A review of machine learning applications in inland and nearshore water color remote sensing: from preprocessing to object detection and parameter estimation
Published in Journal of Hydrology, 2026
This review provides the first systematic integration of machine learning across the full-chain workflow for inland and nearshore watercolor remote sensing.
Recommended citation: Shi, J., Li, Z., Liu, G., Fang, C., Wen, Z., Shang, Y., Tao, H., Li, S., Wang, Q., Wang, Z., & Song, K. (2026). A review of machine learning applications in inland and nearshore water color remote sensing: from preprocessing to object detection and parameter estimation. Journal of Hydrology, Volume 677, Part C, Article 135950. https://doi.org/10.1016/j.jhydrol.2026.135950
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