Author(s): Jaehak Kim; Junsu Kim; Yujin Cheon
Linked Author(s):
Keywords: Drone based Bathymetric LiDAR Dual wavelength Laser Parameter Optimization
Abstract: The development of a drone-based bathymetric LiDAR system for river management involves rigorous parameter optimization to achieve precise measurements across a range of water depths and environmental conditions. This study presents the EYAS system, a domestically developed bathymetric LiDAR equipped with dual-wavelength lasers (1064nm for surface detection and 532nm for deeper penetration), which has been optimized through simulation to ensure data accuracy and safe operation. Detectibility and NOHD (Nominal Ocular Hazard Distance) simulations allowed for the fine-tuning of pulse width, frequency, beam divergence, and single pulse energy, resulting in a 1064nm pulse width of 1.16 ns and 532nm pulse width of 2 ns, with a pulse frequency of 15 Hz and 20 kHz, respectively. Field tests on the Danyang River, characterized by variable depths and turbidity, revealed that the system achieved a mean error of 0.281m in shallow depths (0-1m), with a maximum error of 0.301m and a minimum error of 0.251m. At depths between 1-2m, errors reduced to an average of 0.164m, ranging from 0.008m to 0.311m, and stabilized further at 3-4m depths with a mean error of 0.077m, suggesting the dual-wavelength laser system’s stability and precision. In the 4-5m range, error slightly increased, averaging 0.214m, yet remained within an acceptable range for accurate depth profiling. These results validate the EYAS system’s capability to deliver stable and reliable 3D riverbed data, indicating its potential for applications in flood risk management, disaster response, and marine exploration.
Year: 2025