58941 Data Set Published / External 37231 Lidar Project Completed 2020-01-17 This dataset is a LiDAR (Light Detection and Ranging) point cloud of the coastal tidal parts of Skagit and Snohomish Counties in WA State. The National Oceanic and Atmospheric Administration’s Office for Coastal Management contracted with Tetra Tech to acquire and process airborne LiDAR over an area of about 186 square miles. Data was to be acquired within a 2 hour window of low tide. Deliverables included classified LiDAR point clouds, breaklines and digital elevation models (DEM). LiDAR data was acquired on 13 and 14 of August 2019. The coastal area was covered in one flight on 8/14 while the inland area was covered on 8/13. The coastal flight took place on 8/14 with a tide window between -0.7 and +0.5 foot. For the airborne LiDAR flight Tetra Tech subcontracted with Eagle Mapping. The data was acquired with a Riegl LMS VQ780i sensor. A ground control survey was conducted to collect calibration points and check points. For the ground survey, Tetra Tech contracted with Compass Data. The LiDAR data and derivative products were to be based on the USGS LiDAR Base Specifications. The coordinate reference system is UTM Zone 10N meters, NAD83(2011). The vertical datum is NAVD88 with Geoid12B. The purpose of this data is to support coastal resource managers, watershed managers, and various stakeholders in their decision making processes. 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 > COASTAL BATHYMETRY Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION Theme ISO 19115 Topic Category elevation Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA Spatial Global Change Master Directory (GCMD) Location Keywords VERTICAL LOCATION > LAND SURFACE Spatial Global Change Master Directory (GCMD) Location Keywords VERTICAL LOCATION > SEA FLOOR Instrument Global Change Master Directory (GCMD) Instrument Keywords LIDAR > Light Detection and Ranging Platform Global Change Master Directory (GCMD) Platform Keywords Airplane > Airplane Spatial Global Change Master Directory (GCMD) Location Keywords Continent > North America > United States Of America > U.S. Coastline 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 NOAA Office for Coastal Management (NOAA/OCM) Data Steward 2020 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 2020 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 2020 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 2020 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 -122.583147 -122.29409 48.644291 48.157119 Range 2019-08-13 2019-08-14 No Yes No No No Yes 5580749344 Unclassified Data is available online for bulk or 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=9035 2020 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. Zip Zip https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9035/index.html 2020 Organization NOAA Office for Coastal Management Bulk Download Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum. LAZ LAS/LAZ - LASer Zip https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9035/supplemental/extent_PadillaBay_NERR_m9035.kmz Browse graphic Browse Graphic KML This graphic displays the footprint for this lidar data set. 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://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9035/supplemental/Accuracy_Report_UTM.pdf Dataset report Online Resource PDF Link to data set report. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9035/supplemental/NVA-DEM.pdf Dataset report Online Resource PDF Link to data set report. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9035/supplemental/NVA-lidar.pdf Dataset report Online Resource PDF Link to data set report. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9035/supplemental/Project_Report_NOAA_WA_LiDAR_update24Feb2020.pdf Dataset report Online Resource PDF Link to data set report. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9035/supplemental/VVA-DEM.pdf Dataset report Online Resource PDF Link to data set report. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9035/supplemental/VVA-lidar.pdf Dataset report Online Resource PDF Link to data set report. The data has been collected to meet or exceed a horizontal accuracy of <= 1m. Ground control survey was conducted by CompassData. CompassData collected 31 points in non-vegetated areas (NVA) and 21 points in vegetated areas (VVA). 