Retrieving inherent optical properties for turbid inland waters: an improved quasi-analytical algorithm based on the linear spectral backscattering coefficient constraint

Feng Xie; Changxing Zhang; Honglan Shao; Chengyu Liu; Zhihui Liu; Gui Yang; Jianyu Wang; Jianyuan Lin

doi:10.1117/12.2267400

8 March 2017 Retrieving inherent optical properties for turbid inland waters: an improved quasi-analytical algorithm based on the linear spectral backscattering coefficient constraint

Feng Xie, Changxing Zhang, Honglan Shao, Chengyu Liu, Zhihui Liu, Gui Yang, Jianyu Wang, Jianyuan Lin

Author Affiliations +

Proceedings Volume 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016; 102551Z (2017) https://doi.org/10.1117/12.2267400
Event: Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 2016, Jinhua, Suzhou, Chengdu, Xi'an, Wuxi, China

Abstract

The inherent optical property is a significant bridge between the hyperspectral remote sensing data and water color and water quality parameters. Based on the water optical radiation transfer process and existing quasi-analytical algorithm (QAA), this study provides an improved algorithm, namely a linear spectral backscattering coefficient constraint quasianalytical algorithm (LSBCC-QAA), suitable for the retrieval of inherent optical properties for turbid inland waters to address the deficiency of the QAA on the retrieval of inherent optical properties for turbid inland waters. LSBCC-QAA uses the water-leaving reflectance of the bands between 1600 and 1700 nm to estimate the water surface reflectance of the bands between 400 and 900 nm and selects 700~850 nm as the reference wavelengths to estimate the water backscattering coefficients, taking full advantage of the continuity of the backscattering coefficient spectrum. The preliminary validated results show that the particle absorption coefficient, particle backscattering coefficient and phytoplankton absorption coefficient retrieved by LSBCC-QAA are more consistent with the actual situation than those retrieved by the common QAA_v6 algorithm or QAA-Turbid algorithm. Compared with the measured particle diffuse attenuation coefficient, the error of the LSBCC-QAA retrieved particle diffuse attenuation coefficient ranges from 16.0% to 22.9%, and the average error is 18.4%.

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Feng Xie, Changxing Zhang, Honglan Shao, Chengyu Liu, Zhihui Liu, Gui Yang, Jianyu Wang, and Jianyuan Lin "Retrieving inherent optical properties for turbid inland waters: an improved quasi-analytical algorithm based on the linear spectral backscattering coefficient constraint", Proc. SPIE 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 102551Z (8 March 2017); https://doi.org/10.1117/12.2267400

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KEYWORDS

Absorption

Backscatter

Particles

Reflectivity

Water

Optical properties

Signal attenuation

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