gov.noaa.nmfs.inport:49448 eng UTF8 dataset 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 2024-02-29T00:00:00 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) EPSG::2994 EPSG::8228 2012 Oregon Lidar Consortium (OLC) Lidar DEM: Keno (OR) or2012_olc_keno_dem_m8385_metadata 2017-10-12 publication NOAA/NMFS/EDM 49448 https://www.fisheries.noaa.gov/inport/item/49448 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6354 WWW:LINK-1.0-http--link Point cloud used for this data Custom download facility for the point cloud data that was used to make this DEM. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/6354/supplemental/or2012_olc_keno_m6354_lidar_report.pdf WWW:LINK-1.0-http--link Data Report Data report from the lidar vendor. download Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (LiDAR) data of the Oregon Keno Study Area for the Oregon Department of Geology and Mineral Industries (DOGAMI). The Oregon LiDAR Consortium's (OLC) Keno project area encompasses approximately 200,000 acres in Klamath County near the Oregon-California state border and surrounds a portion of the Klamath River. The data were collected between May 19 - August 17, 2012 with a resolution of eight pulses per square meter. The bare earth Digital Elevation Models (DEMs) are at a 3 ft grid cell size. Provide high resolution terrain elevation and land cover elevation data. DoGAMI, WSI 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 custodian notPlanned EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM) EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > TOPOGRAPHICAL RELIEF MAPS EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION EARTH SCIENCE > SPECTRAL/ENGINEERING > LIDAR theme Global Change Master Directory (GCMD) Science Keywords 17.0 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > OREGON place Global Change Master Directory (GCMD) Location Keywords 20.8 DEMs - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2012 Oregon Lidar Consortium (OLC) Lidar DEM: Keno (OR) [Data Date Range], https://www.fisheries.noaa.gov/inport/item/49448. 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 Access Constraints: None otherRestrictions Use Constraints: In some areas of heavy vegetation and forest cover, there may be relatively few ground points in the LiDAR data. TINing the points produces large triangles and hence the elevations may be less accurate within such areas. In some areas with large bodies of water, competing water surface levels may be visible. This is due to seasonal water level fluctuation and intervals of time between acquisition of an area. 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 Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of the Oregon Department of Geology and Mineral Industries (DOGAMI), the Office for Coastal Management or its partners. unclassified NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 49448 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/49448.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference grid eng; US elevation Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; ESRI ArcGIS 10.0.5.4400 -122.317686 -121.8691 42.002706 42.2747 | Currentness: Ground Condition 2012-05-19 2012-08-17 Zip GeoTIFF 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=8385 WWW:LINK-1.0-http--link Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. download https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/OLC_Keno_DEM_2012_8385/index.html WWW:LINK-1.0-http--link Bulk Download Simple download of data files. download dataset Horizontal Positional Accuracy See link to the lidar report in the Supplemental Information field above. Vertical Positional Accuracy The Root Mean Square Error (RMSE) of the data set is 0.04 meters. Accuracy was assessed using 3,338 ground survey (real time kinematic) points. These ground survey points are distributed through out the OLC Keno study area. See LiDAR data report.; Quantitative Value: 0.04 meters, Test that produced the value: The Root Mean Square Error (RMSE) of the data set is 0.04 meters. Accuracy was assessed using 3,338 ground survey (real time kinematic) points. These ground survey points are distributed through out the OLC Keno study area. See link to the lidar report in the Supplemental Information field above. Completeness Report LiDAR data has been collected and processed for all areas within the project study area. Conceptual Consistency LiDAR flight lines have been examined to ensure that there was at least 60% sidelap, there are no gaps between flightlines, and overlapping flightlines have consistent elevation values. Shaded relief images have been visually inspected for data errors such as pits, border artifacts, gaps, and shifting. The data was examined at a 1:3000 scale. Acquisition. LiDAR data acquisition began May 19, 2012 and was completed August 16, 2012. The survey utilized Leica ALS50 Phase II and ALS60 laser systems mounted in a Cessna Caravan 208B and Partenavia P.38. 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. 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. The NOAA Office for Coastal Management (OCM) received the files in the proprietary ESRI grid format from the Oregon Lidar Consortium. The data were in Oregon Lambert (NAD83 HARN), International Feet coordinates and NAVD88 (Geoid03) vertical feet. OCM performed the following processing to the data to make it available in the Digital Coast: 1. The files were converted from ESRI Grid format to floating point GeoTiff format 2. The vertical units of the data were converted from International feet to meters using gdal_translate from GDAL version 2.1.1.. 2017-09-01T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor Files were converted to cloud optimized geotiff format to support streaming and the vertical units were reverted to feet to match the horizontal units. 2023-08-17T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor DEM files DOGAMI originator