77700 ca2022_yurok_dem_m10429 Data Set Published / External 49404 DEMs - partner (no harvest) Project Completed 2022 2025 Original Product: These are Digital Elevation Model (DEM) data for the USGS Yurok Tribe Ancestral Lands 3DEP LiDAR project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a hydro-flattened DEM using LP360 2024.1.30.2. Original Geographic Extent: This dataset and derived products encompass an area covering approximately 1,320 Square Kilometers of Northern California covering the lower Klamath River and surrounding areas. Original Dataset Description: RAW flight line swaths were processed to create 1,456 classified LAS 1.4 files delineated in 1,000 m x 1,000 m tiles. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. Additional derived products include intensity images, hydro-flattened DEMs, Maximum Surface Height Rasters, Swath Separation Images (SSIs), and 3D breaklines of rivers and lakes within the study area. Ground conditions: Snow free, no unusual inundation. Coastal Areas were collected within plus or minus 120 minutes of predicted low tide at Crescent City, CA (841-9750). 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 collection is to generate Quality Level 1 data for the USGS 3DEP program and supporting organizations. Raw Lidar point clouds were used to created classified LAS files, intensity images, hydroflattened Bare Earth Surface DEMs, and 3D breaklines of rivers and bodies of water. USGS Contract No. 140G0322Q0250 Project ID: 300077 Contractor: Yurok Tribe Raster File Type = GeoTIFF (*.tif) Bit Depth/Pixel Type = 32-bit float Raster Cell Size = 0.5 Meter 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 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 > CALIFORNIA 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 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. Yurok Tribe 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 -124.1422284 -123.6095125 41.6847408 41.1673048 Range 2022-10-07 2022-12-06 Yes No No No No Projected EPSG:6339 NAD83(2011) / UTM zone 10N NAD83 (National Spatial Reference System 2011) GRS 1980 6378137 298.257222101 NAD83(2011) UTM zone 10N Transverse Mercator Latitude of natural origin 0° 0' 0" N Longitude of natural origin 123° 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 Vertical EPSG:5703 NAVD88 height North American Vertical Datum 1988 1 Gravity-related height H metre 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=10429 /details/10429 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/CA_Yurok_T23/CA_Yurok_1_T23/TIFF/ 2025 Organization U.S. Geological Survey Bulk Download Bulk download of data files in GeoTIFF format, in UTM Zone 10 NAD83 (2011), meters coordinates and elevations in NAVD88 (GEOID18) meters. 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/CA_Yurok_T23/CA_Yurok_1_T23/reports/CA_Yurok_1_T23_LidarMappingReport_300077.pdf Lidar Report Online Resource pdf Link to the lidar report. https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/CA_Yurok_T23/USGS_CA_Yurok_T23_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/CA_Yurok_T23/ USGS Additional Info Online Resource Link to the reports, breaklines, metadata, spatial metadata, and shapefiles. LP360 2024.1.30.2; TerraScan 022.027; RiProcess 1.9.2.4; POSPac 8.8; LAStools 20220202, Windows 10 Operating System Absolute horizontal accuracy was assessed using ground control points (GCPs), comprised of highly visible road markings throughout the DPA. A total of 8 GCPs were used to calculate horizontal accuracy against intensity images derived from LiDAR ground points. Based on the intensity analysis, this data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10 cm RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 24.5 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. USGS Determined DEM Vertical Accuracy: Non-Vegetated Vertical Accuracy (NVA) = 6.01 cm RMSE Vegetated Vertical Accuracy (VVA) = 19.24 cm at 95th Percentile DEMs were created from the LAS files. These raw 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. Small void areas exist in extremely dense vegetation where tall trees have shaded adjacent line coverage. Ground control points has been used to assess the data and to calculate the vertical accuracy of project. 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 Organization USGS Publisher https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/CA_Yurok_T23/CA_Yurok_1_T23/TIFF/ USGS AWS GeoTIFF files 1 Lidar Pre-Processing: Base station control, airborne GNSS and IMU data were merged to develop a Single Best Estimate of trajectory (SBET) of the lidar system for each lift. Lidar ranging data were initially calibrated using previous best parameters for this instrument and aircraft. Relative calibration was evaluated using advanced plane-matching analysis and parameter corrections derived. This process was repeated iteratively until residual errors between overlapping swaths, across all project lifts, was reduced to 2 cm or less. The data was checked against independently surveyed check points. Swath width was reduced from 58.5 degrees to 55 degrees with overlap points flagged as withheld. 2024-03-29T00:00:00 2 Lidar Post-Processing: Classify data to ground and other client designated classifications using proprietary classification algorithms. Manually QC data classifications. 2024-12-20T00:00:00 3 Hydroflattening Breaklines and Hydroflattened DEM: Breaklines were created using ArcGIS and LP360 Software using automated and manual methods to create hydro polygons around water surfaces. A centerline for each polygon was created and conflated to the water surface. Double-line drain methods were used to assign the waters edge elevation to match the surface elevation at the center of the water, hydroflattening each of the hydropolygons. Lakes and Ponds were assigned a consistent elevation, river polygons were assigned consistent elevations on each bank, and smoothed to ensure downstream flow. For more details on breakline creation, see accompanying LiDAR Mapping Report. "Raster File Type = GeoTIFF (*.tif) Bit Depth/Pixel Type = 32-bit float Raster Cell Size = 0.5 Meter Interpolation or Re-sampling Technique = Triangulated Irregular Network Required Vertical Accuracy = 19.6 cm NVA" 2024-12-20T00:00:00 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/CA_Yurok_T23/CA_Yurok_1_T23/TIFF/ 2025-09-08T00:00:00 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 gov.noaa.nmfs.inport:77700 Rebecca Mataosky 2025-09-08T19:19:13 Rebecca Mataosky 2025-09-08T20:56:01 2025-09-08 OCM Partners OCMP 1002 Public No No 2025-09-08 1 Year 2026-09-08