gov.noaa.nmfs.inport:69410 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 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::9674 EPSG::5703 2016 USFS Lidar DEM: Colville National Forest, WA 2016 colville dem m9772 2023-03-03 creation publication NOAA/NMFS/EDM 69410 https://www.fisheries.noaa.gov/inport/item/69410 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/geoid18/9769/supplemental/16062_Aerial_Lidar_Report.pdf WWW:LINK-1.0-http--link Data Report Data report from contractor. download Digital elevation model (DEM) derived from lidar data in the Colville and Idaho Panhandle National Forests covering 1,888 square miles. Collected in 2016 for the U.S. Forest Service. The primary purpose of the lidar survey was to establish measurements of the bare earth surface, as well as top surface feature data for providing geometric inputs for modeling, other numerical modeling and economic related assessments. U.S. Forest Service, Region 6; Atlantic, Inc. 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 custodian notPlanned EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM) theme Global Change Master Directory (GCMD) Science Keywords 17.0 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > WASHINGTON 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 Lidar - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2016 USFS Lidar DEM: Colville National Forest, WA [Data Date Range], https://www.fisheries.noaa.gov/inport/item/69410. 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: None unclassified NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 69410 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/69410.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 -118.1951 -117.8438 48.88558 49 Lidar for this AOI was acquired in forty-one (41) flight missions completed on October 12th, 2016. | Currentness: Ground Condition 2016-10-12 Zip Zip GeoTIFF Uncompressed 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=9772 WWW:LINK-1.0-http--link https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9772 Custom Download of data allowing change of product type, projection, datum, etc. Please use the draw tool to subset. download https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/USFS_Colville_NF_2016_9772/index.html WWW:LINK-1.0-http--link https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/USFS_Colville_NF_2016_9772/index.html Bulk download of tiles. download dataset Horizontal Positional Accuracy The horizontal errors in lidar data are largely a function of GNSS positional error, INS angular error, and flying altitude. Therefore, lidar data collected with GNSS error of 8cm and the IMU error of 0.00427 degrees at an altitude of 1,965m; the expected radial horizontal positional error will be RMSEr = 28.5cm. Vertical Positional Accuracy The fundamental vertical accuracy (95% confidence for bare earth) was 0.130 meters based upon 255 GPS points. Differential GPS unit in aircraft collected positions at 2 Hz. Airborne GPS data was processed using the Inertial Explorer (version 8.60.5025) software. Flights were flown with a minimum of 6 satellites in view (10° above the horizon) and with a PDOP of ≤4 when the laser was online. For all flights, the GPS data can be classified as good, with GPS residuals of 3cm average or better but none larger than 10cm being recorded. Data collected by the lidar unit is reviewed for completeness, acceptable density and to make sure all data is captured without errors or corrupted values. In addition, all GPS, aircraft trajectory, mission information, and ground control files are reviewed and logged into a database. Atlantic used a combination of Waypoint and Leica software products to extract the lidar swath data from the raw flight records. Waypoint Inertial Explorer is used to extract the raw IPAS ABGPS/IMU data, which is further processed in combination with controlled base stations to provide the final Smoothed Best Estimate Trajectory (SBET) for each mission. The SBET’s are combined with the raw laser scan files to export the (*.las) formatted swath point clouds. The calibrated point cloud data from the laser sensor was merged to produce processed (*.las) file(s) including but not limited to 3D position, intensity, and time-stamp. A filtering methodology was utilized to produce a multi-return surface elevation model dataset with bare-earth conditions. GeoCue, TerraScan, and TerraModeler software was used for the initial batch processing and manual editing of the (*.las) point clouds. Outlined in Table 4 are the classification codes utilized for this project. Digital elevation model data were received from the U.S. Forest Service by the NOAA Office for Coastal Management in ERDAS Imagine format. Files were in the USFS Region 6 Albers Projection (EPSG:9674) with vertical NAVD88 meters. Files were converted to cloud optimized GeoTiff format for distribution on the Digital Coast Data Access Viewer. No information was provided regarding the interpolation of the classified point cloud into digital elevation models. 2023-03-03T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor Source Contribution: Data received by NOAA OCM from USFS region 6. Classified point cloud USFS originator