gov.noaa.nmfs.inport:58661 eng UTF8 dataset Elevation OCM Partners resourceProvider NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact 2026-04-30T00:00:00 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) point 28232668577 NAD83(2011) / UTM zone 10N2008-11-12publicationEuropean Petroleum Survey Grouphttps://apps.epsg.org/api/v1/CoordRefSystem/6339/export/?format=gmlurn:ogc:def:crs:EPSG:63396.18.3 2018 USGS Klamath River Topobathymetric Lidar 2018 Klamath River Topobathy m8997 2019-01-29 publication NOAA/NMFS/EDM 58661 https://www.fisheries.noaa.gov/inport/item/58661 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8997/supplemental/USGS_Klamath_Topobathymetric_LiDAR_Imagery_Report_190725_Signed.pdf WWW:LINK-1.0-http--link Dataset report Link to data set report. download https://coast.noaa.gov/dataviewer/ WWW:LINK-1.0-http--link NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) 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. download Product: These are Digital Elevation Model (DEM) data for the USGS Klamath River Topobathymetric LiDAR project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 1 meter hydro-flattened Raster DEM. Geographic Extent: This dataset and derived products encompass an area covering approximately 72,030 acres of Northern California and Southern Oregon. Dataset Description: RAW flight line swaths along with multi-beam sonar were processed to create 2,262 classified LAS 1.4 files delineated in 500 m x 500 m tiles. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. Additionally 105 files have incorporated sonar point information which has been calibrated, controlled, and classified. Sonar data has been assigned a flightline number/point source ID of 0. Additional derived products include intensity images, topobathymetric DEMs, highest hit surface models, 3D breaklines of rivers and lakes within the study area, 30cm contours, and a bathymetric coverage shape. Ground Conditions: Ground condition free of snow. Acquisition below aircraft free of smoke, fog and cloud cover. Ground Control Points were acquired and calibrated by Quantum Spatial, Inc. (Please note that 2 tiles contain no data due to their size and therefore do not exist. These tiles include 10TEM110310, 10TEM765550) This data set contains point cloud data(' in LAZ (compressed LAS) format', ''). The data may have been reprojected or otherwise modified from the original data in an automated process. Disregard projection information in this abstract and refer to the spatial reference section. The purpose of the lidar data was to produce a high accuracy 3D dataset that meets all necessary standards laid out by the USGS Klamath River contract. The raw lidar point cloud data were used to create classified lidar LAS files, intensity images, topobathymetric DEMs, hydro-flattened DEMs, highest hit surface models, 3D breaklines of rivers and lakes within the study area, 30cm contours, and a bathymetric coverage shape. USGS; Quantum Spatial, Inc. The custom download may be cited as National Oceanic and Atmospheric Administration (NOAA) Digital Coast Data Access Viewer. Charleston, SC: NOAA Office for Coastal Management. Accessed 2026-05-04 at https://coast.noaa.gov/dataviewer. completed NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information email coastal.info@noaa.gov custodian notPlanned https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8997/supplemental/extent_klamath_m8997.kmz This graphic displays the footprint for this lidar data set. KML EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY theme Global Change Master Directory (GCMD) Science Keywords 23.3 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA VERTICAL LOCATION > LAND SURFACE VERTICAL LOCATION > SEA FLOOR place Global Change Master Directory (GCMD) Location Keywords 23.3 LIDAR > Light Detection and Ranging instrument Global Change Master Directory (GCMD) Instrument Keywords 23.3 Airplane > Airplane platform Global Change Master Directory (GCMD) Platform Keywords 23.3 Bare Earth theme Lidar - partner (no harvest) project InPort otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-05-04 from the NOAA system. Cite As: OCM Partners, [Date of Access]: 2018 USGS Klamath River Topobathymetric Lidar [Data Date Range], https://www.fisheries.noaa.gov/inport/item/58661. NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose. otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-05-04 from the NOAA system. Access Constraints: None otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-05-04 from the NOAA system. Use Constraints: 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. otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-05-04 from the NOAA system. Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners unclassified vector eng; US elevation -124.097737 -121.768716 41.179445 42.292188 | Currentness: Ground Condition 2018-06-01 2018-06-14 Zip Zip LAS/LAZ - LASer Zip NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information distributor https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8997 WWW:LINK-1.0-http--link Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8997/index.html WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum. download dataset Vertical Positional Accuracy The specifications require that 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. Bathymetric Accuracy was calculated against bathymetric classified points. The NVA was tested with 21 independent check points located in open terrain, and distributed throughout the project as feasible, while VVA was tested with 9 independent check points located in a variety of vegetation classes distributed throughout the project area as feasible. Bathymetric accuracy was tested with 103 independent check points taken in various submerged locations along the river. 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. Bathymetric accuracies were calculated at 95% confidence level. Quantitative value: 0.074 0.080 0.163 0.089, Test that produced the value: The Non-vegetated Vertical Accuracy (NVA) of this dataset, tested at a 95% confidence level against the lidar point cloud is 0.074 m. Please see the LiDAR data report for a discussion of the statistics related to this dataset. The Non-vegetated Vertical Accuracy (NVA) of this dataset, tested at a 95% confidence level against the derived digital elevation model is 0.080 m. Please see the LiDAR data report for a discussion of the statistics related to this dataset. The Vegetated Vertical Accuracy (VVA) of this dataset, tested at a 95th percentile against the derived digital elevation model is 0.163 m. Please see the LiDAR data report for a discussion of the statistics related to this dataset. The submerged bathymetric accuracy of this dataset, tested at a 95% confidence level against the lidar point cloud is 0.089 m. Please see the LiDAR data report for a discussion of the statistics related to this dataset. Completeness Report LAS files include all data points collected. No points have been removed or excluded. Shaded relief images have been visually inspected for data errors such as pits, border artifacts, and shifting. LiDAR flight lines have been examined to ensure consistent elevation values across overlapping flight lines. The raw point cloud is of good quality and data passes Vertical Accuracy specifications. Conceptual Consistency Classified LAS files were tested by QSI for both vertical and horizontal accuracy. All data is seamless from one tile to the next, no gaps or no data areas. 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 geoid12b correction. 5. Import raw laser points into manageable blocks (less than 500 MB) 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. 2019-01-29T00:00:00 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 NVA and VVA, and density information for the project using ground control quality check points. 2019-01-29T00:00:00 Lidar point clouds were obtained from the USGS in UTM zone 10 horizontally and NAVD88 (GEOID12B) vertically, both with units of meters. They were converted to geographic coordinates and ellipsoid heights for ingestion into the Digital Coast Data Access Viewer. 2019-01-23T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor Lidar point cloud USGS originator The dataset has been mosaiced, reprojected, and clipped as needed from the original input files using PDAL and GDAL commands. 2026-05-04NOAA Office for Coastal Managementcoastal.info@noaa.govprocessor