A practical and efficient model for benthic habitat parameters retrieval in optically shallow waters from four - band multispectral imagery

Ma, Yunhan and Han, Tong and Wang, Enze and Lee, Zhongping and Prasad, Surendra and Vosaki, Gandercillar W. and Cao, Wenting and Li, Dongling and Wang, Juan and Lou, Xiulin and Zhang, Huaguo (2025) A practical and efficient model for benthic habitat parameters retrieval in optically shallow waters from four - band multispectral imagery. International Journal of Applied Earth Observation and Geoinformation, 139 . NA. ISSN 1569-8432

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Abstract

Water depth (H), bottom reflectance (
), chlorophyll-a concentration (Chl) and seawater transparency (SDD) are key parameters in assessing shallow benthic habitats. However, due to limited in-situ data, restricted hyperspectral imagery or dynamic water quality, it is challenging to develop a generalized remote sensing model for decoupling water column and benthic signals across diverse regions and time periods. In this study, a Modified Log rotation Ratio and Semi-analytical (MLR-S) model is proposed for diffuse attenuation coefficient
retrieval by adjusting inherent optical properties (P, G, X), from widely used four-band multispectral images without relying on truth data. A new Binary Quadratic Polynomial Relationship (BQPR) between P and the logarithmic values of blue-green bands was developed upon a sparse set of self-inferred points (SIPs). Then, large-scale and optimal
was determined. Finally, using the monthly mean water column reflectance dataset
constructed from 23-year MODIS data,
, Chl and SDD can be efficiently derived. Synchronous validation at Dazhou Island confirmed the effectiveness of the MLR-S model, with mean relative errors of 23.77%, 15.26% and 9.91% for blue, green and red
, respectively, and 36.69% for Chl. Further validation of
in Heron Reef, Aitutaki Island and Buck Island demonstrated the model’s robustness across diverse habitats. Compared to the ICESat-2 Along Track Benthic Reflectance (ATBR) model, the MLR-S model yielded more reasonable and reliable
in deeper waters. Additionally, it outperformed the traditional semi-analytical model, achieving greater accuracy while being over 100 times more computationally efficient. This model offers promising potential for large-scale, high-resolution monitoring of benthic habitats using four-band multispectral data, supporting improved understanding of reef health and informed decision-making.

Item Type:	Journal Article
Subjects:	Q Science > QD Chemistry Q Science > QH Natural history
Divisions:	School of Agriculture, Geography, Environment, Ocean and Natural Sciences (SAGEONS)
Depositing User:	Ms Shalni Sanjana
Date Deposited:	18 Aug 2025 23:02
Last Modified:	18 Aug 2025 23:02
URI:	https://repository.usp.ac.fj/id/eprint/15133

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