67791
2015 USGS Lidar DEM: Mt. Baker, WA
Data Set
Published / External
49404
DEMs - partner (no harvest)
Project
Completed
2022
No metadata record was provided with the data. This record is populated with information from the Quantum Spatial, Inc. (QSI) technical report downloaded from the Washington Dept. of Natural Resources Washington Lidar Portal. The technical report is available for download from the link provided in the URL section of this metadata record.
In August 2015, Quantum Spatial (QSI) was contracted by the United States Geological Survey (USGS) to collect Quality Level 1 (8ppsm) Light Detection and Ranging (LiDAR) data in the fall of 2015 for the Mt. Baker site in Whatcom County, Washington. Mount Baker is the third highest peak in the state of Washington and is the second most thermally active mountain in the Cascade Range, surpassed only by Mt. Saint Helens. Data were collected to aid USGS in assessing the topographic and geophysical properties of the study area to support increased seismic monitoring and volcanic hazard assessment to neighboring communities and infrastructure.
Data were collected to aid USGS in assessing the topographic and geophysical properties of the study area to support increased seismic monitoring and volcanic hazard assessment to neighboring communities and infrastructure.
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM)
Theme
ISO 19115 Topic Category
elevation
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > WASHINGTON
Spatial
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
Instrument
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging
Platform
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane
Office for Coastal Management
Charleston
SC
Data Set
Elevation
None Planned
Model (digital)
Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners.
Quantum Spatial, Inc., USGS, Washington Dept. of Natural Resources
Data Steward
2022
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2022
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Metadata Contact
2022
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Point of Contact
2022
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Ground Condition
-122.008733
-121.59796
48.914427
48.61497
Range
2015-08-26
2015-09-27
Yes
Vertical
EPSG:6360
NAVD88 height (ftUS)
North American Vertical Datum 1988
1
Gravity-related height
H
US survey foot
up
Projected
EPSG:2927
NAD83(HARN) / Washington South (ftUS)
NAD83 (High Accuracy Reference Network)
GRS 1980
6378137
298.257222101
NAD83(HARN)
SPCS83 Washington South zone (US Survey feet)
Lambert Conic Conformal (2SP)
1
Easting
X
US survey foot
east
2
Northing
Y
US survey foot
north
Unclassified
Data is available online for bulk and custom downloads.
None
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.
2021-07-15
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9575/details/9575
2022
Organization
NOAA Office for Coastal Management
Customized Download
Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.
Zip
Zip
2021-07-15
https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/WA_Baker_DEM_2015_9575/index.html
2022
Organization
NOAA Office for Coastal Management
Bulk Download
Bulk download of data files in GeoTiff format, WA State Plane South NAD83(HARN) US survey feet coordinates and orthometric heights in feet.
GeoTIFF
GeoTIFF
https://coast.noaa.gov/dataviewer/
NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
Online Resource
HTML
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.
https://lidarportal.dnr.wa.gov/download?ids=665
Lidar Report
Online Resource
pdf
Link to the Quantum Spatial, Inc. Technical Lidar Report from the Washington Lidar Portal.
Non-vegetated Vertical Accuracy (NVA) was assessed according to guidelines presented in the USGS LiDAR Base Specifications Version 1.2, November 2014. NVA compares known ground check point data collected on open, bare earth surfaces with level slope (less than 20 degrees) to the raw LiDAR point cloud and to the digital elevation model (DEM). NVA is a measure of the accuracy of LiDAR point data in open areas where the LiDAR system has a high probability of measuring the ground surface and is evaluated at the 95% confidence interval (1.96 * RMSE). Specifications for this project require that the NVA be 19.6 cm or better AccuracyZ (1.96*RMSE) at a 95 percent confidence level.
The mean and standard deviation (sigma) of divergence of the ground surface model from ground check point coordinates are also considered during accuracy assessment. These statistics assume the error for x, y and z is normally distributed, and therefore the skew and kurtosis of distributions are also considered when evaluating error statistics. For the Mt. Baker, 94 ground check points were withheld in total resulting in a non-vegetated vertical accuracy of 0.036 meters RMSE computed from the raw LiDAR point cloud and 0.041 meters RMSE computed from the DEM.
