50164
2011 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Rattlesnake
wa2011_pslc_rattlesnake_m2587_metadata
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
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
applications.
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.
10808
A footprint of this data set may be viewed in Google Earth at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2587/supplemental/wa2011_pslc_rattlesnake.kmz
A report explaining collection and quality assurance is available at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2587/supplemental/wa2011_pslc_rattlesnake.pdf
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:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2599/supplemental/wa2011_pslc_kittitas.pdf
Theme
ISO 19115 Topic Category
elevation
Theme
LAZ
Office for Coastal Management
Charleston
SC
Data Set
As Needed
las
LiDAR points in LAZ format (ASPRS Classes 1,2)
none
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.
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.
Data Steward
2013-11-23
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
2013-11-23
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
2013-11-23
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
2013-11-23
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
-119.8917772
-119.4011374
46.64934815
46.32284593
Discrete
2010-09-15
Discrete
2010-11-05
Discrete
2010-11-06
Discrete
2010-11-07
Discrete
2010-11-08
Discrete
2010-11-09
Discrete
2010-11-10
Discrete
2010-11-11
Discrete
2010-11-12
Discrete
2010-11-13
Yes
Unclassified
This data can be obtained on-line at the following URL:
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=2587
;
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=2587
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/geoid18/2587/index.html
Bulk Download
Simple download of data files.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2587/supplemental/wa2011_pslc_rattlesnake.kmz
Browse Graphic
Browse Graphic
kmz
This graphic shows the lidar coverage for the 2011 Rattlesnake area of Washington, collected
in 2010.
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.
Elevations are recorded in floating-point meters and the vertical datum is ellipsoidal (GEOID03).
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.
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.
LiDAR data has been collected and processed for all areas within the project study area.
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.
1
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
processing.
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
calibration).
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
2011-02-07T00:00:00
2
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.
2013-11-23T00:00:00
gov.noaa.nmfs.inport:50164
Anne Ball
2017-11-15T15:24:39
SysAdmin InPortAdmin
2022-08-09T17:11:38
2022-03-16
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16