Quantum Spatial
20151218
LiDAR data for Glacier Peak WA QL1 LiDAR Task Order
USGS Contract: G10PC00026 Task Order Number: G14PD00776
Glacier_Peak_WA_LiDAR_RAW_LAS
LiDAR point cloud
Geographic Extent: This dataset and derived products encompass a 100 meter buffer around an area of interest (AOI) consisting of approximately 490 total square miles of the Mount Baker National Forest in Washington. The AOI starts near Darrington, WA and continues to the southeast, ending at Clark Glacier. RAW flight line swaths were processed to create 1403 classified LAS 1.2 files delineated in 1000 x 1000 m tiles and named according to the USNG schema. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. Additional derived products include tiled hydro flattened bare earth DEMs and tiled intensity images.
USGS NGP Base Specification v1
Leica ALS70
7
0.5
4
0.354
8
1650
105
24
38.5
160-172
4
.31
1064
0
0.38
702
65
NAD_1983_UTM_Zone_10N_Meters
National Geodetic Survey (NGS) Geoid03
0.30 meters
0.094 meters
0.179 meters
0.094 meters
54
Bare Earth/Open Terrain
0.107 meters
Tall Weeds/Crops
0.237 meters
Brushlands and Trees
0.184 meters
Urban
0.05 meters
Forested and Fully Grown
0.170 meters
1.2
1
Class 7 represents witheld points.
Swath overage points were not identified in these files.
16
1
Unclassified
2
Bare-Earth Ground
7
Noise below ground
9
Water
10
Ignored Ground (Breakline Proximity)
17
Bridge Decks
Data was collected to aid the Cascade Volcanic Observatory in their study of the Glacier Peak area. The LiDAR point cloud data were used to create classified LiDAR LAS files, intensity images, and bare earth hydro-flattened DEMs.
Acquisition and all subsequent processing was completed by Quantum Spatial. In some areas of heavy vegetation or forest cover, there may be relatively few ground points in the LiDAR data. TINing the points produces large triangles and hence the elevations may be less accurate within such areas.
20141003
20141003
ground condition
None planned
-121.728325
-120.917632
48.398810
47.953912
594923.772200
654165.693300
5361422.313400
5313241.120900
None
Elevation data
LiDAR
Hydrology
Light Detection and Ranging
Topography
Bare Earth
Bare Earth Hydroflattened
DEM
Digital Elevation Model
Intensity
None
Glacier Peak
United States
Washington
Mount Baker National Forest
No restrictions apply to this data.
None. However, users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no Longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of it's limitations. Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data.
Quantum Spatial
Cathy Power
mailing and physical
517 SW 2nd St., Suite 400
Corvallis
OR
97333
USA
541-752-1204
cpower@quantumspatial.com
Monday through Friday 8:30 AM to 5:00 PM (Pacific Standard Time)
If unable to reach the contact by telephone, please send an email.
Waypoint Inertial Explorer v.8.5 ; Trimble Business Center v.3.00; Geographic Calculator 2013; IPAS TC v.3.1; ALS Post Processing Software v.2.74; TerraScan v.14.004; TerraMatch v.14.002; TerraModeler v.14.001; ArcMap v.10.1; Windows 7 Operating System
Data cover the entire area specified for this project. All data is seamless from one tile to the next.
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 Fundamental Vertical Accuracy specifications.
The vertical accuracy was tested with ground control quality check points located in open terrain upon completion of the acquisition. Specifications for this project require that the FVA be 18.13 cm or better AccuracyZ at 95 percent confidence level.
0.094 meters AccuracyZ at the 95 percent Confidence Interval
Accuracy was assessed using 54 ground survey RTK (real time kinematic) points.
Quantum Spatial
20150624
Base Station Control
vector digital and tabular data
Corvallis, OR
Quantum Spatial
hard drive
20150624
publication date
Glacier_Peak_Base_Station_Control
This data source was used (along with the airborne GPS/IMU data) to georeference the LiDAR point cloud data.
Quantum Spatial
20150624
Supplemental Ground Control Points
vector digital and tabular data
Corvallis, OR
Quantum Spatial
hard drive
20150624
publication date
Glacier_Peak_Supplemental_Ground_Control_Points
This data source was used to refine airborne GPS positional accuracy during the calibration process.
Quantum Spatial
20150624
LiDAR RAW Data for Glacier_Peak_WA_LiDAR
LiDAR data
Corvallis
20150624
hard drive
20140825
20150624
ground condition
Glacier_Peak_RAW_LiDAR
This data source was used to populate the LiDAR point cloud data.
Quantum Spatial
20150624
Glacier_Peak_Quality_Control_Points
LiDAR data
Corvallis
20150624
hard drive
20150624
publication date
Glacier_Peak_Quality_Control_Points
This data source was used to assess the overall LiDAR point cloud data.
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 geoid12a 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.
Glacier_Peak_Base_Station_Control, Glacier_Peak_Supplemental_Ground_Control_Points, Glacier_Peak_RAW_LiDAR
20150624
Quantum Spatial
mailing and physical
517 SW 2nd Street, Suite 400
Corvallis
OR
97333
USA
541-752-1204
541-752-3770
Monday through Friday 8:30 AM to 5:00 PM (Pacific Standard Time)
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 FVA, SVAs, CVA, and density information for the project using ground control quality check points.
Glacier_Peak_Quality_Control_Points
2015
Glacier_Peak_WA_LiDAR
Quantum Spatial
mailing and physical
517 SW 2nd Street, Suite 400
Corvallis
OR
97333
USA
541-752-1204
541-752-3770
Monday through Friday 8:30 AM to 5:00 PM (Pacific Standard Time)
Vector
Point
Universal Transverse Mercator
10
0.9996
-123.000000
0.0
500000
0.0
coordinate pair
0.01
0.01
meters
GCS NAD 1983
NAD 1983
6378137.0
298.257223563
North American Vertical Datum of 1988
0.01
meters
Explicit elevation coordinate included with horizontal coordinates
20151218
20151218
Quantum Spatial
mailing and physical
517 SW 2nd Street, Suite 400
Corvallis
OR
97333
USA
541-752-1204
541-752-3770
Monday through Friday 8:30 AM to 5:00 PM (Pacific Standard Time)
If unable to reach the contact by telephone, please send an email.
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
None
None
None
Unclassified
None
None
None