49406 2012_OLC_RogueRiver_dem_m6370_metadata Data Set Published / External 49404 DEMs - partner (no harvest) Project Completed 2017 The dataset encompasses portions of Coos, Curry, Douglas, Jackson, and Josephine Counties.The bare earth digital elevation model (DEM) represents the earth's surface with all vegetation and human-made structures removed. The bare earth DEMs were derived from LiDAR data using TIN processing of the ground point returns. The DEM grid cell size is 3 international feet. The elevation units are in international feet. Some elevation units have been interpolated across areas in the ground model where there is no elevation data (e.g. over water, over dense vegetation).WSI collected the LiDAR and created this data set for the Oregon Department of Geology and Mineral Industries (DoGAMI). Original contact information: Contact Name: Jacob Edwards Contact Org: DOGAMI Phone: 971-673-1557 Email: jacob.edwards@oregon.gov Provide high resolution terrain elevation and land cover elevation data. 12070 A final report for this project may be viewed at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/6369/supplemental/OLC_Rogue_Report_Final_121016.pdf Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > TOPOGRAPHICAL RELIEF MAPS Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION Theme ISO 19115 Topic Category elevation Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > OREGON Theme DEM Theme DTM Theme DoGAMI Theme Light Detection and Ranging Theme bare earth Theme bare ground Theme high-resolution Office for Coastal Management Charleston SC Data Set None Planned Map (digital) 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. DoGAMI, WSI Data Steward 2017 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 2017 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 Metadata Contact 2017 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 2017 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 -123.829671 -123.748218 42.627359 42.58961 Range 2012-03-08 2012-08-16 Yes 2 Area No Row 4304 Column 7144 Projected EPSG:2994 NAD83(HARN) / Oregon GIC Lambert (ft) NAD83 (High Accuracy Reference Network) GRS 1980 6378137 298.257222101 NAD83(HARN) Oregon GIC Lambert (International feet) Lambert Conic Conformal (2SP) 1 Easting X foot east Vertical EPSG:8228 NAVD88 height (ft) North American Vertical Datum 1988 1 Gravity-related height H foot up Unclassified This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer ; None 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. https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6370 2017 Organization NOAA Office for Coastal Management Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. Zip https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/OLC_rogue_river_2012_6370/index.html 2017 Organization NOAA Office for Coastal Management Bulk Download Simple download of data files. GeoTIFF GeoTIFF https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/6369/supplemental/OLC_Rogue_Report_Final.pdf Final report Online Resource pdf Report from the lidar vendor https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/laz/geoid18/6369/supplemental/index.html Supplemental info page Online Resource Web page of other reports and trajectory information 2017-10-19 Date that the source FGDC record was last modified. 2017-11-14 Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details. 2018-02-08 Partial upload of Positional Accuracy fields only. 2018-02-13 Partial upload to move data access links to Distribution Info. Within 30cm based on sensor specifications. The Root Mean Square Error (RMSE) of the data set is 0.05 meters. Accuracy was assessed using 19,453 ground survey (real time kinematic) points. These ground survey points are distributed through out the OLC Rogue River study area. See LiDAR data report.; Quantitative Value: 0.05 meters, Test that produced the value: Root mean square error in meters. Lidar data has been collected and processed for all areas within the project study area. 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. 1 Acquisition. LiDAR data acquisition began March 8, 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. 2012-01-01T00:00:00 2 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. 2012-01-01T00:00:00 3 The NOAA Office for Coastal Management (OCM) received the files in the proprietary ESRI grid format. The files were converted to floating point GeoTIFF format in vertical meters using gdal_translate from GDAL version 2.1.1. 2017-05-01T00:00:00 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 4 Files were converted to cloud optimized geotiff format to support streaming and the vertical units were reverted to feet to match the horizontal units. 2023-08-16T00:00:00 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 gov.noaa.nmfs.inport:49406 Anne Ball 2017-11-15T15:12:58 Kirk Waters 2024-01-10T18:58:33 2024-01-10 OCM Partners OCMP 1002 Public No No 2022-03-16 1 Year 2023-03-16