Department of Environmental Protection, Maritime Institute, Gdynia Maritime University, ul. Trzy Lipy 3, 80-172 Gdańsk, Poland.
Department of Operational Oceanography, Maritime Institute, Gdynia Maritime University, ul. Długi Targ 41/42, 80-830 Gdańsk, Poland.
Sensors (Basel). 2022 Feb 1;22(3):1105. doi: 10.3390/s22031105.
Coastal waters are the richest parts of ocean ecosystems characterised by dynamic changes in water biology, physical and chemical features. Establishing local relationships between water constituents and optical properties in these areas will help to develop successful ocean colour algorithms allowing a thorough understanding of complex coastal waters and improving water quality monitoring. In this paper, the authors present the use of optical and biogeochemical measurements in complex aquatic environments and aim to create a semi-empirical model of remote-sensing reflectance (()) for four wavelengths ( = 420 nm, 488 nm, 555 nm, and 620 nm) based on multiparameter algorithms of absorption (()) and backscattering (()) coefficients. The bio-optical properties of water were determined based on empirical data gathered from aboard the r/v Oceania from April 2007 to March 2010 in chosen areas of the southern Baltic (Polish coast). The analyses reveal that () in the studied area can be described with satisfactory accuracy using a five-parameter model. Positive results with a statistical error magnitude of () of less than 50% were achieved for all four applied wavelengths. Bio-optical algorithms proposed by the authors enable evaluating biogeochemical characteristics of coastal areas in a broader context of ecosystem assessment and contribute significantly to the development of Earth and environmental sciences.
沿海水域是海洋生态系统中最富有的部分,其水生物、物理和化学特征具有动态变化。在这些区域建立水成分与光学性质之间的局部关系将有助于开发成功的海洋颜色算法,从而深入了解复杂的沿海水域并改善水质监测。本文作者在复杂的水生环境中使用光学和生物地球化学测量,并旨在创建基于吸收()和后向散射()系数多参数算法的四个波长(= 420nm、488nm、555nm 和 620nm)的遥感反射率()的半经验模型。水的生物光学特性是根据 2007 年 4 月至 2010 年 3 月期间 Oceania 号在波罗的海南部选定区域采集的经验数据确定的。分析表明,在研究区域中,可以使用五参数模型以令人满意的精度描述()。对于所有四个应用的波长,都实现了统计误差幅度()小于 50%的正结果。作者提出的生物光学算法能够在生态系统评估的更广泛背景下评估沿海地区的生物地球化学特征,并为地球和环境科学的发展做出重要贡献。