79019 wa2017_ql2_3cnty_dem_m13920 Data Set Published / External 49404 DEMs - partner (no harvest) Project Completed 2017 2019 Product: These are Digital Elevation Model (DEM) data for QL2 portion of the WA 3 County LiDAR 2017 lidar project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 3 foot hydro-flattened Raster DEM. Geographic Extent: This dataset and derived products encompass an area covering approximately 1387 square miles. The area includes Columbia, Garfield, and Walla Walla counties in south eastern Washington. Dataset Description: RAW flight line swaths were processed to create classified LAS 1.4 files delineated in 3000 ft x 3000 ft tiles. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. Additional derived products include intensity images, highest hit surface models, and 3D breaklines of rivers and lakes within the study area. Ground Control Points were acquired and calibrated by Quantum Spatial, Inc. Data acquisition was coordinated by Quantum Spatial and all lidar data calibration, and follow-on processing were completed by Quantum Spatial, Inc. Ground Conditions: Acquisition below aircraft free of smoke, fog and cloud cover. A small area with remaining snow on the ground was noticed in the data. The difference was only noticed due to the area being acquired at two different times. The high snow level was classified to class 21 and the overlapping mission acquired without snow on the ground was used for ground model creation. A shape of this area has been provided. This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the GeoTIFF files hosted by USGS on Amazon Web Services. The purpose of the lidar data was to produce a high accuracy 3D dataset that meets all necessary standards laid out by the 3DEP initiative. The raw lidar point cloud data were used to create classified lidar LAS files, intensity images, hydro-flattened DEMs, highest hit surface models, and 3D breaklines of rivers and lakes within the study area. Raster File Type = GRID Bit Depth/Pixel Type = 32-bit float Raster Cell Size = 3 Feet Interpolation or Re-sampling Technique = Triangulated Irregular Network Required Vertical Accuracy = 19.6 cm NVA 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 > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM) 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 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. USGS, Quantum Spatial, Inc. Data Steward 2026 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 2026 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 2019 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 2026 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 2026 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 -119.04803 -117.42 46.732836 45.961812 Range 2017-10-03 2018-03-20 Yes No No No No Vertical EPSG:6360 NAVD88 height (ftUS) North American Vertical Datum 1988 1 Gravity-related height H US survey foot up Projected EPSG:6599 NAD83(2011) / Washington South (ftUS) Lambert Conic Conformal (2SP) 1 easting X ftUS east 2 Northing Y ftUS north Custom Universal (CC0 1.0) Public Domain Dedication https://creativecommons.org/publicdomain/zero/1.0/ To the extent possible under law, the U.S. Government has waived all copyright and related or neighboring rights to this dataset. 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=13920/details/13920 2026 Organization NOAA Office for Coastal Management Customized Download Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base. Not Applicable Zip https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WA_3_County_Lidar_2017_B17/WA_3_County_QL2_2017/TIFF/ 2019 Organization U.S. Geological Survey Bulk Download Bulk download of data files in the original coordinate system. GeoTIFF 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_3_County_Lidar_2017_B17/WA_3_County_QL2_2017/reports/USGS%20Washington_3_Counties_Technical_LiDAR_Report.pdf Lidar Report Online Resource pdf Link to the Quantum Spatial, Inc. lidar report. https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/WA_3_County_Lidar_2017_B17/WA_3_County_QL2_2017/ USGS Additional Info Online Resource Link to the additional information available for this data set from the USGS. This information includes reports, tile index shapefiles, and hydro breaklines. The specifications require that raw Non-vegetated Vertical Accuracy (NVA) be computed from the both the raw lidar point cloud swath files and the derived DEMs. Additionally, the Vegetated Vertical Accuracy (VVA) is computed from the derived DEMs. The NVA was tested with 85 independent check points located in open terrain, and distributed throughout the project as feasible, while VVA was tested with 79 independent check points located in a variety of vegetation classes distributed throughout the project area. 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 19.6 cm meters or better AccuracyZ at 95% confidence level and that the VVA be 29.4 cm or better AccuracyZ at the 95th percentile. Tested 0.083 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the raw lidar point cloud files was calculated against TINs derived from the final calibrated and controlled data using 85 independent checkpoints located in Bare Earth and Urban land cover classes. Tested 0.077 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the classified lidar point cloud files was calculated against rasters derived from the final calibrated, controlled, and classified data using 85 independent checkpoints located in Bare Earth and Urban land cover classes. Tested 0.206 meters VVA at the 95th percentile as defined by the National Standards for Spatial Data Accuracy (NSSDA). The VVA of the classified lidar point cloud files was calculated against rasters derived from the final calibrated, controlled, and classified data using 85 independent checkpoints located in forest, shrub, and tall grass land cover classes. 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. No void areas or missing data exist. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications. Data covers the entire area specified for this project. The NOAA Office for Coastal Management (OCM) ingested references to the USGS GeoTIFF files that are hosted on Amazon Web Services (AWS), into the Digital Coast Data Access Viewer (DAV). The DAV accesses the raster data as it resides on AWS. USGS AWS GeoTIFF Files - WA_3_County_QL2 Organization USGS Publisher https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WA_3_County_Lidar_2017_B17/WA_3_County_QL2_2017/TIFF/ USGS AWS GeoTIFF Files for WA_3_County_QL2 1 Hydroflattening Breaklines and Hydroflattened DEM creation: Water boundary polygons were developed using an algorithm which weights LiDAR-derived slopes, intensities, and return densities to detect the water's edge. The water's edge was then manually reviewed and edited as necessary. Elevations were assigned to the water’s edge through neighborhood statistics identifying the lowest LiDAR return from the water surface. Lakes were assigned a consistent elevation for an entire polygon while rivers were assigned consistent elevations on opposing banks and smoothed to ensure downstream flow through the entire river channel. These breaklines were incorporated into the hydro-flattened DEM by enforcing triangle edges (adjacent to the breakline) to the elevation values derived from the breakline. This implementation corrected interpolation along the hard edge. Breaklines were also used to classify all ground points within the identified water bodies to class 9 (water). 2018-10-11T00:00:00 2 The NOAA Office for Coastal Management (OCM) created references to the USGS GeoTIFF files that were ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the raster data as it resides on Amazon Web Services (AWS). These are the GeoTIFF files that are being accessed: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WA_3_County_Lidar_2017_B17/WA_3_County_QL2_2017/TIFF/ 2026-01-20T00:00:00 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 79039 Data Set Cross Reference gov.noaa.nmfs.inport:79019 Rebecca Mataosky 2026-01-20T19:02:42 Rebecca Mataosky 2026-01-23T21:13:20 2026-01-20 OCM Partners OCMP 1002 Public No No 2026-01-20 1 Year 2027-01-20