Nearshore Bathymetry Estimation using Unmanned LiDAR Payloads
Abstract
The Naval services are facing a significant challenge due to the increasing need for access to the littorals. However, conventional surveying and mapping methods have their limitations and challenges. This research examined how Light Detection and Ranging (LiDAR) sensors, especially near-infrared (NIR) LiDAR, can provide a standalone solution to estimate nearshore bathymetry. This approach shows a promising path to improving coastal access capabilities for intelligence collection. The data collection involved unmanned aerial system (UAS) that were equipped with LiDAR payloads. These UAS scanned specific coastal sections at consistent altitudes with varied velocities (2-5 m/s). The data collected underwent processing with LiDAR-specific software tools and finally a custom MATLAB algorithm developed during this research. The results showed that NIR LiDAR could approximate surf zone bathymetry with some degree of accuracy, especially when flying at higher speeds (5 m/s). However, at slower velocities (2 m/s), there was a tendency to overestimate bathymetry. The viability of this approach was validated by comparing the obtained results with offshore echo sounder bathymetry measurements and onshore LiDAR elevation data. The combination of these data sources produced a compelling proof-of-concept visualization, illustrating the potential of NIR LiDAR as a valuable tool for enhancing coastal mapping and surveying capabilities.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2023
- Accession Number
- AD1224622
Entities
People
- Justin A. Ii Crisp
Organizations
- Naval Postgraduate School