50168 wa2012_pslc_quinaultriver_m2508_metadata Data Set Published / External 49401 Lidar - partner (no harvest) Project Completed 2013-06-13 Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (LiDAR) data on the Quinault watershed survey area for the Puget Sound LiDAR Consortium. This data set covers approximately 181 square miles. Due to spring snow on the ground WSI was unable to acquire data for the complete survey during the initial flights in April and will return to finish acquisition at a later date. Delivery 1 of the survey area was collected on March 24th and 25th and April 8th and 9th and 22nd. The LiDAR survey utilized both a Leica ALS60 and a Leica ALS50-II sensor in a Cessna Caravan 208B.All areas were surveyed with an opposing flight line side-lap of =60% (=100% overlap) to reduce laser shadowing and increase surface laser painting. The Leica laser systems allow up to four range measurements (returns) per pulse, and all discernible laser returns were processed for the output dataset. This LiDAR survey achieved a nominal point spacing of 9.23 points per square meter. 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. 10812 A footprint of this data set may be viewed in Google Earth at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2508/supplemental/wa2012_pslc_quinault_footprint.KMZ A LiDAR Report from the vendor for this data set may be viewed here: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2508/supplemental/wa2012_pslc_quinault_lidarreport.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 none Any conclusions drawn from the analysis of this information are not the responsibility of Watershed Sciences Inc., PSLC, NOAA, the Office for Coastal Management or its partners. Please credit the Puget Sound LiDAR Consortium (PSLC). 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 2013-06-13 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 2013-06-13 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 2013-06-13 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 2013-06-13 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 -124.498098 -124.117126 47.353326 47.244463 Range 2012-04-14 2012-04-21 Yes Unclassified This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=2508 ; 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=2508 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/geoid18/2508/index.html Bulk Download Simple download of data files. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2508/supplemental/wa2012_pslc_quinault_footprint.KMZ Browse Graphic Browse Graphic kmz This graphic shows the LiDAR coverage for a section of Jefferson County, Washington. https://coast.noaa.gov Online Resource https://coast.noaa.gov/dataviewer Online Resource 2017-04-04 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). There are no other attribute tables. Not applicable for pure elevation data: every XY error has an associated Z error. Relative accuracy refers to the internal consistency of the data set - the ability to place a laser point in the same location over multiple flight lines, GPS conditions, and aircraft attitudes. Affected by system attitude offsets, scale, and GPS/IMU drift, internal consistency is measured as the divergence between points from different flight lines within an overlapping area. Several Relative Accuracy Calibration Methods were used including Manual System Calibration, Automated Attitude Calibration, and Automated Z Calibration. A detailed explanation of each is provided in the LiDAR Report listed above. Absolute accuracy is largely a function of laser noise and relative accuracy. To minimize these contributions 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 Quinault River watershed survey area a total of 1,212 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. A detailed explanation of steps takes to increase Absolute Accuracy are provided in the LiDAR Report listed above. The root mean square error (RMSE) for vertical accuracy is 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. Statements of statistical accuracy apply to fixed terrestrial surfaces only and may not be applied to areas of dense vegetation or steep terrain. ; Quantitative Value: 0.026 meters, Test that produced the value: Root mean square Z error in open, near-horizontal areas, as specified by contract. Units in meters. Accuracy may be significantly less in steep areas and under heavy forest canopy. Elevation data has been collected for all areas inside project boundaries. The data set was flown with a 60% sidelap between flightlines and a 100 meter buffer to ensure all areas are properly sampled. Puget Sound LiDAR Consortium evaluates logical consistency of high-resolution liDAR elevation data with three tests: examination of file names, file formats, and mean and extreme values within each file; internal consistency of measured Z values in areas where survey swaths overlap; and visual inspection of shaded-relief images calculated from bare-earth models. File names, formats, and values: All file naming convention and file formats are checked for consistency. Visual inspection of bare earth surfaces were examined to find any obvious data errors such as blunders, border artifacts, gaps between data quads, no-data gaps between flight lines, hillscarps, land shifting due to GPS time errors, etc. 1 1. Resolved kinematic corrections for aircraft position data using kinematic aircraft GPS and static ground GPS data. Software: Waypoint GPS v.8.10, Trimble Business Center 2.6 2. Developed a smoothed best estimate of trajectory (SBET) file that blends post-processed 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: IPAS TC v.3.1 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. Data were then converted to orthometric elevations (NAVD88) by applying a Geoid03 correction. Software: ALS Post Processing Software v.2.74, Corpscon 6 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: TerraScan v.12.004 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: TerraMatch v.12.001 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. Software: TerraScan v.12.004, TerraModeler v.12.002 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: TerraScan v.12.004, ArcMap v.10.0, TerraModeler v.12.002 8. Intensity images were created as Geo TIFFs and mosaicked to the final delineation. Software: TerraScan v.12.004, ArcMap v.10.0, TerraModeler v.12.002 2012-01-01T00:00:00 2 The NOAA Office for Coastal Management (OCM) downloaded topographic files in .LAZ format from PSLC's website. The files contained LiDAR elevation and intensity 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 topographic las files were converted from orthometric (NAVD88) heights to ellipsoidal heights using Geoid03. 2. The topographic las files were converted from a Projected Coordinate System (WA SP South) to a Geographic Coordinate system (NAD83). 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. 2013-06-01T00:00:00 gov.noaa.nmfs.inport:50168 Anne Ball 2017-11-15T15:24:41 SysAdmin InPortAdmin 2022-08-09T17:11:38 2022-03-16 OCM Partners OCMP 1002 Public No No 2022-03-16 1 Year 2023-03-16