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2007 Oregon Department of Forestry (ODF) Northwest Oregon Lidar

This lidar dataset encompasses two areas in northwest Oregon. The northern area is located in Clatsop County, encompassing Clatsop State Forest ownership; the southern area is located in Tillamook, Washington and Yamhill Counties, encompassing areas of the Tillamook State Forest. The LiDAR data was collected April 25-28, May 1 and May 3-9, 2007. The lidar data are multiple return and bare earth classified. The survey used a Leica ALS50 Pase II laser system mounted in a Cessna Caravan 208. LiDAR flight lines have been examined to ensure that there was at least 50% sidelap, there are no gaps between flightlines, and overlapping flightlines have consistent elevation values. 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. Elevation values for open water surfaces are not valid elevation values because few LiDAR points are returned from water surfaces. Watershed Sciences, Inc. collected the LiDAR and created this data set for the Oregon Department of Forestry and the Puget Sound LiDAR Consortium.

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    Distribution Formats
    • LAZ
    Distributor Distributor information not available
    Point of Contact Ian Madin
    Oregon Department of Geology and Mineral Industries (DOGAMI)
    Associated Resources
    • Lidar Dataset Supplemental Information
    • Oregon Department of Forestry (ODF)
      • publication: 2007-01-01
      Data Presentation Form: Digital image
      Dataset Progress Status Complete
      Data Update Frequency: Not planned
      Purpose: Provide high resolution terrain elevation and land cover elevation data.
      Time Period: 2007-04-25  to  2007-05-09
      Spatial Reference System:
      Spatial Bounding Box Coordinates:
      N: 45.877991
      S: 45.747008
      E: -123.244023
      W: -123.381263
      Spatial Coverage Map:
      • Topography/Bathymetry
      • LiDAR
      • Light Detection and Ranging
      • DEM
      • Digital Terrain Model
      • Elevation
      • Topography
      • High-resolution
      • Bare earth
      • Bare ground
      • DTM
      • Vegetation
      • Land cover
      • Oregon Department of Forestry
      • Watershed Sciences
      • Puget Sound LiDAR Consortium
      • United States
      • Oregon
      • Pacific Northwest
      • Yamhill County
      • Washington County
      • Tillamook County
      • Clatsop County
      • Coast Range
      • Tillamook State Forest
      • Clatsop State Forest
      Use Constraints No constraint information available
      Fees Fee information not available.
      Lineage Statement Lineage statement not available.
      • DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce
      Processing Steps
      • Acquisition. The LiDAR data was collected April 25-28, May 1, and May 3-9, 2007. This was a leaf-off condition. A Leica ALS50 LiDAR system was mounted in a fixed-wing aircraft and flown 900 meters above ground level (AGL). A pulse rate (PR) of 105 kHz with at least 100% overlap (minimum 50% side-lap) was used. Greater than 8 points per square meter and 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 Processing software and IPAS 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 broken into 7.5 minute quads and output as laser points, TINed and GRIDed surfaces. 10. The highest hit method was used to create a vegetation DEM.
      • The NOAA Coastal Services Center (CSC) received the files in las format. The files contained Lidar elevation and intensity measurements. The data was in Lambert Conformal Conic and Oregon Lambert projections and NAVD88 Geoid 03 vertical datum. CSC performed the following processing to the data to make it available within Digital Coast: 1. The data were converted from Lambert Conformal Conic/Oregon Lambert coordinates to geographic coordinates. 2. The data were converted from NAVD88 (orthometric) heights to GRS80 (ellipsoid) heights using Geoid 03. 3. The LAS data were sorted by latitude and the headers were updated.
      • The NOAA National Geophysical Data Center (NGDC) received lidar data files via ftp transfer from the NOAA Coastal Services Center. The data are currently being served via NOAA CSC Digital Coast at The data can be used to re-populate the system. The data are archived in LAS or LAZ format. The LAS format is an industry standard for LiDAR data developed by the American Society of Photogrammetry and Remote Sensing (ASPRS); LAZ is a loseless compressed version of LAS developed by Martin Isenburg ( The data are exclusively in geographic coordinates (either NAD83 or ITRF94). The data are referenced vertically to the ellipsoid (either GRS80 or ITRF94), allowing for the ability to apply the most up to date geoid model when transforming to orthometric heights.

      Metadata Last Modified: 2013-06-07

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