7 of the NVA points were provide to Eagle Mapping for point cloud calibration. These points were not used in the absolute accuracy testing. Four control reports were prepared to document the absolute accuracy of the ground classified LiDAR data and the derived digital elevation models. The absolute accuracy was tested for the NVA assessment of the classified ground points, VVA assessment of the classified ground points, NVA assessment of the DEM, and VVA assessment of the DEM. Three VVA points were removed because they were located on slopes, one VVA point was removed automatically as being an outlier. The vertical accuracy requirements for this project for the point cloud data were: NVA RMSE < 0.1 m and NVA 95% error < 0.196m The NVA RMSEz = 0.04 m and was calculated using 25 vertical checkpoints on flat hard surfaces in non vegetated open terrain. The NVA error at the 95 % level z = 0.037 m and was calculated using 25 vertical checkpoints on flat hard surfaces in non vegetated open terrain. The VVA RMSEz = 0.125 m and was calculated using 18 vertical checkpoints on flat hard surfaces in non vegetated open terrain. The VVA error at the 95% level = 0.194 m was calculated using 18 vertical checkpoints on flat hard surfaces in non vegetated open terrain. The Area of interest covers approximately 186 square miles and has been extended by a buffer of 100 meters. The classified LAS files cover the entire area and include all points. No points inside the area were removed. All swaths were inspected to ensure that there are no data gaps except over water bodies. The LiDAR data and derived products cover the 186 square mile area of interest (AOI) plus a 100 meter buffer. The classified LiDAR point cloud and the derived breaklines hav been clipped to the buffered AOI. The derived digital elevation model (DEM) has a define NoDataValue outside of the buffered AOI. All data is delivered in 82 tiles. There are no data gaps or mismatches between tiles. Yes Unknown Yes NCEI-CO Data is backed up to tape and to cloud storage. Lidar Organization TetraTech Originator 1 Flight Acquisition: LiDAR data was acquired on 13 and 14 of August 2019. The coastal area was covered in one flight on August 14 while the inland area was covered on August 13. The coastal flight took place on August 14 with a tide window between -0.7 and +0.5 foot. For the airborne LiDAR flight Tetra Tech subcontracted with Eagle Mapping. The data was acquired with a Riegl LMS VQ780i sensor. 2019-08-14T00:00:00 2 Point Cloud Processing: The point cloud data was classified using the software tools Microstation, TerraScan and TerraModeler. Ground points were classified using a macro developed in-house. These points were then edited further manually to obtain the best bare earth representation. Water points were classified and edited using the hydro breaklines. Low, medium and high vegetation points were classified as per the following heights from the ground: low vegetation (0 to 0.6m), medium vegetation (0.6 to 1.5m), high vegetation (above 1.5m). Ignored ground points (class 20) were classified using 0.5m buffer distance from the hydro-breaklines. Bridge decks were identified using the surface file and classified accordingly. High and Low points were identified and classified into their respective classes. The point cloud data was finally tiled out in LP360 with the correct definition of the projected coordinate system. The point cloud has been classified using the following classes: Class Description Point Count Min Average Max Class 1 Default (11,419,873 points) Class 2 Ground (2,607,438,873 points) Class 3 Low_vegetation (1,631,352,621 points) Class 4 Medium_vegetation (151,567,537 points) Class 5 High_vegetation (1,039,793,650 points) Class 7 Low_point (840,222 points) Class 9 Water (145,165,821 points) Class 17 Bridge decks (870,198points) Class 18 High_noise (13,400 points) Class 20 Ignored Ground (867,734 points) 2020-01-16T00:00:00 3 OCM received 82 laz files from TetraTech. Data was received in UTM 10N NAD 83 (2011) meters horizontally and NAVD88 meters vertically. The data were classified as: 1 Default, 2 Ground, 3 Low_vegetation, 4 Medium_vegetation, 5 High_vegetation, 7 Low_point, 9 Water, 17 Bridge decks, 18 High_noise, Class 20 Ignored Ground. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges. 2. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid12B model, to convert from UTM 10N NAD83 (2011) coordinates in meters to geographic coordinates, to assign the geokeys, to sort the data by gps time and zip the data to database and to http. Organization Office for Coastal Management OCM https://ror.org/05v14bq57 2234 South Hobson Avenue Charleston SC 29405-2413 https://www.coast.noaa.gov/ gov.noaa.nmfs.inport:58941 Blake Waring 2020-02-28T15:25:28 SysAdmin InPortAdmin 2026-03-04T19:17:17 2022-03-16 Office for Coastal Management OCM 1002 Public No No 2022-03-16 1 Year 2023-03-16