Data Management Plan

Geographic Extent: San Diego, California, covering approximately 1,617 square miles.

Dataset Description: San Diego, California 2015 QL2 LiDAR project called for the planning and acquisition of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1.2. The data was initially developed based on a horizontal projection/datum of NAD83 (2011) State Plane California VI, US survey feet and vertical datum of NAVD1988 (GEOID12B), US survey feet, but has had projection and vertical datum changed. Lidar data was delivered in RAW flight line swath format, processed to create Classified LAS 1.4 Files formatted to 2,045 individual 2,500-foot x 2,500-foot tiles. Data was been

Ground Conditions: Lidar was collected in late 2015, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications, Quantum Spatial established 39 calibration control points in order to calibrate the lidar to known ground locations established throughout the project area. The accuracy of the data was checked with 119 QC points.

Process Steps:

• 2015-01-01 00:00:00 - Classified LAS Processing: The bare earth surface is then manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS Class 2) LiDAR data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 3 feet was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 10). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes by USGS. Overlap points were flagged using the overlap bit, per LAS 1.4 specifications. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper was used as a final check of the bare earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files for both the All Point Cloud Data and the Bare Earth. Photo Science proprietary software was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics and full LAS header information.
• 2018-10-02 00:00:00 - Data were obtained from the USGS in LAZ format, NAD83(2011) California State Plane VI (FIPS 0406) projection and NAVD88(Geoid12b) vertical feet. For ingestion into the Digital Coast Data Access Viewer, the data were projected to geographic coordinates and reduced to ellipsoid heights in meters by removing the geoid12b model.

Data is available online for custom downloads