QSI also assessed vertical accuracy using Vegetated Vertical Accuracy (VVA) reporting. VVA compares known ground check point data within all vegetated land cover class categories to the digital elevation model (DEM) created from the ground classified LiDAR points. VVA is evaluated at the 95th percentile, and is 0.123 meters.
Yes
Unknown
Yes
NCEI-CO
Data is backed up to tape and to cloud storage.
The NOAA Office for Coastal Management (OCM) downloaded the GeoTiff files from the Washington Lidar Portal.
Washington Dept of Natural Resources
Organization
Washington Dept of Natural Resources
Originator
https://lidarportal.dnr.wa.gov/
Washington Lidar Portal
1
Planning:
In preparation for data collection, QSI reviewed the project area and developed a specialized flight plan to ensure complete coverage of the QL1 Mt. Baker LiDAR study area at the target point density of greater than or equal to 8.0 points/m2. Acquisition parameters including orientation relative to terrain, flight altitude, pulse rate, scan angle, and ground speed were adapted to optimize flight paths and flight times while meeting all contract specifications.
Factors such as satellite constellation availability and weather windows must be considered during the planning stage. Any weather hazards or conditions affecting the flights were continuously monitored due to their potential impact on the daily success of airborne and ground operations. In addition, logistical considerations including private property access and potential air space restrictions were reviewed.
2
Ground Survey Points
Ground survey points were collected using real time kinematic, post-processed kinematic (PPK), and fast-static (FS) survey techniques. A Trimble R7 and Trimble R10 base unit was positioned at a nearby monument to broadcast a kinematic correction to a roving Trimble R8 and Trimble R10 GNSS receiver. All GSP measurements were made during periods with a Position Dilution of Precision (PDOP) of less than or equal to 3.0 with at least six satellites in view of the stationary and roving receivers. When collecting RTK and PPK data, the rover records data while stationary for five seconds, then calculates the pseudorange position using at least three one-second epochs. FS surveys record observations for up to fifteen minutes on each GSP in order to support longer baselines for post-processing. Relative errors for any GSP position must be less than 1.5 cm horizontal and 2.0 cm vertical in order to be accepted.
GSPs were collected in areas where good satellite visibility was achieved on paved roads and other hard surfaces such as gravel or packed dirt roads. GSP measurements were not taken on highly reflective surfaces such as center line stripes or lane markings on roads due to the increased noise seen in the laser returns over these surfaces. GSPs were collected within as many flightlines as possible; however the distribution of GSPs depended on ground access constraints and monument locations and may not be equitably distributed throughout the study area.
Monumentation
The spatial configuration of ground survey monuments provided redundant control within 13 nautical miles of the mission areas for LiDAR flights. Monuments were also used for collection of ground survey points using real time kinematic (RTK), post processed kinematic (PPK), and fast-static (FS) survey techniques.
Monument locations were selected with consideration for satellite visibility, field crew safety, and optimal location for GSP coverage. QSI utilized four existing monuments and established six new monuments for the Mt. Baker LiDAR project. New monumentation was set using 5/8 inch x 30 inch rebar topped with stamped 2 1/2 inch aluminum caps. QSI's professional land surveyor, Christopher Glantz (WA PLS #48755) oversaw and certified the establishment of all monuments.
To correct the continuously recorded onboard measurements of the aircraft position, QSI concurrently conducted multiple static Global Navigation Satellite System (GNSS) ground surveys (1 Hz recording frequency) over each monument. During post-processing, the static GPS data were triangulated with nearby Continuously Operating Reference Stations (CORS) using the Online Positioning User Service (OPUS1) for precise positioning. Multiple independent sessions over the same monument were processed to confirm antenna height measurements and to refine position accuracy.
Monuments were established according to the national standard for geodetic control networks, as specified in the Federal Geographic Data Committee (FGDC) Geospatial Positioning Accuracy Standards for geodetic networks.2 This standard provides guidelines for classification of monument quality at the 95% confidence interval as a basis for comparing the quality of one control network to another.
