79726 or2025_johnday_tb_dem_m14152 Data Set Published / External 49404 DEMs - partner (no harvest) Project Completed 2025 2026 This metadata record supports the digital elevation model (DEM) data for the 2025 USGS Topobathy Lidar John Day River, OR dataset 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. NV5 Geospatial, Inc. was contracted by the United States Geological Survey (USGS) to acquire quality-level 1(QL1) topographic near-infrared (NIR) lidar data and quality-level 2b (QL2b) bathymetric (greenwavelength) lidar data, along with digital imagery in the summer and fall of 2025, covering approximately 11 square miles of the John Day River in the state of Oregon (Project ID: OR_JohnDayTB_D25). The John Day River defined project area (DPA) stretched from North Fork John Day River at Deer Creek to the southeast at the confluence of Wiwaanaytt Creek and the John Day River. Traditional near-infrared (NIR) lidar was fully integrated with green wavelength return data (bathymetric) lidar to provide a seamless topobathymetric lidar dataset. Data collected will support USGS's 3D Elevation Program (3DEP) mission, the U.S. Forest Service's fisheries habitat restoration efforts, and NOAA's National Water Model. 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 OR John Day Topobathymetric Lidar contract. The lidar point cloud data were used to create classified LAS files, intensity images, topobathymetric DEMs, maximum surface height rasters, and a bathymetric void shape. Raster File Type = TIFF Bit Depth/Pixel Type = 32-bit float Raster Cell Size = 1.0 meter Interpolation or Resampling Technique = Triangulated Irregular Network 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 Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY 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 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > OREGON 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, NV5 Geospatial, 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 2026 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 -119.419675 -118.427517 44.938161 44.565022 Range 2025-08-25 2025-10-28 1 Meter Yes No No No No Vertical EPSG:5703 NAVD88 height North American Vertical Datum 1988 1 Gravity-related height H metre up Projected EPSG:6340 NAD83(2011) / UTM zone 11N NAD83 (National Spatial Reference System 2011) GRS 1980 6378137 298.257222101 NAD83(2011) UTM zone 11N Transverse Mercator Latitude of natural origin 0° 0' 0" N Longitude of natural origin 117° 0' 0" W Scale factor at natural origin 0.9996 False easting 500000 metre False northing 0 metre 1 Easting E metre east 2 Northing N metre 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=14152/details/14152 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/OR_JohnDayTB_D25/OR_JohnDayTB_Topobathymetric_1_D25/TIFF/ 2026 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/OR_JohnDayTB_D25/OR_JohnDayTB_Topobathymetric_1_D25/reports/JohnDay2025_USGS_Topobathymetric_Lidar_Report.pdf Lidar Report Online Resource pdf Link to the NV5 Geospatial, Inc. lidar report https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/OR_JohnDayTB_D25/USGS_OR_JohnDayTB_D25_Project_Report.pdf USGS Project Report Online Resource pdf Link to the USGS Project Report that provides information about the project, vertical accuracy results, the point classes and sensors used. https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/OR_JohnDayTB_D25/ USGS Additional Info Online Resource Link to the reports, breaklines, metadata, and spatial metadata. 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 300 meters, an IMU error of 0.003 decimal degrees, and a GNSS positional error of 0.023 meters, this project was produced to meet a 0.036 meter RMSEH Horizontal Positional Accuracy Class. Some flightlines throughout the area of interest were flown at an AGL of 400 meters with an IMU error of 0.002 decimal degrees, and a GNSS positional error of 0.023 meters, resulting in an RMSEH of 0.034 meters. The remaining flightlines were flown at an AGL of 700 meters with an IMU error of 0.003 decimal degrees, and a GNSS positional error of 0.023 meters. For these flightlines, the RMSEH was 0.069 meters. This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (Edition 2) Vertical Accuracy. The specifications requires the Non-vegetated Vertical Accuracy (NVA) be computed from the derived topobathymetric DEMs. The NVA was tested with 35 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 0.10m or better RMSEv. Vegetated Vertical Accuracy (VVA) is also to be computed from the derived topobathymetric DEMs. NV5 Geospatial, Inc Determined Vertical Accuracy: For the John Day River survey, 35 ground checkpoints were withheld from the calibration and post-processing of the lidar point cloud. The NonVegetated Vertical Accuracy (NVA) was found to be RMSEV = 0.041 meters as compared to classified LAS, and RMSEV = 0.039 meters as compared to the bare earth DEM NV5 also assessed vertical accuracy using Vegetated Vertical Accuracy (VVA) reporting. VVA compares known ground checkpoint data collected over vegetated surfaces using land class descriptions to the triangulated ground surface generated by the ground classified lidar points. Unlike in non-vegetated areas, the errors associated with data collected in vegetated areas cannot be assumed to approximate a normal distribution. This dataset was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data, Edition 2, Version 2 (2024) for a 10 