74118 wa2023_chehalis_m10236_metadata Data Set Published / External 49401 Lidar - partner (no harvest) Project Completed 2023 2024-04-26 Original Product: Classified LAS 1.4 files, formatted to 248 individual 1000m x 1000m tiles covering the Chehalis River Topobathy project area. Original Dataset Geographic Extent: This dataset and derived products encompass an area covering approximately 10,642 acres of Central Cascades in Washington. Original Dataset Description: The Chehalis River Topobathy Lidar project called for the planning, acquisition, and processing of topobathy Lidar data collected to Quality Level 1 (QL1) standards for NIR, Quality Level 2b (QL2b) standards for green. Project specifications are based on the U.S. Geological Survey National Geospatial Program Lidar Base Specification Version 2022, Revision A. The data was developed based on the NAD83 2011 horizontal datum and the NAVD88 Geoid 18 vertical datum. Data was projected in UTM Zone 10. Lidar data was delivered as calibrated and classified LAS 1.4 files. Non-Vegetated Vertical Accuracy (NVA) was assessed using 23 check points located on bare earth in clear, unobstructed areas. Submerged Topography accuracy was assessed using 283 check points collected as feasible in depths up to 1m. Vegetated Vertical Accuracy (VVA) was assessed using 9 check points in Tall Grass, Forest, and Shrub landcover types. Single swath nominal pulse spacing (NPS) was designed to be 0.35 meters at nadir. Aggregate Nominal Pulse Spacing (ANPS) was calculated to be 0.19 meters using all valid first return points. Derived products include: Intensity Imagery, Topbathymetric Digital Elevation Models (DEMs), Maximum Surface Height Rasters (DSMs), 3D water's edge breaklines, and a bathymetric void shape. Original Dataset Ground Condition: Ground condition was free of snow and acquisition occurred free of smoke, fog and cloud cover. This metadata supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). The NOAA Office for Coastal Management (OCM) downloaded the laz files from the USGS rockyweb site and processed the data to make it available for bulk and custom downloads from the NOAA Digital Coast Data Access Viewer (DAV). The purpose of the lidar data was to produce a high accuracy 3D dataset that meets all necessary standards laid out by the 3D Elevation Program and the Chehalis River Topobathy contract. The lidar point cloud data were used to create classified lidar LAS files, intensity images, void interpolated topobathymetric DEMs, void clipped topobathymetric DEMs, highest hit DSMs, 3D breaklines of rivers and lakes within the study area, and a bathymetric void shape. USGS Contract No. 140G0221D0012 CONTRACTOR: NV5 Ground Control Points were acquired and calibrated by NV5. All lidar data acquisition, calibration, and follow-on processing were completed by NV5. The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : "U.S. Geological Survey National Geospatial Program Lidar Base Specification Version 2022, Revision A", "ldrsens" : "Leica Chiroptera 5 (NIR)", "ldrmaxnr" : "7", "ldrnps" : "0.35", "ldrdens" : "8", "ldranps" : "0.19", "ldradens" : "28.99", "ldrfltht" : "500-600", "ldrfltsp" : "130-145", "ldrscana" : "40", "ldrscanr" : "Continuous Multipulse", "ldrpulsr" : "220-250", "ldrpulsd" : "2.5", "ldrpulsw" : "25-30", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.5", "ldrswatw" : "364-437", "ldrswato" : "60", "ldrgeoid" : "Geoid 18" }, "ldrinfo" : { "ldrspec" : "U.S. Geological Survey National Geospatial Program Lidar Base Specification Version 2022, Revision A", "ldrsens" : "Leica Chiroptera 5 (GRN)", "ldrmaxnr" : "15", "ldrnps" : "0.35", "ldrdens" : "8", "ldranps" : "0.19", "ldradens" : "28.99", "ldrfltht" : "500-600", "ldrfltsp" : "130-145", "ldrscana" : "40", "ldrscanr" : "Continuous Multipulse", "ldrpulsr" : "50", "ldrpulsd" : "2.5", "ldrpulsw" : "228-285", "ldrwavel" : "515", "ldrmpia" : "1", "ldrbmdiv" : "4.75", "ldrswatw" : "364-437", "ldrswato" : "60", "ldrgeoid" : "Geoid 18" }, "ldraccur" : { "ldrchacc" : "0", "rawnva" : "0", "rawnvan" : "0" }, "lasinfo" : { "lasver" : "1.4", "lasprf" : "6", "laswheld" : "Withheld (ignore) points are identified in these files using the standard LAS Withheld bit.", "lasolap" : "Swath "overage" points were identified in these files using the standard LAS overlap bit.", "lasintr" : "16", "lasclass" : { "clascode" : "0W", "clasitem" : "Unrefracted GRN" }, "lasclass" : { "clascode" : "1", "clasitem" : "Processed, but Unclassified" }, "lasclass" : { "clascode" : "1W", "clasitem" : "Edge clip" }, "lasclass" : { "clascode" : "2", "clasitem" : "Bare earth ground" }, "lasclass" : { "clascode" : "7W", "clasitem" : "Low Noise" }, "lasclass" : { "clascode" : "9", "clasitem" : "Water" }, "lasclass" : { "clascode" : "17", "clasitem" : "Bridge Decks" }, "lasclass" : { "clascode" : "18W", "clasitem" : "High Noise" }, "lasclass" : { "clascode" : "20", "clasitem" : "Ignored