50179
2014 PSLC Lidar: City of Redmond
wa2014_pslc_redmond_m4735_metadata
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2014-12-08
In February 2014, Quantum Spatial (QSI) was contracted by the Puget Sound LiDAR Consortium (PSLC) to collect Light Detection and Ranging (LiDAR) data for the City of Redmond site in western Washington. Data were collected to aid PSLC in assessing the topographic and geophysical properties of the study area.
The accompany report discusses the delivered LiDAR data and documents contract specifications, data acquisition procedures, processing methods, and analysis of the final dataset including LiDAR accuracy and density.
This project covers the City of Redmond located in King County. The data was acquired in April 2014.
10823
A footprint of this data set may be viewed in Google Earth at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4735/supplemental/wa2014_pslc_redmond_m4735.kmz
A project report for this data set may be accessed at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4735/supplemental/wa2014_pslc_redmond_m4735_surveyreport.pdf
Theme
ISO 19115 Topic Category
elevation
Office for Coastal Management
Charleston
SC
Data Set
As Needed
las
LiDAR points in LAS 1.1 format
none
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.
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 inlocal, state, and tribal government.
Data Steward
2014-12-08
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
2014-12-08
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
2014-12-08
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
2014-12-08
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
-85.215673
-83.90863
34.576794
32.854996
Range
2014-04-07
2014-04-09
Yes
Unclassified
This data can be obtained on-line at the following URL:
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4735;
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. These data depict the heights at the time of the survey and are only accurate for that time.
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4735
Customized Download
Create custom data files by choosing data area, product type, map projection, file format, datum, etc.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4735/index.html
Bulk Download
Simple download of data files.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4735/supplemental/wa2014_pslc_redmond_m4735.kmz
Browse Graphic
Browse Graphic
kmz
This graphic shows the lidar coverage for the city of Redmond (King County) in Washington.
https://coast.noaa.gov
Online Resource
https://coast.noaa.gov/dataviewer
Online Resource
2016-05-23
Date that the source FGDC record was last modified.
2017-11-14
Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details.
2018-02-08
Partial upload of Positional Accuracy fields only.
2018-03-13
Partial upload to move data access links to Distribution Info.
The accuracy of the LiDAR data collection can be described in terms of absolute accuracy (the consistency of the data with external data sources) and relative accuracy (the consistency of the dataset with itself). See Appendix A in the report for further information on sources of error and operational measures used to improve relative accuracy.
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. Relative errors for the position must be less than 1.5 cm horizontal and 2.0 cm vertical in order to be accepted.; Quantitative Value: 0.02 meters, Test that produced the value: Value reported as RMSE in meters, not tested
Lidar accuracies were tested for vertical accuracy. Watershed Sciences collected 222 ground control points for use in verifying the vertical accuracy of the classified LiDAR data in King County, surrounding Redmond.; Quantitative Value: 0.019 meters, Test that produced the value: Value reported as RMSE in meters. FVA (RMSE x 1.96) reported as 0.037 m in open terrain
Complete
Absolute accuracy was assessed using Fundamental Vertical Accuracy (FVA) reporting designed to meet guidelines presented in the FGDC National Standard for Spatial Data Accuracy. FVA compares known RTK and PPK ground control point data collected on open, bare earth surfaces with level slope (+/- 20 degrees) to the triangulated ground surface generated by the LiDAR points. FVA 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 percent confidence interval (1.96 x RMSE).
The mean and standard deviation (sigma) of divergence of the ground surface model from ground survey 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 City of Redmond survey, 224 ground survey points were collected in total resulting in an average accuracy of 0.004 feet (0.001 meters) (Figure 7 in the lidar report).
1
1. 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: IPAS TC v.3.1 , Waypoint Inertial Explorer v.8.5
2. 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 geoid03 correction.
Software: ALS Post Processing Software v.2.75
3. 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: TerraScan v.14
4. 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: TerraMatch v.14
5. Classify resulting data to ground and other client designated ASPRS classifications (Table 7). Assess statistical absolute accuracy via direct comparisons of ground classified points to ground control survey data.
Software: TerraScan v.14, TerraModeler v.14
6. Generate bare earth models as triangulated surfaces. Generate highest hit models as a surface expression of all classified points. Export all surface models as ESRI GRIDs at a 3.0 foot pixel resolution.
Software: TerraScan v.14, TerraModeler v.14, ArcMap v. 10.1
7. Export intensity images as GeoTIFFs at a 1.5 foot pixel resolution.
Software: TerraScan v.14, TerraModeler v.14, ArcMap v. 10.1
2014-05-01T00:00:00
2
The NOAA Office for Coastal Management (OCM) received topographic file in LAZ format from the Puget Sound Lidar Consortium. The files contained lidar
elevation measurements and other acquisition/post processing attributes. The data were received in Washington State Plane North Zone 4601, NAD83 coordinates
and were vertically referenced to NAVD88 using the Geoid03 model, vertical units of the data were feet. OCM performed the following processing for data storage and Digital Coast provisioning purposes:
1. The LAS files were converted from orthometric (NAVD88) heights to ellipsoidal heights using Geoid03.
2. The LAS files were converted from a Projected Coordinate System (WA SP North) to a Geographic Coordinate system (GCS).
3. The topographic las files' vertical units were converted from feet to meters.
4. The topographic las files' horizontal units were converted from feet to decimal degrees.
2014-12-08T00:00:00
gov.noaa.nmfs.inport:50179
Anne Ball
2017-11-15T15:24:45
SysAdmin InPortAdmin
2022-08-09T17:11:39
2022-03-16
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16