cm RMSEV Vertical Accuracy Class. The Vegetated Vertical Accuracy (VVA) was found to be RMSEV = 0.111 meters as compared to the classified LAS, and RMSEV = 0.108 meters as compared to the bare earth DEM. Bathymetric (submerged or along the water's edge) checkpoints were also collected in order to assess the submerged surface vertical accuracy. The Bathymetric Vertical Accuracy (BVA) was found to be RMSEV = 0.129 meters for 87 submerged points, and RMSEV = 0.043 meters for 67 Wetted Edge points. USGS Determined DEM Vertical Accuracy: Non-Vegetated Vertical Accuracy (NVA) = 3.89 cm RMSE Vegetated Vertical Accuracy (VVA) = 23.49 cm at 95th Percentile A visual qualitative assessment was performed to ensure data completeness. A bathymetric void shape has been provided as a separate deliverable. The classified point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications. DEM files were tested by NV5 for vertical accuracy. 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 - OR_JohnDay_TB_Topobathymetric_1 Organization USGS Publisher https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/OR_JohnDayTB_D25/OR_JohnDayTB_Topobathymetric_1_D25/TIFF/ USGS AWS GeoTIFF Files for OR_JohnDay_TB_Topobathymetric_1 USGS AWS GeoTIFF Original Data Metadata Organization USGS Originator https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/OR_JohnDayTB_D25/OR_JohnDayTB_Topobathymetric_1_D25/reports/vendor_provided_xml/OR_JohnDayTB_D25_Void_Clipped_DEM.xml 2025 USGS John Day River, OR Topobathy Lidar DEM Metadata Below is the information from the original data metadata Abstract created by the data collection vendor NV5 Geospatial, Inc. This Abstract describes the original data as it was delivered to the USGS and that the NOAA OCM Digital Coast Data Access Viewer (DAV) is accessing. Product: Topobathymetric Digital Elevation Model (DEM) data covering the OR John Day Topobathymetric Lidar project area. Geographic Extent: This dataset and derived products encompass an area covering approximately 7,021 acres of Northeast Oregon. Dataset Description: Lidar flight line swaths were processed to create 165 classified LAS 1.4 files delineated in 1,000m x 1,000m tiles. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. The data was developed based on a horizontal projection/datum of UTM Zone 11 N, NAD83(2011), Meters and vertical datum of NAVD88 Geoid 18, Meters. Class 2 (ground) and class 40 (bathymetric bottom) lidar points were used to create a 165 1.0 meter topobathymetric Raster DEMs delineated in 1,000m x 1,000m tiles. This version of the topobathymetric model has been clipped. Areas of bathymetric voids were triangulated from the nearest bathymetric returns. Users should be aware that bathymetric voids can indicate deeper areas beyond the penetration capabilities of the laser and view these as low confidence areas. Non-Vegetated Vertical Accuracy (NVA) was assessed using 35 check points located on bare earth in clear, unobstructed areas. Vegetated Vertical Accuracy (VVA) was assessed using 35 check points in Tall Grass, Forest, and Shrub landcover types. Additional products include classified LAS files, intensity images, maximum surface height rasters, and a bathymetric void shape. Ground Conditions: Ground condition was free of snow and acquisition occurred free of smoke, fog and cloud cover. 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. 2026-01-27T00:00:00 2 Lidar Post-Processing: 1. Classify data to ground and other client designated classifications using proprietary classification algorithms. 2. Manually QC data classification 3. Calculate final NVA and VVA vertical accuracy statistics and calculate native and ground density information. 2026-01-27T00:00:00 3 Breaklines: 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. 2026-01-27T00:00:00 4 bathymetric void shape: Ground and bathymetric bottom points within and near the water's edge breakline were used to construct a Delaunay triangulation. Triangulation across the water's edge breakline to terrestrial ground points may occur. Insufficiently mapped areas denoted as "Void" were identified as areas composed of triangles with edge length maximums greater than or equal to 4.56 meters. Sufficiently mapped areas denoted as "Covered" were identifed as areas composed of triangles with edge length maximums less than 4.56 meters. The bathymetric void shape is clipped to the water's edge breakline extent and percent area is calculated. This shape was used to clip the final topobathymetric DEMs to avoid interpolation over areas lacking bathymetric returns. 2026-01-27T00:00:00 5 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/OR_JohnDayTB_D25/OR_JohnDayTB_Topobathymetric_1_D25/TIFF/ 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 Riegl VQ-860-G instrument Topobathymetric lidar sensor The RIEGL® VQ-860-G airborne laser scanner with increased performance enhances depth penetration in surveying inland waters and near shore waters for even more efficiency in bathymetric applications. Riegl VUX-240 instrument lidar sensor The RIEGL VUX-240 is a lightweight airborne laser scanner designed for use on UAVs, small manned aircraft, and helicopters. It is ideal for high point density corridor mapping applications due to its wide field of view and fast data acquisition rate. Unknown gov.noaa.nmfs.inport:79726 Rebecca Mataosky 2026-05-11T21:00:49 Rebecca Mataosky 2026-05-12T18:22:15 2026-05-12 OCM Partners OCMP 1002 Public No No 2026-05-12 1 Year 2027-05-12