Volume 14 Issue 3
Jun.  2025
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Article Navigation >  Journal of Radars  > 2025  >  14(3): 562-575
YANG Fan, ZHANG Hongwei, LI Ziwang, et al. Inversion and validation of ocean surface bio-optical parameters using multiplatform ocean LiDAR[J]. Journal of Radars, 2025, 14(3): 562–575. doi: 10.12000/JR25064
Citation: YANG Fan, ZHANG Hongwei, LI Ziwang, et al. Inversion and validation of ocean surface bio-optical parameters using multiplatform ocean LiDAR[J]. Journal of Radars, 2025, 14(3): 562–575. doi: 10.12000/JR25064
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Inversion and Validation of Ocean Surface Bio-optical Parameters Using Multiplatform Ocean LiDAR

DOI: 10.12000/JR25064 CSTR: 32380.14.JR25064
  • 1.

    College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China

  • 2.

    Sanya Oceanographic Institution, Ocean University of China, Sanya 572000, China

  • 3.

    Laoshan National Laboratory, Qingdao 266237, China

Funds:  The National Natural Science Foundation of China (U2106210, 42106182), National Key Research and Development Program (2022YFB3901705, 2022YFB3901702), Laoshan Laboratory Science and Technology Innovation Projects (LSKJ202201405, LSKJ202201202)
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  • Corresponding author: WU Songhua, wush@ouc.edu.cn
  • Received Date: 2025-04-03
  • Rev Recd Date: 2025-05-20
    • Available Online: 2025-05-22
  • Publish Date: 2025-05-29
    Abstract
  • The vertical characteristics of biological optical parameters in the upper ocean are essential for evaluating marine primary productivity and the carbon cycle. Although ocean lidar can effectively detect these parameters, the inversion results are usually highly biased due to the regional differences in the adaptability of empirical models. This study uses multiplatform LiDAR observations collected in a certain sea area of China (2023–2024), combined with a region-adaptive bio-optical model, to achieve high-precision profiling of bio-optical parameters in the region. The derived vertical profiles of chlorophyll-a concentration showed strong agreement with in-situ measurements, with a coefficient of determination (R2) of 0.84 and an average root mean square error of 0.14 μg·L–1. Further quantitative analysis using an error transfer model revealed that differences in band-specific optical sensitivity considerably affected error distribution. The effective detection depth in the blue band was 70 m, notably higher than the 58 m depth in the green band. In addition, at the subsurface chlorophyll maximum layer, the inversion bias in the blue band was 0.18 μg·L–1 lower than that in the green band, highlighting the intrinsic relationship between the optical characteristics of each wavelength and its associated bias. This result provides an effective method for improving the reliability of profile inversion of bio-optical parameters in complex waters and performing error analysis.

     

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