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2011 Oregon Parks and Recreation Department Lidar: Northeast (Clyde Holliday, Cove Palisades, Lake Owyhee, and White River Falls State Parks)

browse graphicThis kmz file shows the extent of coverage of the 2011 OPR Northeast lidar data set.
This data set provides the lidar elevations for four Oregon State Parks. The four state parks are Clyde Holliday (766 square acres) in Grant County, Cove Palisades (15,220 square acres) in Jefferson County, Lake Owyhee (2496 square acres) in Malheur County, and White River Falls (2333 square acres) in Wasco County. This data set was collected on May 5, 6, 11, 31, and June 1, 2011. The lidar data are multiple return and are classified as unclassified and bare earth. The LiDAR survey used a Leica ALS50 Phase II sensor in a Cessna Caravan 208B. The sensor operates with Automatic Gain Control (AGC) for intensity correction. Depending on acquisition day, weather, and terrain, the Leica system was set to acquire 105,000 (120,000 on 6/1/11) laser pulses per second (i.e. 105-120 kHz pulse rate) and flown at 900 (700 on 6/1/11) meters above ground level (AGL), capturing a scan angle of plus or minus 14 degrees from nadir. These settings were developed to yield points with an average native pulse density of greater than or equal to 8 pulses per square meter over terrestrial surfaces. It is not uncommon for some types of surfaces (e.g. dense vegetation or water) to return fewer pulses than the laser originally omitted. These discrepancies between the native and delivered density will vary depending on terrain, land cover, and the prevalence of water bodies. Watershed Sciences, Inc. collected the LiDAR and created this data set for Oregon Parks and Recreation Department.

Cite this dataset when used as a source.

