Data Management Plan

WSI has collected Light Detection and Ranging (LiDAR) data of the Rogue River Study Area for the Oregon Department of Geology and Mineral Industries (DOGAMI), encompassing portions of Coos, Curry, Douglas, Jackson, and Josephine Counties. The Oregon LiDAR Consortium's Rogue River project area encompasses approximately 1.4 million acres in the southwestern region of the state. The area includes portions of the Siskiyou National Forest, the City of Grants Pass and the Rogue River.

The collection of high resolution geographic data is part an ongoing pursuit to amass a library of information accessible to government agencies as well as the general public. Several agencies including DOGAMI, BLM, and FEMA contributed to the funding of the project. Between March 6th and August 16th, 2012, WSI employed remote-sensing lasers in order to obtain a total of 868,375 acres of data delivered to date. The latest delivery data covered a total area of 338,349 acres of which 333,066 acres lie within the Area of Interest. Final products created include LiDAR point cloud data, 1 meter digital elevation models of bare earth ground model and highest-hit returns, hydro-flattened raster data sets, intensity rasters, hydrologic shapefiles, area vector shapes, and corresponding statistical data.

Original contact information:

Contact Name: Jacob Edwards

Contact Org: DOGAMI

Phone: 971-673-1557

Email: jacob.edwards@oregon.gov

Process Steps:

• 2012-01-01 00:00:00 - 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.
• 2012-01-01 00:00:00 - 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.
• 2017-09-01 00:00:00 - The NOAA Office for Coastal Management (OCM) received the point cloud LAS files from DOGAMI. The files contained Lidar elevation and intensity measurements. The data were in Oregon Lambert (NAD83 2011 Epoch 2010.0), International Feet coordinates and NAVD88 (Geoid12a) vertical feet. OCM performed the following processing to the data to make it available within the Digital Coast: 1. The data were converted from Oregon Lambert (NAD83), International Feet coordinates to geographic coordinates. 2. The vertical units of the data were converted from International feet to meters. 3. The data were converted from NAVD88 (orthometric) heights to NAD83(2011) ellipsoid heights using Geoid12a grids. In the process of converting the data, three data files were found to be corrupt. They were files: 42122B8106.las, 42123B1410.las, 42123C6405.las, all from Delivery 1. These files have been removed. This metadata record was generated from a combination of the project report and the original metadata.

This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer

;