gov.noaa.nmfs.inport:50151
eng
UTF8
dataset
OCM Partners
resourceProvider
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
pointOfContact
2024-02-29T00:00:00
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
ISO 19115-2:2009(E)
2005 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Yakima County
wa2005_pslc_yakima_m2585_metadata
2013-11-14
publication
NOAA/NMFS/EDM
50151
https://www.fisheries.noaa.gov/inport/item/50151
WWW:LINK-1.0-http--link
Full Metadata Record
View the complete metadata record on InPort for more information about this dataset.
information
https://coast.noaa.gov/dataviewer
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Citation URL
Online Resource
download
https://coast.noaa.gov
WWW:LINK-1.0-http--link
Citation URL
Online Resource
download
Terrapoint collected Light Detection and Ranging (LiDAR) data to complete the 2005 project for Yakima County. This project has partial coverage of Yakima County, totaling 4757 sq km in southern Washington.
The Airborne LiDAR survey was conducted using Terrapoint's 40 kHz ALTMS (Airborne Laser Terrain Mapping System), flying at an optimum height of 3500 ft AGL at 140 knots. The system consists of a 36-degree full angle laser, a Trimble 4700 GPS receiver and a Honeywell H764 IMU unit. This metadata is a collaboration of ancillary reports.
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.
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.
completed
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
pointOfContact
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
custodian
asNeeded
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2585/supplemental/wa2005_pslc_yakima.KMZ
This graphic shows the lidar coverage for the 2005 lidar project of Yakima County, Washington.
kmz
LAZ
theme
Lidar - partner (no harvest)
project
InPort
otherRestrictions
Cite As: OCM Partners, [Date of Access]: 2005 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Yakima County [Data Date Range], https://www.fisheries.noaa.gov/inport/item/50151.
NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose.
otherRestrictions
Access Constraints: None
otherRestrictions
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. These data depict the heights at the time of the survey and are only accurate for that time.
otherRestrictions
Distribution Liability: 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.
unclassified
NOAA Data Management Plan (DMP)
NOAA/NMFS/EDM
50151
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/50151.pdf
WWW:LINK-1.0-http--link
NOAA Data Management Plan (DMP)
NOAA Data Management Plan for this record on InPort.
information
crossReference
vector
eng; US
elevation
-120.95789169
-120.08245047
46.08705774
46.72436888
| Currentness: Ground Condition
2005-03-25
2005-03-28
A footprint of this data set may be viewed in Google Earth at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2585/supplemental/wa2005_pslc_yakima.KMZ
false
eng
false
none
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
distributor
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=2585
WWW:LINK-1.0-http--link
Customized Download
Create custom data files by choosing data area, product type, map projection, file format, datum, etc.
download
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2585/index.html
WWW:LINK-1.0-http--link
Bulk Download
Simple download of data files.
download
dataset
Accuracy
Elevations are recorded in floating-point meters and the vertical datum is ellipsoidal (GEOID03). There are no other attribute tables.
Horizontal Positional Accuracy
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: 0.60 meters, Test that produced the value:
Reporting highest reported values with uncertainty of likelihood of less than 0.60 m horizontal accuracy
values. 20 - 60 centimeters on all but extremely hilly terrain.
Vertical Positional Accuracy
Laser point returns were optimized for internal consistency based on independent data from the LiDAR system, IMU, and aircraft. Noise points (e.g. pits and birds) were filtered from the data based on known elevation ranges.; Quantitative Value: 0.15 meters, Test that produced the value: There is no survey report from the vendor for this acquisition. We did an internal review of the data using ground control points provided by the county, from that evaluation the vertical RMSE was 15 cm, which was well within the specifications for this project. We do not report horizontal accuracy.
Completeness Report
LiDAR data has been collected and processed for all areas within the project study area.
Conceptual Consistency
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. The data was examined at a 1:3500 scale.
Point Generation.
The points are generated as Terrascan binary Format using Terrapoint's proprietary Laser Postprocessor Software. This software combines the Raw Laser file and GPS/IMU information to generate a point cloud for each individual flight. All the point cloud files encompassing the project area were then divided into quarter quad tiles. The referencing system of these tiles is based upon the project boundary minimum and maximums. This process is carried out in Terrascan.
The bald earth is subsequently extracted from the raw LiDAR points using Terrascan in a Microstation environment. The automated vegetation removal process takes place by building an iterative surface model. This surface model is generated using three main parameters: Building size, Iteration angle and Iteration distance.
The initial model is based upon low points selected by a roaming window and are assumed to be ground points. The size of this roaming window is determined by the building size parameter. These low points are triangulated and the remaining points are evaluated and subsequently added to the model if they meet the Iteration angle and distance constraints (fig. 1). This process is repeated until no additional points are added within an iteration.
There is also a maximum terrain angle constraint that determines the maximum terrain angle allowed within the model.
Multiple process dates.
Processing.
1. Flight lines and data were reviewed to ensure complete coverage of the study area and positional accuracy of the laser points.
2. Laser point return coordinates were computed using the REALM survey suite and PosPac based on independent data from the LiDAR system, IMU, and aircraft.
3. The raw LiDAR file was assembled into flight lines per return with each point having an associated x, y, and z coordinate.
4. Visual inspection of swath to swath laser point consistencies within the study area were used to perform manual refinements of system alignment.
5. Custom algorithms were designed to evaluate points between adjacent flight lines. Automated system alignment was computed based upon randomly selected swath to swath accuracy measurements that
consider elevation, slope, and intensities. Specifically, refinement in the combination of system pitch, roll and yaw offset parameters optimize internal consistency.
6. Noise (e.g., pits and birds) was filtered using REALM software tools based on known elevation ranges and included the removal of any cycle slips.
7. Using TerraScan and Microstation, ground classifications utilized custom settings appropriate to the study area.
8. The corrected and filtered return points were compared to the RTK ground survey points collected to verify the vertical and horizontal accuracies.
9. Points were broken into processing bins and output areas and output as laser points, TINed and GRIDed surfaces. Bare earth DEMs meet PSLC specifications.
The NOAA Office for Coastal Management (OCM) downloaded topographic files in .txt format from PSLC's website. The files contained lidar 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 txt files were parsed to convert GPS Week Time to Adjusted Standard GPS Time.
2. The All-Return ASCII files were converted from txt format to las format using LASTools' txt2las tool and reclassified to fit the OCM class list, N=1, G=2.
3. The las files were converted from orthometric (NAVD88) heights to ellipsoidal heights using Geoid03.
4. The las files' vertical units were converted from feet to meters.
5. The las files were converted from a Projected Coordinate System (WA SP South) to a Geographic Coordinate system (NAD83)
6. The las files' horizontal units were converted from feet to decimal degrees and converted to laz format.
2013-10-01T00:00:00