[1] Z P Lee, S L Shang, C M Hu, et al. Secchi disk depth: A new theory and mechanistic model for underwater visibility. Remote Sensing of Environment, 169, 139-149(2015).

[2] Y Y Dang, X Wang. Application of CPU-GPU heterogeneous system in optical remote sensing image processing. Infrared and Laser Engineering, 49, 20200092(2020).

[3] Z Y Yin, T Jiang, G P Yang, et al. The spatial-temporal variation of water clarity and its influencing factors in Jiaozhou Bay from 1986 to 2017. Marine Sciences, 44, 21-32(2020).

[4] W J Zhao, W X Cao, S B Hu, et al. Comparison of diffuse attenuation coefficient of downwelling irradiance products derived from MODIS-Aqua in the South China Sea. Optics and Precision Engineering, 26, 14-24(2018).

[5] S L He, X Chen, S Li, et al. Small hyperspectral imagers and lidars and their marine applications. Infrared and Laser Engineering, 49, 202002003(2020).

[6] M Doron, M Babin, O Hembise, et al. Ocean transparency from space: Validation of algorithms estimating Secchi depth using MERIS, MODIS and SeaWiFS data. Remote Sensing of Environment, 115, 2986-3001(2011).

[7] C Liu, L P Zhu, J S Li, et al. The increasing water clarity of Tibetan Lakes over last 20 years according to MODIS data. Remote Sensing of Environment, 253, 112199(2021).

[8] L F Arias-Rodriguez, Z Duan, R Sepúlveda, et al. Monitoring water quality of valle de bravo reservoir, mexico, using entire lifespan of MERIS data and machine learning approaches. Remote Sensing, 12, 1586(2020).

[9] Y B Zhang, Y L Zhang, K Shi, et al. Remote sensing estimation of water clarity for various lakes in China. Water Research, 192, 116844(2021).

[10] S Zeng, S H Lei, Y M Li, et al. Retrieval of secchi disk depth in turbid lakes from GOCI based on a new semi-analytical algorithm. Remote Sensing, 12, 1516(2020).

[11] L J Ma, X G Yang, Y L Qi, et al. Oceanic area change and contributing factor of Jiaozhou Bay. Scientia Geographica Sinica, 34, 365-369(2014).

[12] W Su, M Z Zhang, K P Jiang, et al. Atmospheric correction method for Sentinel-2 satellite imagery. Acta Optica Sinica, 38, 322-331(2018).

[13] S Y Feng, N Zhang, J Shen, et al. Method of cloud detection with hyperspectral remote sensing image based on the reflective characteristic. Chinese Optics, 8, 198-204(2015).