For the Mt. Baker LiDAR project, the monument coordinates contributed no more than 5.4 cm of positional error to the geolocation of the final ground survey points and LiDAR, with 95% confidence.
3
Airborne Survey
The LiDAR survey was accomplished using a Leica ALS80 system mounted in a Cessna Caravan 208B. The settings werer used to yield an average pulse density of greater than or equal to 8 pulses/m2 over the Mt. Baker project area. The Leica ALS80 laser system can record unlimited range measurements (returns) per pulse. It is not uncommon for some types of surfaces (e.g., dense vegetation or water) to return fewer pulses to the LiDAR sensor than the laser originally emitted. The discrepancy between first return and overall delivered density will vary depending on terrain, land cover, and the prevalence of water bodies. All discernible laser returns were processed for the output dataset.
All areas were surveyed with an opposing flight line side-lap of greater than or equal to 50 percent (greater than or equal to 100 percent overlap) in order to reduce laser shadowing and increase surface laser painting. To accurately solve for laser point position (geographic coordinates x, y and z), the positional coordinates of the airborne sensor and the attitude of the aircraft were recorded continuously throughout the LiDAR data collection mission. Position of the aircraft was measured twice per second (2 Hz) by an onboard differential GPS unit, and 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 and sensor position and attitude data are indexed by GPS time.
4
Upon completion of data acquisition, QSI processing staff initiated a suite of automated and manual techniques to process the data into the requested deliverables. Processing tasks included GPS control computations, smoothed best estimate trajectory (SBET) calculations, kinematic corrections, calculation of laser point position, sensor and data calibration for optimal relative and absolute accuracy, and LiDAR point classification. Processing methodologies were tailored for the landscape. Brief descriptions of these tasks are shown below.
Lidar Processing Steps
Resolve kinematic corrections for aircraft position data using kinematic aircraft GPS and static ground GPS data. 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. Software used - Waypoint Inertial Explorer v.8.6
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 (ASPRS v. 1.2) format. Convert data to orthometric elevations by applying a geoid 03 correction. Software used - Waypoint Inertial Explorer v.8.6, Leica Cloudpro v. 1.2.2
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.. Software used - TerraScan v.15
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. Software used - TerraMatch v.15
Classify resulting data to ground and other client designated ASPRS classifications (Table 8). Assess statistical absolute accuracy via direct comparisons of ground classified points to ground control survey data. Software used - TerraScan v.15, TerraModeler v.15
Generate bare earth models as triangulated surfaces. Generate highest hit models as a surface expression of all classified points. Export all surface models in EDRAS Imagine (.img) format at a 1 meter pixel resolution. Software used - TerraScan v.15, TerraModeler v.15, ArcMap v. 10.1
5
The NOAA Office for Coastal Management (OCM) downloaded 14 raster DEM files in GeoTiff format from the Washington Lidar Portal. The data were in Washington State Plane South NAD83(HARN), US survey feet coordinates and NAVD88 (Geoid03) elevations in feet. The bare earth raster files were at a 3 feet grid spacing. No metadata record was provided with the data. This record is populated with information from the Quantum Spatial, Inc. technical report downloaded from the Washington Dept. of Natural Resources Washington Lidar Portal.
OCM performed the following processing on the data for Digital Coast storage and provisioning purposes:
1. Used internal an script to assign the EPSG codes (Horizontal EPSG: 2927 and Vertical EPSG: 6360) to the GeoTiff formatted files.
2. Copied the files to https.
2022-08-30T00:00:00
Organization
Office for Coastal Management
OCM
2234 South Hobson Avenue
Charleston
SC
29405-2413
https://www.coast.noaa.gov/
gov.noaa.nmfs.inport:67791
Rebecca Mataosky
2022-08-30T17:16:19
Kirk Waters
2024-01-10T19:27:01
2024-01-10
OCM Partners
OCMP
1002
Public
No
2022-08-30
1 Year
2023-08-30