2011 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Pine Creek Study Area

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This graphic shows the lidar coverage for the Pine Creek Study Area.

Date that the source FGDC record was last modified.

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.

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No metadata for the lidar point data was provided to NOAA OCM with this data set. The following process step contains information

derived from the metadata record for the DEM (Digital Elevation Model), which is a product of the lidar point data, and the Watershed

Sciences, Inc. lidar report. This lidar report may be accessed at:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1415/supplemental/OLC_PineCreek.pdf

Acquisition

1. The lidar data were collected between May 19 - 20, 2011.

2. The survey used a Leica ALS50 Phase II system mounted in a Cessna Caravan 208B.

3. Near nadir scan angles were used to increase penetration of vegetation to ground surfaces.

4. 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 las format. The files contained LiDAR

elevation and intensity measurements. The data were in OGIC (HARN), Oregon Statewide Lambert Conformal Conic projection,

NAVD88 (Geoid03) vertical datum and units in International Feet. OCM performed the following processing for data storage

and Digital Coast provisioning purposes:

1. The data were converted from OGIC(HARN) NAD83 coordinates to geographic coordinates.

2. The data were converted from NAVD88 (orthometric) heights to GRS80 (ellipsoid) heights using Geoid03.

3. The data were converted from International Feet to meters

4. The data were sorted by time and zipped to laz format.