Data Management Plan

In late March of 2017, Quantum Spatial (QSI) was contracted by the Oregon LiDAR Consortium (OLC) to collect topobathymetric Light Detection and Ranging (LiDAR) data in the early spring of 2017 for the New River, OR site along the southwestern Oregon coast. The area of interest stretches along New River, which runs parallel with the Oregon coast. Data were collected to aid OLC in assessing the topographic and geophysical properties of the study area along the river’s course.

The topobathymetric bare earth digital elevation model (DEM) represents the earth's surface with all water, vegetation and anthropogenic features removed. It was derived from Green LiDAR data using TIN processing of the ground and bathymetric bottom point returns. This version of the topobathymetric model has not been clipped. Areas of bathymetric voids were triangulated from the nearest bathymetric returns. Users should be aware that bathymetric voids can indicate deeper areas beyond the penetration capabilities of the laser and view these as low confidence areas. A bathymetric coverage polygon has been provided as a separate deliverable indicating where there was a lack of bathymetric returns. The horizontal datum for this dataset is NAD83 (2011), the vertical datum is NAVD88, Geoid 12A, and the data is projected in UTM Zone 10 North. Units are in Meters. Quantum Spatial collected the New River, OR Topobathymetric LiDAR data for the Oregon LiDAR Consortium on 04/04/17.

Process Steps:

• 2017-04-04 00:00:00 - Acquisition. Quantum Spatial collected the New River, OR Topobathymetric LiDAR data on 04/04/17. The survey used a Riegl VQ-880-G laser system mounted in a Cessna Caravan. Ground level GPS and aircraft IMU were collected during the flight. Sensor: Riegl VQ-880-G Maximum returns: Unlimited Nominal pulse density: 6 pulses/m^2 Nominal pulse spacing: 0.408 m AGL: 372 m Speed: 110 knots FOV: 40 degrees Scan frequency: 50 hz Pulse rate: 245 kHz Pulse duration: 1.2 ns Pulse width: 0.26 cm Wavelength: 532 nm Pulses in air mode: Multiple Pulses in Air Beam divergence: 1 mrads Swath width: 290 m Overlap: 60%
• 2017-06-10 00:00:00 - 1. Flightlines 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 Waypoint Inertial Explorer and RiProcess software based on independent data from the LiDAR system, IMU, and aircraft. 3. The raw LiDAR file was assembled into flightlines 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 flightlines. 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. Data was processed with a combination of manual and automated techniques using both Riegl software and in-house proprietary software to refract water returns and classify ground and bathymetric returns. 7. Noise (e.g., pits and birds) was filtered using post-processing software, based on known elevation ranges and included the removal of any cycle slips. 8. Using TerraScan and Microstation, ground classifications utilized custom settings appropriate to the study area. 9. The corrected and filtered return points were compared to the RTK ground survey points collected to verify the vertical accuracy. 10. TIN processing of the ground and bathymetric bottom point returns was used to create this interpolated bare earth DEM (Citation: Processed Topobathy Lidar)
• 2019-11-15 00:00:00 - NOAA/OCM received the data from DOGAMI in ESRI Grid format. Data were in NAD83(2011) UTM zone 10N and NAVD88 (Geoid12a) vertically. All units were meters. For ingest into the Digital Coast Data Access Viewer data were converted to cloud-optimized GeoTiff format (COGs).

Data is available online for bulk or custom downloads

Data is backed up to tape and to cloud storage.