78462 or2020_wwldfires_clatsop_dem_m13739 Data Set Published / External 49404 DEMs - partner (no harvest) Project Completed 2020 2025 Original Product: Raster data of a hydroflattened Digital Elevation Model (DEM) data covering the Western Wildfire Unit 2 project areas. Original Geographic Extent: This dataset and derived products encompass a combined area covering approximately 1,176 square miles of forested land located in parts of the following counties: Clatsop, Tillamook, Washington, Columbia, Lincoln, Benton, Marion, Clackamas, and Linn. Original Dataset Description: Lidar flight line swaths were processed to create 3,951 classified LAS 1.4 files delineated in 3000ft x 3000ft tiles. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Class 2 (ground, unflagged) lidar points in conjunction with the hydro breaklines were used to create 3,951 1-foot hydro-flattened Raster DEMs delineated in 3000ft x 3000ft tiles. Non-Vegetated Vertical Accuracy (NVA) was assessed using 75 check points located on bare earth in clear, unobstructed areas. Vegetated Vertical Accuracy (VVA) was assessed using 66 check points in tall grass, forest, and shrub land cover types. Conditions at time of acquisition: free of snow, smoke, fog and cloud cover. 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 3D Elevation Program and the Oregon Department of Forestry contract. The lidar point cloud data were used to create classified lidar LAS files, hydro-flattened DEMs, maximum surface height surface models, and 3D breaklines of rivers and lakes within the study area. Raster File Type = TIFF; Bit Depth/Pixel Type = 32-bit floating; Raster Cell Size = 1-foot; Interpolation or Resampling Technique = Triangulated Irregular Network; Required Vertical Accuracy is 19.6 cm at 95% Confidence Level for NVA or better. 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 > 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. Oregon Dept. of Forestry (ODF), USGS, GeoTerra, Inc. Data Steward 2025 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 2025 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 2025 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 2025 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 2025 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 -123.93 -122.33 46.240769 44.544123 Range 2020-05-07 2020-09-30 Dates of collection for Clatsop/Nehalem/Trask Discrete 2020-05-07 Date of collection for Burnt Woods Discrete 2020-05-24 Date of collection for Gates Yes No No No No 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 Vertical EPSG:8228 NAVD88 height (ft) North American Vertical Datum 1988 1 Gravity-related height H foot up 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=13739/details/13739 2025 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_WesternWildfires_A22/OR_WWildfires_2_A22/TIFF/ 2025 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_WesternWildfires_A22/OR_WWildfires_2_A22/reports/OR_WesternWildfires_2_A22_Lidar_Technical%20Report.pdf Lidar Report Online Resource pdf Link to the lidar report. https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/OR_WesternWildfires_A22/USGS_OR_WesternWildfires_A22_Project_Report.pdf USGS Project Report Online Resource pdf Link to the USGS Project Report that provides information about the project, vertical accuracy results, and the point classes and sensors used. https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/OR_WesternWildfires_A22/OR_WWildfires_2_A22/ USGS Additional Info Online Resource Link to the reports, breaklines, metadata, and spatial metadata. Optech LMS, Novatel Inertial Explorer v8.9, Microstation CONNECT, TerraScan Version 19, TerraMatch Version 19, ESRI ArcGIS 10.3, ESRI ArcGIS Pro 3.0, Geocue LP360, Windows 10 Operating System This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 0.57 ft (17.4 cm) RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 1.4 ft (42.6 cm) at a 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. Nonvegetated (NVA) and Vegetated (VVA) checkpoints were independently surveyed to assess final accuracy. USGS Determined DEM Vertical Accuracy: Non-Vegetated Vertical Accuracy (NVA) = 4.8 cm RMSE Vegetated Vertical Accuracy (VVA) = 26.73 cm at the 95th Percentile 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 GeoTerra for vertical accuracy. All data is seamless from one tile to the next and contain no gaps or no-data areas. 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_WWildfires_2 Organization USGS Publisher https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/OR_WesternWildfires_A22/OR_WWildfires_2_A22/TIFF/ USGS AWS GeoTIFF Files for OR_WWildfires_2 1 Lidar Pre-Processing: 1. Review all flight data to ensure accuracy of the laser points and complete coverage of the project area. 2. Perform corrections for aircraft position data using Precise Point Positioning (PPP) method. 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 data for the entire survey in *.las format. Convert data to orthometric elevations by applying a Geoid 12b correction. 5. Import raw point data into manageable blocks to perform relative accuracy calibration and filter erroneous points. Auto-classify ground points for individual flight lines. 6. 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. Calculate relative line-to-line data accuracy after final adjustment. 7. Apply final positional adjustment to the point cloud by comparing ground classified points to surveyed ground control points. 2022-12-01T00:00:00 2 Lidar Post-Processing: 1. Classify data to ground and other client designated classifications using site-specific algorithms. 2. Manually QC data classification. 3. After completion of classification and final QC, calculate final density and final ground fit statistics for NVA, VVA, using field surveyed QC checkpoints. 2024-05-26T00:00:00 3 Hydro-flattening Breaklines and Hydro-flattened DEM creation: Water boundaries were manually derived for rivers and stremas wider than 100 feet, water bodies greater than 2 acres in size, and bridge decks by reviewing ground-classified Lidar with intensity values in a 3D environment. Lakes were assigned a consistent elevation for an entire polygon while rivers were assigned consistent elevations on opposing banks to ensure downstream flow through the entire river channel. Resulting breaklines were incorporated into the DEM to produce a hydro-flattened surface model by enforcing elevation values derived from the breakline to correct the interpolation along the hard water edges. Breaklines were also used to classify all ground points within the identified water bodies to class 9 (water). 2024-05-26T00:00:00 4 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_WesternWildfires_A22/OR_WWildfires_2_A22/TIFF/ 2025-10-21T00:00:00 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 78466 Data Set Cross Reference gov.noaa.nmfs.inport:78462 Rebecca Mataosky 2025-10-21T18:35:08 Rebecca Mataosky 2025-10-21T20:02:46 2025-10-21 OCM Partners OCMP 1002 Public No No 2025-10-21 1 Year 2026-10-21