79399 Data Set Published / External 47844 DEMs Project Completed 2022 2024 Original Product: This GIS dataset contains Bare Earth (BE) raster models depicting lidar-derived elevation data for the OLC Forest Practice project area. Raster models were delivered by AOI mosaic in addition to 3000ft tiles. Original Geographic Extent: Seven areas in Oregon, covering approximately 4640 square miles. The seven areas are Beaver Marsh, Deschutes, Klamath, Malheur, Paisley, Siskiyou, and Sweet Home. Original Dataset Description: This project called for the planning, acquisition, processing, and production of derivative products of lidar data and was to be collected at a nominal pulse spacing (NPS) of 0.35 m. Project specifications are based on the U.S. Geological Survey National Geospatial Program Lidar Base Specification 2023, Revision A. The native projection is Oregon Statewide Lambert, units are in international feet. The native horizontal datum is NAD83(2011); the native vertical datum is NAVD88; Geoid 18. Bare earth DEMs were derived from the classified lidar data and delivered within a 3000ft x 3000ft tiles tiling schema. Ground Conditions: Lidar was collected between November 20, 2022 to June 22, 2023. There was minimal snow on the ground and the area was free of smoke and cloud cover. This data was provided to the NOAA Office for Coastal Management (OCM) by DOGAMI (Oregon Department of Geology and Mineral Industries), for the purpose of making the data publicly available for custom and bulk downloads from the NOAA Digital Coast Data Access Viewer. This dataset provides high resolution elevation data that is used to produce three-dimensional models of the earth surface for the purpose of managing natural resources and mapping natural hazards. CONTRACTOR: NV5 Geospatial All ground survey data, Lidar data acquisition, calibration, and follow-on processing were completed by the prime contractor, NV5 Geospatial. 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 Theme ISO 19115 Topic Category geoscientificInformation 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) Users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, surveying, or site specific purposes. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information. Acknowledgment of Oregon Department of Geology and Industries (DOGAMI) would be appreciated for products derived from these data. Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners Oregon Lidar Consortium (OLC), Oregon Dept. of Forestry (ODF), Oregon Dept. of Geology and Mineral Industries (DOGAMI), NV5 Geospatial 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 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 -124.021292 -118.02349 44.466764 41.943386 Range 2022-11-20 2023-06-22 3 Foot Yes No No No No Vertical EPSG:8228 NAVD88 height (ft) North American Vertical Datum 1988 1 Gravity-related height H foot up Projected EPSG:6557 NAD83(2011) / Oregon GIC Lambert (ft) NAD83 (National Spatial Reference System 2011) GRS 1980 NAD83(2011) Oregon GIC Lambert (ft) 1 Easting X Foot East 2 Northing Y Foot 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=14018/details/14018 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://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/dem/OR_OLC_ODF_Prv_Frst_Acc_DEM_2022_14018/index.html 2026 Organization NOAA Office for Coastal Management 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://coast.noaa.gov/lidar/viewer/v/noaapotree.html?r=https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/entwine/geoid18/14013/ept.json Potree 3D View Online Resource Link to view the point cloud (using the Entwine Point Tile (EPT) format) in the 3D Potree viewer. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/entwine/geoid18/14013/ept.json Entwine Point Tile (EPT) Online Resource json Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/14013/supplemental/OLC_Forest_Practice_R040453_Cumulative_Report_Final.pdf Lidar Report Online Resource pdf Link to the NV5 Geospatial lidar report. POSPac MMS v.8.9, RiUnite v.1.0.3, StripAlign v.2.21, Microstation CONNECT version, TerraScan Version 19, TerraModeler Version 19, TerraMatch Version 20, Las Product Creator V4, ESRI ArcGIS 10.8, Windows 10 Operating System Lidar horizontal accuracy is a function of Global Navigation Satellite System (GNSS) derived positional error, flying altitude, and 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. For most of the AOIs in the OLC Forest Practice project area, the flying altitude was 2500 meters, the IMU error was 0.002 decimal