73006 or2020_harn_silv_crk_m10147_metadata Data Set Published / External 49401 Lidar - partner (no harvest) Project Completed 2020 2023 Product: These lidar data are processed Classified LAS 1.4 files, formatted to individual 3000 ft x 3000 ft tiles; used to create intensity images, 3D breaklines and hydro-flattened DEMs as necessary. The 2020 Harney - Silver Creek project is composed of legacy and new collection LiDAR data. The 2020 (new) portion of this project was acquired between July 27 and 28, 2020 and this metadata record describes that data. The legacy datasets include 2015 Harney, 2017 OLC Silver Creek, and 2018 Harney lidar data and are not part of this metadata record. Settings for LiDAR data capture produced an average resolution of at least eight pulses per square meter. Vertical accuracy was assessed and reported for newly collected data, legacy data, and combined data sources. Geographic Extent: The dataset is located primarily in Harney County, Oregon, but small portions extend into Crook County and Grant County. Dataset Description of the Original Data: The 2020 Harney - Silver Creek project is composed of legacy and new collection LiDAR data. The 2020 (new) portion of this project was acquired between July 27 and 28, 2020 and this metadata record describes that data. The legacy datasets include 2015 Harney, 2017 OLC Silver Creek, and 2018 Harney lidar data and are not part of this metadata record. This project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. The native projection is Lambert Conic Conformal, units are in International feet. The native horizontal datum is North American Datum of 1983 (NAD83(2011)); the native vertical datum is North American Vertical Datum of 1988 (NAVD88); (Geoid 12B). Lidar data were delivered as processed Classified LAS 1.4 files, formatted to individual 3000 ft x 3000 ft tiles, and as tiled hydro-flattened bare earth DEMs; all tiled to the same 3000 ft x 3000 ft schema. Points that were determined to be geometrically invalid, or invalid surface returns, were removed from the data set. Ground Conditions: 2020 Lidar was collected between July 27 and July 28, 2020, while no snow was on the ground and rivers were at or below normal levels. The Raw Swath NVA were tested with checkpoints located in bare earth and urban (non-vegetated) areas. These checkpoints were not used in the calibration or post processing of the lidar point cloud data. Quantum Spatial Inc. collected the lidar and created this dataset in partnership with the Oregon Department of Geology and Mineral Industries (DOGAMI). 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 Entwine Point Tiles (EPT) hosted by USGS on Amazon Web Services. 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: Quantum Spatial, Inc. All ground survey data, Lidar data acquisition, calibration, and follow-on processing were completed by the prime contractor, Quantum Spatial, Inc. The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : "U.S. Geological Survey (USGS) - National Geospatial Program (NGP) Lidar Base Specification v1.3", "ldrsens" : "Riegl 1560i", "ldrmaxnr" : "unlimited", "ldrnps" : "0.29 m", "ldrdens" : "12 PPSM", "ldranps" : "0.29 m", "ldradens" : "12 PPSM", "ldrfltht" : "1950 m", "ldrfltsp" : "140 kts", "ldrscana" : "58.5 degrees", "ldrscanr" : "344", "ldrpulsr" : "2000 kHz", "ldrpulsd" : "3 ns", "ldrpulsw" : "0.25 m", "ldrwavel" : "1064 nm", "ldrmpia" : "1", "ldrbmdiv" : "0.25 mrad", "ldrswatw" : "2000 m", "ldrswato" : "60%", "ldrgeoid" : "Geoid 12B" }, "ldraccur" : { "ldrchacc" : "0.0", "rawnva" : "0.0", "rawnvan" : "0.0" }, "lasinfo" : { "lasver" : "1.4", "lasprf" : "6", "laswheld" : "Not applicable", "lasolap" : "Not applicable", "lasintr" : "16", "lasclass" : { "clascode" : "1", "clasitem" : "Processed, but Unclassified" }, "lasclass" : { "clascode" : "2", "clasitem" : "Bare-Earth Ground" }, "lasclass" : { "clascode" : "7", "clasitem" : "Low Noise" }, "lasclass" : { "clascode" : "9", "clasitem" : "In-land Water" }, "lasclass" : { "clascode" : "17", "clasitem" : "Bridge Decks" }, "lasclass" : { "clascode" : "18", "clasitem" : "High Noise" }, "lasclass" : { "clascode" : "20", "clasitem" : "Ignored Grounds Near Breakline" } }} Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN 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) 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. Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners. Acknowledgment of Oregon Department of Geology and Industries (DOGAMI) would be appreciated for products derived from these data. Data Steward 2024 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 2024 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 2023 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 2024 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 2024 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 -119.840942 -119.13 43.986658 43.45 Range 2020-07-27 2020-07-28 No Yes No No No Yes 14732132937 Projected EPSG:3857 WGS 84 / Pseudo-Mercator World Geodetic System 1984 WGS 84 6378137 298.257223563 WGS 84 Popular Visualisation Pseudo-Mercator Popular Visualisation Pseudo Mercator Latitude of natural origin 0° 0' 0" N Longitude of natural origin 0° 0' 0" E False easting 0 metre False northing 0 metre 1 Easting X metre east 2 Northing Y metre north Vertical EPSG:5703 NAVD88 height North American Vertical Datum 1988 1 Gravity-related height H metre up Custom 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=10147/details/10147 2024 Organization NOAA Office for Coastal Management 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. Not Applicable Zip https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/OR_HarneySilver_2020_A20/OR_HarneySilver_4_2020/LAZ/ 2023 Organization U.S. Geological Survey Bulk Download Bulk download of data files in LAZ format, Oregon GIC Lambert NAD83(2011) international feet coordinates and NAVD88 (Geoid12B) elevations in feet. LAS/LAZ - LASer LAZ 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_HarneySilver_2020_A20/OR_HarneySilver_4_2020/reports/2020_OLC_Harney_Silver_Creek_Technical_Report.pdf Lidar Report Online Resource pdf Link to the lidar