gov.noaa.nmfs.inport:62765 eng UTF8 dataset Elevation OCM Partners resourceProvider Office for Coastal Management 2234 South Hobson Avenue Charleston SC 29405-2413 https://www.coast.noaa.gov/ WWW:LINK-1.0-http--link Office for Coastal Management Website Website listed for Office for Coastal Management information pointOfContact 2026-03-04T19:17:17 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) 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 2015 OLC Topobathy Lidar: Middle Fork Willamette River, OR 2015 creation 2015 publication NOAA/NMFS/EDM 62765 https://www.fisheries.noaa.gov/inport/item/62765 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/geoid18/9168/supplemental/2015_Middle_Fork_Willamette_Topobathymetric_Data_Report.pdf WWW:LINK-1.0-http--link Data set report Report by WSI that formed the basis for this metadata. Contains additional information. download Airborne topobathymetric lidar point cloud collected for the Middle Fork of Willamette River, Oregon in 2015. In September 2015, Quantum Spatial (QSI) was contracted by the Oregon LiDAR Consortium (OLC) to collect topobathymetric Light Detection and Ranging (LiDAR) data in the fall of 2015 for the Middle Fork Willamette River site in Oregon. The Middle Fork Willamette River area of interest stretches between Eugene/Springfield and Dexter Dam and Fall Creek below Fall Creek Dam. Traditional near-infrared (NIR) LiDAR was fully integrated with green wavelength return data (bathymetric) LiDAR in order to provide seamless and complete project mapping. 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. Data were collected to aid OLC in providing a complete topobathymetric dataset to be used in analyses of the long term impacts associated with sediment deposition on downstream habitat and channel morphology. Oregon Lidar Consortium; Quantum Spatial, Inc; DOGAMI 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 2026-03-26 at https://coast.noaa.gov/dataviewer. completed Office for Coastal Management 2234 South Hobson Avenue Charleston SC 29405-2413 https://www.coast.noaa.gov/ WWW:LINK-1.0-http--link Office for Coastal Management Website Website listed for Office for Coastal Management information custodian asNeeded https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9168/supplemental/extent_MiddleFork_Willamette_m9168.kmz graphic showing the extent of the data set. kmz EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > SEAFLOOR TOPOGRAPHY theme Global Change Master Directory (GCMD) Science Keywords 17.0 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > OREGON VERTICAL LOCATION > LAND SURFACE place Global Change Master Directory (GCMD) Location Keywords 20.8 LIDAR > Light Detection and Ranging instrument Global Change Master Directory (GCMD) Instrument Keywords 17.2 Airplane > Airplane platform Global Change Master Directory (GCMD) Platform Keywords 17.2 Continent > North America > United States Of America > Oregon > Eugene Continent > North America > United States Of America > Oregon > Springfield place Lidar - partner (no harvest) project InPort otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-03-26 from the NOAA system. Cite As: OCM Partners, [Date of Access]: 2015 OLC Topobathy Lidar: Middle Fork Willamette River, OR [Data Date Range], https://www.fisheries.noaa.gov/inport/item/62765. 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 2026-03-26 from the NOAA system. Access Constraints: None otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-03-26 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. unclassified NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 62765 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/62765.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference vector eng; US elevation -123.0368 -122.74759 43.9083 44.050142 Area includes the Middle Fork, Wilamette River and a buffer of land around it. Collection dates of lidar | Currentness: Ground Condition 2015-09-14 2015-09-15 Multiple formats Zip LAS/LAZ - LASer Zip Office for Coastal Management 2234 South Hobson Avenue Charleston SC 29405-2413 https://www.coast.noaa.gov/ WWW:LINK-1.0-http--link Office for Coastal Management Website Website listed for Office for Coastal Management information distributor https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9168 WWW:LINK-1.0-http--link https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9168 Application to 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. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9168/index.html WWW:LINK-1.0-http--link https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9168/index.html 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. download dataset Vertical Positional Accuracy Absolute accuracy was assessed using Fundamental Vertical Accuracy (FVA) reporting designed to meet guidelines presented in the FGDC National Standard for Spatial Data Accuracy3. FVA compares known ground check point data collected on open, bare earth surfaces with level slope (<20 degrees) to the triangulated surface generated by the LiDAR points. FVA is a measure of the accuracy of LiDAR point data in open areas where the LiDAR system has a high probability of measuring the ground surface and is evaluated at the 95% confidence interval (1.96 * RMSE). The mean and standard deviation (sigma ) of divergence of the ground surface model from ground check point coordinates are also considered during accuracy assessment. These statistics assume the error for x, y and z is normally distributed, and therefore the skew and kurtosis of distributions are also considered when evaluating error statistics. For the Middle Fork Willamette River survey, 30 ground check points were withheld in total resulting in a fundamental vertical accuracy of 0.060 meters at the 95% confidence interval (1.96 * RMSE). Additionally, 45 bathymetric (submerged or along the water’s edge) check points were also collected in order to assess the submerged surface vertical accuracy, resulting in an average absolute accuracy of 0.012 meters at the 95% confidence interval (1.96 * RMSE). QSI also assessed absolute accuracy using 555 ground control points. Although these points were used in the calibration and post-processing of the LiDAR point cloud, they may still provide a good indication of the overall accuracy of the LiDAR dataset, and therefore have been provided - please see the dataset report for more details. Planning: The airborne survey was designed to collect a point density of 4-5 pulses/m2 for the topo-bathymetric LiDAR. The flight was planned with a scan angle of ±20o and 50% side-lap. The 50% side-lap was used to ensure uniform coverage and to minimize laser shadowing due to vegetation and terrain. The flights were conducted in the late fall during base flow conditions to maximize water clarity and ensure shallow depths. The flight lines were developed using ALTM-NAV Planner (v.3.0) software and Leica Mission Pro Flight Planning and Evaluation (FPES) software. Efforts were taken to optimize flight paths by minimizing flight times while meeting all accuracy specifications. The WSI acquisition staff considered all factors such as air space restrictions, private property access, and GPS quality in the planning of this mission. 2015-09-01T00:00:00 Lidar Survey: The LiDAR survey was accomplished using a Leica ALS80 system dually mounted with a Riegl VQ-820-G topobathymetric sensor in a Cessna Caravan. The Riegl VQ-820-G uses a green wavelength (ʎ=532 nm) laser that is capable of collecting high resolution vegetation and topography data, as well as penetrating the water surface with minimal spectral absorption by water. The recorded waveform enables range measurements for all discernible targets for a given pulse. The Leica ALS80 laser system can record unlimited range measurements (returns) per pulse. It is not uncommon for some types of surfaces (e.g., dense vegetation or water) to return fewer pulses to the LiDAR sensor than the laser originally emitted. The discrepancy between first return and overall delivered density will vary depending on terrain, land cover, and the prevalence of water bodies. All discernible laser returns were processed for the output dataset. Table 3 (dataset report) summarizes the settings used to yield an average pulse densityof ≥4.0 points/m2 for green LiDAR returns, and ≥8.0 points/m2 for NIR LiDAR returns over the Middle Fork Willamette River project area. 2015-09-01T00:00:00 Lidar Processing: Upon completion of data acquisition, QSI processing staff initiated a suite of automated and manual techniques to process the data into the requested deliverables. Processing tasks included GPS control computations, smoothed best estimate trajectory (SBET) calculations, kinematic corrections, calculation of laser point position, sensor and data calibration for optimal relative and absolute accuracy, and LiDAR point classification (Table 7). Riegl’s RiProcess software was used to facilitate bathymetric return processing. Once bathymetric points were differentiated, they were spatially corrected for refraction through the water column based on the angle of incidence of the laser. QSI refracted water column points using QSI’s proprietary LAS processing software, LAS Monkey. The resulting point cloud data were classified using both manual and automated techniques. Processing methodologies were tailored for the landscape. 2015-09-30T00:00:00 The NOAA Office for Coastal Management received the lidar data from the Oregon Lidar Consortium. Data were received in NAD83(2011) UTM zone 10 meters with vertical coordinates in NAVD88(GEOID 12A) meters. They were converted to geographic coordinates and ellipsoid heights for ingestion. Metadata was not delivered with the data. This metadata was created from the WSI report. 2020-08-14T00:00:00 Office for Coastal Management processor lidar data Quantum Spatial, Inc. originator The dataset has been mosaiced, reprojected, and clipped as needed from the original input files using PDAL and GDAL commands. 2026-03-26NOAA Office for Coastal Managementcoastal.info@noaa.govprocessor