Ground Near Breaklines" }, "lasclass" : { "clascode" : "40", "clasitem" : "Submerged Topography" }, "lasclass" : { "clascode" : "41", "clasitem" : "Water Surface" }, "lasclass" : { "clascode" : "42S", "clasitem" : "Synthetic Water Surface" }, "lasclass" : { "clascode" : "45", "clasitem" : "Water Column" } }} Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > WASHINGTON Spatial Global Change Master Directory (GCMD) Location Keywords VERTICAL LOCATION > LAND SURFACE Instrument Global Change Master Directory (GCMD) Instrument Keywords LIDAR > Light Detection and Ranging Platform Global Change Master Directory (GCMD) Platform Keywords Airplane > Airplane Office for Coastal Management Charleston SC Data Set Elevation None Planned Model (digital) Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners. Acknowledgment of the U.S. Geological Survey would be appreciated for products derived from these data. Data Steward 2024 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 2024 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 2024 Organization U.S. Geological Survey 12201 Sunrise Valley Drive Reston VA 20191 USA https://usgs.gov USGS Home Home page for USGS Online Resource Metadata Contact 2024 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 2024 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 -123.504116 -122.539592 46.688689 46.390159 Range 2023-08-21 2023-08-23 Range 2023-08-25 2023-08-27 Discrete 2023-09-01 No Yes No No No Yes 1025586051 Geographic 3D EPSG:6319 NAD83(2011) NAD83 (National Spatial Reference System 2011) GRS 1980 6378137 298.257222101 1 Geodetic Latitude Lat degree north 2 Geodetic Longitude Lon degree east 3 Elipsoidal height h metre up Custom Unclassified Data is available online for bulk and custom downloads. 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. https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10236/details/10236 2024 Organization NOAA Office for Coastal Management Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options. Not Applicable Zip https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/WA_ChehalisRiverTB_D23/WA_ChehalisRiverTB_Topobathy_1_D23/LAZ/ 2024 Organization U.S. Geological Survey Bulk Download Bulk download of data files in LAZ format, UTM Zone 10N NAD83(2011), meters coordinates and NAVD88 (Geoid18) elevations in meters. LAS/LAZ - LASer LAZ https://coast.noaa.gov/dataviewer/ NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) Online Resource HTML The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer. https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/WA_ChehalisRiverTB_D23/USGS_WA_ChehalisRiverTB_D23_Project_Report.pdf USGS Project Report Online Resource pdf This USGS report provides the project information, vertical accuracy results, list of classifications, sensor used, and work unit information. https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/WA_ChehalisRiverTB_D23/WA_ChehalisRiverTB_Topobathy_1_D23/reports/WA_Chehalis_River_B23_Topobathymetric_Lidar_Report.pdf Lidar Report Online Resource pdf Link to the lidar report. https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/WA_ChehalisRiverTB_D23/ USGS Additional Info Online Resource Link to the additional information available for this data set from the USGS. This information includes reports, breaklines, and tile index shapefiles. LiDAR Mapping Suite 2.4, Applanix PosPac 7.1, Microstation CONNECT version, TerraScan Version 20, TerraModeler Version 20, TerraMatch Version 20, ESRI ArcGIS 10.3, Windows 10 Operating System Lidar horizontal accuracy is a function of Global Navigation Satellite System (GNSS) derived positional error, flying altitude, and inertial navigation system (INS) derived attitude error. The obtained RMSEr value is multiplied by a conversion factor of 1.7308 to yield the horizontal component of the National Standards for Spatial Data Accuracy (NSSDA) reporting standard where a theoretical point will fall within the obtained radius 95 percent of the time. Based on a flying altitude of 500 meters, an IMU error of 0.002 decimal degrees, and a GNSS positional error of 0.008 meters, this project was produced to meet 0.056 meters horizontal accuracy at the 95% confidence level. Some flightlines throughout the area of interest were flown at an AGL of 600 meters. With the same IMU and GNSS error as above, but adjusting the altitude to 600 meters, the horizontal accuracy at the 95% confidence level was 0.066 meters. This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class. NV5 Determined Vertical Accuracy: The NVA was tested with 23 independent check points located in open terrain and distributed throughout the project as feasible. These check points were not used in the calibration or post processing of the lidar point cloud data. Specifications for this project require that the NVA be 0.196 meters or better