report. https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/OR_HarneySilver_2020_A20/USGS_OR_HarneySilver_2020_A20_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_HarneySilver_2020_A20/OR_HarneySilver_4_2020/ USGS Additional Info Online Resource Link to the reports, breaklines, metadata, and spatial metadata. https://s3-us-west-2.amazonaws.com/usgs-lidar-public/OR_HarneySilver_4_2020/ept.json USGS 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://usgs.entwine.io/data/view.html?r=%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/OR_HarneySilver_4_2020%22 USGS 3D View Online Resource Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer. LiDAR Mapping Suite 2.4, Applanix PosPac 7.1, Microstation Connect, TerraScan Version 19, TerraModeler Version 19, TerraMatch Version 19, ESRI ArcGIS 10.3.1, Windows 10 Operating System 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 Vertical Accuracy Tested NVA RMSEz = 3.88 cm Tested 95th percentile value for VVA is: 8.2 cm For more information see the USGS project report and the lidar report. The links to these reports are provided in the URL section of this metadata record. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. Data covers the entire area specified for this project. Yes Unknown Yes NCEI-NC Data is backed up to cloud storage. The NOAA Office for Coastal Management (OCM) ingested references to the USGS Entwine Point Tiles (EPT) hosted on Amazon Web Services (AWS) into the Digital Coast Data Access Viewer (DAV). The DAV accesses the point cloud as it resides on AWS under the usgs-lidar-public-container. USGS AWS Entwine Point Tile (EPT) Organization USGS Publisher https://usgs.entwine.io/data/view.html?r=%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/OR_HarneySilver_4_2020%22 Entwine Point Tile (EPT) 1 2020 Lidar data acquisition occurred between July 27, 2020 and July 28, 2020. Please see reports from the 2015 OLC Harney, 2017 OLC Silver Creek, and 2018 OLC Harney projects for acquisition details specific to those projects. The 2020 survey utilized the Riegl 1560i laser systems mounted in a Cessna 208-B Grand Caravan. Near nadir scan angles were used to increase penetration of vegetation to ground surfaces. Ground level GPS and aircraft IMU were collected during the flight. Processing.1. Airborne GPS and IMU data were merged to develop a Single Best Estimate (SBET) of the lidar system trajectory for each flight line. Flight lines and data were reviewed to ensure complete coverage of the study area and positional accuracy of the laser points. 2. Laser point return coordinates were computed using ALS Post Processor software and IPAS Pro GPS/INS software, based on independent data from the LiDAR system, IMU, and aircraft. 3. The raw LiDAR file was assembled into flight lines per return with each point having an associated x, y, and z coordinate. 4. Visual inspection of swath to swath laser point consistencies within the study area were used to perform manual refinements of system alignment. 5. Custom algorithms were designed to evaluate points between adjacent flight lines. Automated system alignment was computed based upon randomly selected swath to swath accuracy measurements that consider elevation, slope, and intensities. Specifically, refinement in the combination of system pitch, roll and yaw offset parameters optimize internal consistency. 6. Noise (e.g., pits and birds) was filtered using ALS postprocessing software, based on known elevation ranges and included the removal of any cycle slips. 7. Using TerraScan and Microstation, ground classifications utilized custom settings appropriate to the study area. 8. The corrected and filtered return points were compared to the RTK ground survey points collected to verify the vertical and horizontal accuracies. 9. Points were output as laser points, TINed and GRIDed surfaces. 2020-07-31T00:00:00 2 Lidar Post-Processing: The calibrated and controlled lidar swaths were processed using automatic point classification routines in proprietary software. These routines operate against the entire collection (all swaths, all lifts), eliminating character differences between files. Data were then converted from Las 1.2 to Las 1.4 and lidar intensities were scaled from 8-bit to 16-bit. Time stamps were adjusted from Minutes of the Week to GPS Standard Time, and the classification scheme was adjusted to include class 9, In-land Water, in the dataset. RGB extraction of las to point cloud was performed using Terraphoto. Data were then distributed as virtual tiles to experienced lidar analysts for localized automatic classification, manual editing, and peer-based QC checks. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project. All classification tags were stored in the original swath files. After completion of classification and final QC approval, the NVA and VVA for the project were calculated. Upon acceptance, the complete classified lidar swath files were delivered to the client. Points that were determined to be geometrically invalid, or invalid surface returns, were removed from the data set. 2020-07-31T00:00:00 3 Original point clouds in LAS/LAZ format were restructured as Entwine Point Tiles and stored on Amazon Web Services. The data were re-projected horizontally to WGS84 web mercator (EPSG 3857) and the vertical units were converted to meters (NAVD88 Geoid12B). Organization U.S. Geological Survey 12201 Sunrise Valley Drive Reston VA 20191 USA https://usgs.gov USGS Home Home page for USGS Online Resource 4 The NOAA Office for Coastal Management (OCM) created references to the Entwine Point Tiles (EPT) that were ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the point cloud as it resides on Amazon Web Services (AWS) under the usgs-lidar-public container. This is the AWS URL being accessed: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/OR_HarneySilver_4_2020/ept.json 2024-06-27T00:00:00 Organization Office for Coastal Management OCM https://ror.org/05v14bq57 2234 South Hobson Avenue Charleston SC 29405-2413 https://www.coast.noaa.gov/ 73687 Data Set Cross Reference gov.noaa.nmfs.inport:73006 Rebecca Mataosky 2024-06-27T20:17:52 SysAdmin InPortAdmin 2026-03-04T19:17:17 2024-07-02 OCM Partners OCMP 1002 Public No No 2024-07-02 1 Year 2025-07-02