Data Management Plan (Deprecated)

The Diablo Canyon Power Plant (DCPP) LiDAR and Imagery datasets are comprised of three separate LiDAR surveys: Diablo Canyon (2010), Los Osos (2011), and San Simeon (2013). The DCPP San Simeon project study area is located primarily in San Luis Obispo County, California, encompasses approximately 195,000 acres (801 km2), and measures 75 miles in length. Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (LiDAR) data and orthophotography across the DCPP San Simeon survey area from 29 January 2013 to 25 February 2013. For optimal capture of the intertidal zone, WSI acquired LiDAR data of the coastline during seasonal low tides between 7 February 2013 and 10 February 2013. The LiDAR survey utilized a Leica ALS70 sensor in a Cessna Caravan, and an Optech Orion sensor in a Bell Long Ranger. The Leica system was used for acquisition of the inland portion of the study area. It was set to acquire 240,000 laser pulses per second (i.e., 240 kHz pulse rate) and flown at 1,100 meters above ground level (AGL), capturing a scan angle of +/- 15 degrees from nadir. The Orion system was used to acquire the intertidal portion of the study area. It was set to acquire 175,000 laser pulses per second and flown at 300 meters AGL; capturing a scan angle of +/- 13 degrees from nadir. Both laser systems were programmed to yield an average native pulse density of more than 8 pulses per sq meter over terrestrial surfaces. Digital orthophotos were collected using a 260 megapixel ultra large format digital aerial camera. Image radiometric values were calibrated to specific gain and exposure settings associated with each capture using Microsoft's UltraMap software suite. The calibrated images were saved in TIFF format for input to subsequent processes. Photo position and orientation were calculated by linking the time of image capture, the corresponding aircraft position and attitude, and the smoothed best estimate of trajectory (SBET) data in POSPAC. Within the Inpho software suite, automated aerial triangulation was performed to tie images together and to align with ground control. The orthophotos were delivered in 0.375 USGS tiles with a 3 inch pixel resolution. This survey was flown in conjunction with the DCPP Senior Seismic Hazard Analysis Committee (SSHAC) Level 3 process and as part of the DCPP Long-Term Seismic Program (LTSP). In addition to aerial LiDAR data, DEM and orthophotography raster data are available for this area: San Simeon DEMs and Orthophotos.

Process Steps:

• Classify ground-level features and create the ground model. After the ground model has been created and examined for correctness, vegetation points above 8 feet are then classified using a combination of automated and manual techniques. Once vegetation is classified in the LiDAR point cloud, automated techniques are used to delineate individual units of vegetation. These automated techniques utilize the unique point geometry of vegetation to segment the individual units of vegetation and create crown polygons representing them. The polygons representing individual units of vegetation (crown) are then aggregated with adjacent polygons to produce polygons representing stands. Classify remaining points as default and check for accuracy before finalizing the point classification portion of the project.
• 2014-05-01 00:00:00 - The NOAA Office for Coastal Management (OCM) received the files in laz format via download from the OpenTopography online repository. The files contained lidar elevation and intensity measurements. The data were in UTM Zone 10, NAVD88 (orthometric) heights in feet. OCM performed the following processing for data storage and Digital Coast provisioning purposes: 1. The data were converted from UTM 10 coordinates to geographic coordinates. 2. The data were converted from NAVD88 (orthometric) heights in feet to GRS80 (ellipsoid) heights in meters using Geoid 12A. 3. The LAS data were sorted by latitude and the headers were updated.

This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=3652

The data set is dynamically generated based on user-specified parameters.;