Near Real-Time Collection, Processing, and Publication of Beach Morphology and Oceanographic LIDAR Data

Tristan Dyer, U.S. Army Corps of Engineers Research and Development Center, Coastal & Hydraulics Laboratory, Duck, NC, United States; North Carolina State University, Department of Civil Engineering, Raleigh, NC, United States, Katherine L Brodie, US Army Corps of Engineers, Coastal & Hydraulics Laboratory, Field Research Facility, Duck, NC, United States and Nicholas Spore, US Army Corps of Engineers, ERDC - CHL - COAB, Jacksonville, FL, United States
Abstract:
Modern LIDAR systems, while capable of providing highly accurate and dense datasets, introduce significant challenges in data processing and end-user accessibility. At the United States Army Corps of Engineers Field Research Facility in Duck, North Carolina, we have developed a stationary LIDAR tower for the continuous monitoring of the ocean, beach, and foredune, as well as an automated workflow capable of providing scientific data products from the LIDAR scanner in near real-time through an online data portal. The LIDAR performs hourly scans, taking approximately 50 minutes to complete and producing datasets on the order of 1GB. Processing of the LIDAR data includes coordinate transformations, data rectification and coregistration, filtering to remove noise and unwanted objects, gridding, and time-series analysis to generate products for use by end-users. Examples of these products include water levels and significant wave heights, virtual wave gauge time-series and FFTs, wave runup, foreshore elevations and slopes, and bare earth DEMs. Immediately after processing, data products are combined with ISO compliant metadata and stored using the NetCDF-4 file format, making them easily discoverable through a web portal which provides an interactive map that allows users to explore datasets both spatially and temporally. End-users can download datasets in user-defined time intervals, which can be used, for example, as forcing or validation parameters in numerical models. Funded by the USACE Coastal Ocean Data Systems Program.