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    Distribution Formats
    • LAZ
    Distributor DOC/NOAA/NOS/CSC > Coastal Services Center, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce
    Point of Contact Brady Callahan
    Oregon Parks and Recreation
    503-986-0783
    brady.callahan@state.or.us
    Associated Resources
    • Lidar Survey Collection Report
    Originator
    • DOC/NOAA/NOS/CSC > Coastal Services Center, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce
    Originator
    • Oregon Parks and Recreation Department
    Publisher
    • DOC/NOAA/NOS/CSC > Coastal Services Center, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce
    Date(s)
    • publication: 2011-12-01
    Data Presentation Form: Digital image
    Dataset Progress Status Complete
    Data Update Frequency: Not planned
    Purpose: Provide high resolution elevation data.
    Use Limitations
    • These data depict the elevations at the time of the survey and are only accurate for that time. 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. Any conclusions drawn from analysis of this information are not the responsibility of NOAA or any of its partners. These data are NOT to be used for navigational purposes.
    Time Period: 2011-05-05  to  2011-05-06
    Spatial Reference System: urn:ogc:def:crs:EPSG::4269 Ellipsoid in Meters
    Spatial Bounding Box Coordinates:
    N: 45.253805
    S: 43.601805
    E: -117.222838
    W: -121.320138
    Spatial Coverage Map:
    Themes
    • Bathymetry/Topography
    • LiDAR
    • Light Detection and Ranging
    • DEM
    • Digital Terrain Model
    • Oregon Parks and Recreation Department
    • Elevation data
    • Topography
    • Bare earth
    • High-resolution
    • Bare ground
    • DTM
    Places
    • United States
    • Oregon
    • Pacific Northwest
    • Clyde Holliday State Park
    • Cove Palisades State Park
    • Lake Owyhee State Park
    • White River Falls State Park
    • Grant County
    • Jefferson County
    • Malheur County
    • Wasco County
    Use Constraints No constraint information available
    Fees Fee information not available.
    Lineage Statement Lineage statement not available.
    Processor
    • DOC/NOAA/NOS/CSC > Coastal Services Center, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce
    • DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce
    Processing Steps
    • Acquisition The LiDAR survey used a Leica ALS50 Phase II sensor in a Cessna Caravan 208B. The sensor operates with Automatic Gain Control (AGC) for intensity correction. Depending on acquisition day, weather, and terrain, the Leica system was set to acquire 105,000 (120,000 on 6/1/11) laser pulses per second (i.e. 105-120 kHz pulse rate) and flown at 900 (700 on 6/1/11) meters above ground level (AGL), capturing a scan angle of plus or minus 14 degrees from nadir. These settings were developed to yield points with an average native pulse density of greater than or equal to 8 pulses per square meter over terrestrial surfaces. It is not uncommon for some types of surfaces (e.g. dense vegetation or water) to return fewer pulses than the laser originally omitted. These discrepancies between the native and delivered density will vary depending on terrain, land cover, and the prevalence of water bodies. All areas were surveyed with an opposing flight line side-lap of greater than or equal to 50 percent (equal to 100 percent overlap) to reduce laser shadowing and increase surface laser painting. The Leica laser systems allow up to four range measurements (returns) per pulse, and all discernible laser returns were processed for the output data set. To accurately solve for laser point position (geographic coordinates x,y,z) the positional coordinates of the airborne sensor and the attitude of the aircraft were recorded continuously throughout the LiDAR data collection mission. Aircraft position was measured twice per second (2 Hz) by an onboard differential GPS unit. Aircraft attitude was measured 200 times per second (200 Hz) as pitch, roll, and yaw (heading) from an onboard inertial measurement unit (IMU). To allow for post-processing correction and calibration, aircraft/sensor position and attitude data were indexed to GPS time.
    • Processing 1. Laser point coordinates were computed using the IPAS and ALS Post Processor software suites based on independent data from the LiDAR system (pulse time, scan angle), and aircraft trajectory data (SBET). Laser point returns (first through fourth) were assigned an associated (x,y,z) coordinate along with unique intensity values (0 to 255). The data were output into large LAS v1.2 files; each point maintains the corresponding scan angle, return number (echo), intensity, and x,y,z (easting, northing, and elevation) information. 2. These initial laser point files were too large for subsequent processing. To facilitate laser point processing, bins (polygons) were created to divide the data set into manageable sizes (less than 500 MB). Flightlines and LiDAR data were then reviewed to ensure complete coverage of the survey area and positional accuracy of the laser points. 3. Laser point data were imported into processing bins in TerraScan and manual calibration was performed to assess the system offsets for pitch, roll, heading, and scale (mirror flex). Using a geometric relationship developed by Watershed Sciences, each of these offsets were resolved and corrected if necessary. 4. LiDAR points were then filtered for noise, pits (artificial low points) and birds (true birds, as well as erroneously high points) by screening for absolute elevation limits, isolated points, and height above ground. Each bin was then manually inspected for remaining pits and birds and spurious points were removed. In a bin containing approximately 7.5 to 9.0 million points, an average of 50 to 100 points are typically found to be artificially low or high. Common sources of non-terrestrial returns are clouds, birds, vapor, haze, decks, brush piles, etc. 5. Internal calibration was refined using TerraMatch. Points from overlapping lines were tested for internal consistency and final adjustments were made for system misalignments (i.e., pitch, roll, heading offsets, and scale). Automated sensor attitude and scale corrections yielded 3 to 5 cm improvements in the relative accuracy. Once system misalignments were corrected, vertical GPS drift was then resolved and removed per flight line, yielding a slight improvement (less than 1 cm) in relative accuracy. 6. The TerraScan software suite is designed specifically for classifying near ground points (Soininen, 2004). The processing sequence began by removing all points that were not near the earth based on geometric constraints used to evaluate multi-return points. The resulting bare earth (ground) model was visually inspected and additional ground point modeling was performed in site-specific areas to improve ground detail. This manual editing of ground often occurs in areas with known ground modeling deficiencies such as: bedrock outcrops, cliffs, deeply incised stream banks, and dense vegetation. In some cases, automated ground point classification erroneously included known vegetation (i.e., understory, low/dense shrubs, etc.). These points were manually reclassified as non-grounds. Ground surface rasters were developed from triangulated irregular networks (TINs) of ground points.
    • The NOAA Coastal Services Center (CSC) received the files in las format. The files contained lidar elevation and intensity measurements. The data were in Lambert Conformal Conic projection and NAVD88 Geoid 03 vertical datum. CSC performed the following processing for data storage and Digital Coast provisioning purposes: 1. The data were converted from Lambert Conformal Conic coordinates to geographic coordinates (NAD83). 2. The data were converted from NAVD88 (orthometric) heights in feet to GRS80 (ellipsoid) heights in meters using Geoid 03. 3. The data were filtered to remove outliers. 4. 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 http://www.csc.noaa.gov/digitalcoast/. 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 (http://www.laszip.org/). 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: 2013-06-14

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