Data Management Plan

The dataset encompasses 474 square miles in the Ochoco National Forest of Oregon, including portions of Crook, Jefferson, and Wheeler Counties, Oregon. The highest hit digital surface models (DSM) represent the earth's surface with all vegetation and human-made structures included. The DSMs represent the earth's surface with all vegetation and human-made structures included. The highest hit DSMs were derived from lidar data using the highest hit method. The bare earth digital elevation model (DEM) represents the earth's surface with all vegetation and human-made structures removed. The bare earth DEMs were derived from lidar data using TIN processing of the ground point returns. The DSM and DEM grid cell size is 3 international feet. The elevation units are in international feet. Some elevation values have been interpolated across areas in the models where there is no elevation data (e.g. over water, over dense vegetation). Watershed Sciences, Inc.

Ochoco project area, OR

Lineage Statement:
Watershed Sciences Inc. has collected Light Detection and Ranging (LIDAR) data in the Ochoco West Study Area for the Oregon Department of Geology and Mineral Industries (DOGAMI). NOAA OCM has taken the data and ingested it into the Digital Coast Data Access Viewer for distribution.

Process Steps:

• 2013-06-16 00:00:00 - Acquisition. LiDAR data acquisition occured on May 20, 2013 and from June 5 to June 16, 2013. The survey utilized an ALS60 laser system mounted in a Cessna Caravan 208B. 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.
• 2013-07-31 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. (Citation: raw lidar data)
• 2019-09-10 00:00:00 - NOAA/OCM received the data from DOGAMI in Arc Grid format . Data were in NAD83(2011) Oregon Lambert horizontally and NAVD88 (Geoid12a) vertically. All units were international feet. For ingest into the Digital Coast Data Access Viewer and adhere to the Open Data Policy, data were converted to GeoTiff format. (Citation: processed lidar data)

Data is available online for custom downloads

Data is backed up to tape and to cloud storage.