Lidar bathymetry over 140 m with polarization noise suppression
Abstract Lidar provides unique capabilities for integrated land-sea surveying, delivering highly efficient and accurate bathymetric and topographic measurements. However, depth challenges remain for existing lidar systems due to the weak signal of water bottom and interference from background noise. Here, we demonstrate, to the best of our knowledge, the deepest detectable depth over 140 m ever reported through lidar bathymetry in the South China Sea. Through a comprehensive lidar emulator, key system parameters were optimized to enhance the bottom signal with a 486 nm laser. Additionally, the emulator formulated the polarization detection to suppress the background noise including dark counts and water column backscatter, owing to their polarized differences from bottom signals. Experimental results demonstrated that the SNR enhancement of cross-polarized signals is 1.6 times that of the total signals at depths exceeding 100 m. Meanwhile, 68.7% of the background noise was suppressed by utilization of the cross-polarized channel. The lidar bathymetric data after multiple scattering corrections showed good agreement with shipborne Acoustic Doppler Current Profiler measurements, with a root mean square relative deviation (RMSRD) of 5.23%. The research offers implications for filling knowledge gaps across continental shelves and delivers new insights for improving seafloor monitoring and benthic mapping.
Authors
- Xueping Wan (ORCID: https://orcid.org/0000-0003-2626-2431)
- Antoine Collin (ORCID: https://orcid.org/0000-0001-9559-7572)
- Qiuling Gu
- Daniel Ierodiaconou (ORCID: https://orcid.org/0000-0002-7832-4801)
- Zhewei Fu
- Mingzhu Yuan
- Jinghong Xu
- Qun Liu
- Bingyi Liu
- Weibiao Chen
- Xiaoquan Song
- Han Zhang
- Peituo Xu
- Yan He (ORCID: https://orcid.org/0009-0008-9437-5220)
- Chong Liu
- Lan Wu
- Hongkai Zhao
- Dong Liu
- Yudi Zhou
- Ziwei Yao
- Yatong Chen
- Peng Chen
Institutions
- Tata Institute of Fundamental Research (IN)
- Deakin University (AU)
- École Pratique des Hautes Études (FR)
- Zhejiang University of Science and Technology (CN)
- Ministry of Natural Resources (CN)
- WuXi AppTec (China) (CN)
- Second Institute of Oceanography (CN)
- China National Environmental Monitoring Center (CN)
- Shanghai Institute of Optics and Fine Mechanics (CN)
- Dahua Technology (China) (CN)
- National Marine Environmental Monitoring Center
- Ocean University of China (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- PhotoniX
- Published
- 2026-03-13
- DOI
- https://doi.org/10.1186/s43074-026-00231-9
- Primary Topic
- Remote Sensing and LiDAR Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Technische Universität Dresden
- Tartu Ülikool
- Russian Academy of Sciences
- National Key Research and Development Program of China
- Fundamental Research Funds for the Central Universities
- Natural Science Foundation of Zhejiang Province