degrees, and the GNSS positional error was 0.023 meters. Based on these parameters, this project was produced to meet 0.896 feet (0.273 meters) horizontal accuracy at the 95% confidence level. The flying altitude was slightly higher during the November 20, 2022, acquisition for the Sweet Home AOI at 2532 meters, while the IMU error and GNSS positional error were the same as above. Based on these parameters, this portion of the project was produced to meet 0.907 feet (0.277 meters) horizontal accuracy at the 95% confidence level. This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class. The NVA was tested with 128 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. Vegetated Vertical Accuracy (VVA) is also to be computed from the classified las. The VVA was tested with 103 check points in Tall Grass, Forest, and Shrub. These check points were also withheld from the calibration and post processing of the lidar point cloud data and distributed throughout the project area as feasible. Specifications for this project require that the VVA be 0.300 meters or better AccuracyZ at the 95th percentile. The 128 independent NVA check points were surveyed using the closed level loop technique. Elevations of the derived bare earth DEMs were compared to the elevation values of the surveyed NVA check points. The RMSE was computed to be 0.089 feet (0.027 meters) resulting in an AccuracyZ of 0.174 feet (0.053 meters) at the 95% confidence level. NVA AccuracyZ has been tested and meets the required 0.196 meter NVA at 95% confidence level using (RMSEz * 1.9600) for the derived bare earth DEMs as defined by the National Standards for Spatial Data Accuracy (NSSDA) and herein reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines The 103 independent VVA check points were surveyed using the closed level loop technique. Elevations of the derived bare earth DEMs were compared to the elevation values of the surveyed VVA check points. The RMSE was computed to be 0.291 feet (0.089 meters) resulting in an AccuracyZ of 0.589 feet (0.180 meters) at the 95% confidence level. VVA AccuracyZ has been tested and meets the required 0.300 meter NVA at 95% confidence level using (RMSEz * 1.9600) for the derived bare earth DEMs as defined by the National Standards for Spatial Data Accuracy (NSSDA) and herein reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. 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. DEM files were tested by NV5 Geospatial 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. This data was provided to the NOAA Office for Coastal Management (OCM) by the DOGAMI (Oregon Department of Geology and Mineral Industries), for the purpose of making the data publicly available for custom and bulk downloads from the NOAA Digital Coast Data Access Viewer. GeoTIFF Files Organization Oregon Dept. of Geology and Mineral Industries (DOGAMI) Originator 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. Import raw laser points into manageable blocks to perform manual relative accuracy calibration and filter erroneous points. Classify ground points for individual flight lines. 6. 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. 7. Adjust the point cloud by comparing ground classified points to supplemental ground control points. 2022-11-20T00:00:00 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. 2022-11-20T00:00:00 3 Raster DEM Processing: Class 2 (Ground) lidar points were used to create a 3-foot raster DEM. Using automated scripting routines within Microstation, proprietary software Lidar Product Creator, and ArcMap, a GeoTIFF file was created for each tile. Each surface is reviewed using ArcMap to check for any surface anomalies or incorrect elevations found within the surface. 2022-03-01T00:00:00 4 The NOAA Office for Coastal Management (OCM) received GeoTIFF files from the Oregon Department of Geology and Mineral Industries (DOGAMI). The files were in OR Statewide Lambert NAD83(2011) international feet coordinates and the elevations were in NAVD88 (GEOID18) international feet. The bare earth raster files were at a 3 ft grid spacing. OCM assigned the vertical EPSG code (8228), the horizontal EPSG code (6557) and copied the raster files to AWS S3 for Digital Coast storage and provisioning purposes. 2026-03-09T00:00:00 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 79395 Data Set Cross Reference gov.noaa.nmfs.inport:79399 Rebecca Mataosky 2026-03-09T17:55:43 Rebecca Mataosky 2026-08-21T12:34:12 2026-03-10 Office for Coastal Management OCM 1002 Public No No 2026-03-10 1 Year 2027-03-10