from one tile to the next.

Lineage

Sources

Base Station Control

CC ID: 1290577
Publish Date: 2017-08-31
Extent Type: Discrete
Extent Start Date/Time: 2017-08-31
Source Contribution:

This data source was used (along with the airborne GPS/IMU data) to georeference the LiDAR point cloud data.

Ground Control Quality Check Points

CC ID: 1290578
Publish Date: 2017-08-31
Extent Type: Discrete
Extent Start Date/Time: 2017-08-31
Source Contribution:

This data source was used to assess the accuracy of LiDAR point cloud data.

LiDAR RAW Data

CC ID: 1290579
Publish Date: 2017-08-31
Extent Type: Range
Extent Start Date/Time: 2016-03-17
Extent End Date/Time: 2017-06-06
Source Contribution:

This data source was used to populate the LiDAR point cloud data.

Originator of Data

CC ID: 1290580
Publish Date: 2018-02-01

Smooth Best Estimate Trajectories

CC ID: 1290581
Publish Date: 2017-08-31
Extent Type: Discrete
Extent Start Date/Time: 2017-08-31
Source Contribution:

This data source was used (along with base station control data) to georeference the LiDAR point cloud data.

Supplemental Ground Control Points

CC ID: 1290582
Publish Date: 2017-08-31
Extent Type: Discrete
Extent Start Date/Time: 2017-08-31
Source Contribution:

This data source was used to refine lidar positional accuracy during the calibration process.

Process Steps

Process Step 1

CC ID: 1290583
Description:

LiDAR Pre-Processing:

1. Review flight lines and data to ensure complete coverage of the study area and positional accuracy of the laser points.

2. Resolve kinematic corrections for aircraft position data using kinematic aircraft GPS and static ground GPS data.

3. Develop a smoothed best estimate of trajectory (SBET) file that blends post-processed aircraft position with sensor head position and attitude recorded throughout the survey.

4. Calculate laser point position by associating SBET position to each laser point return time, scan angle, intensity, etc. Create raw laser point cloud data for the entire survey in *.las format. Convert data to orthometric elevations by applying a geoid03 correction.

5. Import raw laser points into manageable blocks (less than 500 MB) to perform manual relative accuracy calibration and filter erroneous points. Classify ground points for individual flight lines.

6. Using ground classified points per each flight line, test the relative accuracy. Perform automated line-to-line calibrations for system attitude parameters (pitch, roll, heading), mirror flex (scale) and GPS/IMU drift. Calculate calibrations on ground classified points from paired flight lines and apply results to all points in a flight line. Use every flight line for relative accuracy calibration.

7. Adjust the point cloud by comparing ground classified points to supplemental ground control points.

Process Date/Time: 2017-08-31 00:00:00

Process Step 2

CC ID: 1290584
Description:

LiDAR Post-Processing:

1. Classify data to ground and other client designated classifications using proprietary classification algorithms.

2. Manually QC data classification

3. After completion of classification and final QC approval, calculate NVA and VVA, and density information for the project using ground control quality check points.

Process Date/Time: 2017-08-31 00:00:00

Process Step 3

CC ID: 1290585
Description:

Hydroflattening Breaklines and Hydroflattened DEM creation: Water boundary polygons were developed using an algorithm which weights LiDAR-derived slopes, intensities, and return densities to detect the water's edge. The water's edge was then manually reviewed and edited as necessary. Elevations were assigned to the water’s edge through neighborhood statistics identifying the lowest LiDAR return from the water surface. Lakes were assigned a consistent elevation for an entire polygon while rivers were assigned consistent elevations on opposing banks and smoothed to ensure downstream flow through the entire river channel. These breaklines were incorporated into the hydro-flattened DEM by enforcing triangle edges (adjacent to the breakline) to the elevation values derived from the breakline. This implementation corrected interpolation along the hard edge. Breaklines were also used to classify all ground points within the identified water bodies to class 9 (water).

Process Date/Time: 2017-08-31 00:00:00

Process Step 4

CC ID: 1290586
Description:

The NOAA Office for Coastal Management (OCM) downloaded 793 WA_Western-North_2016 and WA_Western-South_2016 Digital Elevation Model (DEM) files from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/OPR/. The data were in WA State Plane South coordinates and NAVD88 (Geoid03) elevations in feet. The bare earth raster files were at a 3 ft grid spacing.

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

1. Converted the raster files from elevations in feet to meters using gdal_translate

2. Copied the files to https.

Process Date/Time: 2018-03-02 00:00:00
Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 52295
GUID: gov.noaa.nmfs.inport:52295
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2018-03-29 16:00+0000
Metadata Record Last Modified By: Kirk Waters
Metadata Record Last Modified: 2024-01-10 19:00+0000
Metadata Record Published: 2024-01-10
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