AccuracyZ at 95% confidence level. The 23 independent NVA check points were surveyed using the closed level loop technique. Elevations interpolated from the ground-classified lidar surface were compared to the elevation values of the surveyed NVA check points. NVA AccuracyZ has been tested and meets the required 0.196 meter NVA at 95% confidence level using (RMSEz * 1.9600) for the ground-classified lidar point cloud as defined by the National Standards for Spatial Data Accuracy (NSSDA) and herein reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. Submerged topography was also tested with 283 check points. These check points were withheld from the calibration and post processing of the lidar point cloud data and distributed throughout the project area as feasible. Submerged topography points are typically collected in depths up to 1m. Project specifications require submerged topography shall meet a vertical RMSE of QL2b specified in the Draft National Coastal Mapping strategy 1.0 which is equivalent to 0.363 m RMSE at a depth of 1m. The 283 independent BAP check points were surveyed using the closed level loop technique. Elevations interpolated from the bathy classified lidar surface were compared to the elevation values of the surveyed submerged topography check points. Submerged Topographic AccuracyZ has been tested and meets the required 0.363 m RMSE at a depth of 1m for the derived bare earth DEMs as defined by the Draft National Coastal Mapping strategy 1.0 and herein reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. USGS Determined Vertical Accuracy: Non-Vegetated Vertical Accuracy (NVA) = 2.62 cm RMSE Vegetated Vertical Accuracy (VVA) = 13.86 cm at the 95th Percentile Bathymetric Vertical Accuracy (BVA) = 13.47 cm at the 95th Percentile These LAS data files include all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. The classified point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications. Classified LAS files were tested by NV5 for vertical accuracy. All data is seamless from one tile to the next, no gaps or no data areas. Yes Unknown Yes NCEI-NC Data is backed up to cloud storage. The NOAA Office for Coastal Management (OCM) downloaded the laz files from the USGS rockyweb site and processed the data to make it available for bulk and custom downloads from the NOAA Digital Coast Data Access Viewer (DAV). USGS Rockyweb LAZ Files Organization USGS Publisher https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/WA_ChehalisRiverTB_D23/WA_ChehalisRiverTB_Topobathy_1_D23/LAZ/ USGS Rockyweb LAZ Files 1 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 Geoid 18 correction. 5. Apply refraction correct to bathymetric returns by flightline. 6. Import raw laser points into manageable blocks to perform manual relative accuracy calibration and filter erroneous points. Classify ground points for individual flight lines. 7. 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. 8. Adjust the point cloud by comparing ground classified points to supplemental ground control points. 2024-04-25T00:00:00 2 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 final NVA, VVA, and density information for the project using ground control quality check points. 2024-04-25T00:00:00 3 The Office for Coastal Management (OCM) downloaded laz files from the USGS rockyweb site for the Chehalis River, WA topobathy dataset. The data were in UTM Zone 10N, NAD83(2011), meters coordinates and NAVD88 (Geoid18) elevations in meters. The points were classified as 0 - Never Classified, 1- Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 17 - Bridge Deck, 18 - High Noise, 20 - Ignored Ground near breakline, 40 - Bathymetric Bottom, 41 - Water Surface, 42 - Synthetic Water Surface, 45 - Water Column. Points that were classified as 0, 7, and 18 also had the withheld bit set, they were removed from the dataset during OCM processing. The classes available on DAV are: 1, 2, 9, 17, 20, 40, 41, 42, 45. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. Internal OCM scripts were run to check the number of points by classification and by flight ID and the gps, elevation, and intensity ranges. 2. Internal OCM scripts were run on the laz files to: a. Convert from orthometric (NAVD88) elevations in meters to NAD83 (2011) ellipsoid elevations in meters using the Geoid18 model b. Convert the laz files from UTM Zone 10N, NAD83(2011), meters coordinates to geographic coordinates c. Assign the geokeys, sort the data by gps time and zip the data to database 2024-12-18T00:00:00 Organization Office for Coastal Management OCM https://ror.org/05v14bq57 2234 South Hobson Avenue Charleston SC 29405-2413 https://www.coast.noaa.gov/ 74157 Data Set Cross Reference gov.noaa.nmfs.inport:74118 Rebecca Mataosky 2024-12-18T19:18:35 SysAdmin InPortAdmin 2026-03-04T19:17:17 2024-12-18 OCM Partners OCMP 1002 Public No No 2024-12-18 1 Year 2025-12-18