Application and evaluation of GF-1 and GF-1B satellite data for total suspended solids (TSS) monitoring in coastal waters south of Yantai, China

Xinmin Rui; Hongyan Wang; Fawang Ye; Shaoyu Shi; Xuejiao Chen; Ding Wu; Yongfei Che

doi:10.1117/12.3010338

15 November 2023 Application and evaluation of GF-1 and GF-1B satellite data for total suspended solids (TSS) monitoring in coastal waters south of Yantai, China

Xinmin Rui, Hongyan Wang, Fawang Ye, Shaoyu Shi, Xuejiao Chen, Ding Wu, Yongfei Che

Author Affiliations +

Proceedings Volume 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023); 128152J (2023) https://doi.org/10.1117/12.3010338
Event: International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 2023, Kaifeng, China

Abstract

Total suspended solids (TSS) represent a critical parameter for water quality assessment and an essential indicator for remote sensing water quality monitoring. The Gaofen (GF) series satellites are a crucial component of China's “Major Special Project of High Resolution Earth Observation System”, widely applied in fields like environmental protection and land resources monitoring. In our efforts to further explore the applicability of the satellite network composed of GF-1 and GF-1B for TSS change monitoring, we developed a TSS concentration model for the coastal waters south of Yantai, China, and discussed the impact of different aerosol models on inversion results. Our findings indicate that the optimal band combination for TSS inversion modeling in the coastal waters south of Yantai is "ln(B3)-ln(B2)". The model best suited for TSS concentration inversion in the study area is y = 9.9348x2 + 29.713x + 23.879, with a coefficient of determination (R^2) of 0.73. The choice of aerosol model when employing the FLAASH model for atmospheric correction influences the predictive accuracy of the inversion model for TSS concentration. GF-1 and GF-1B satellite data are promising for inverting TSS concentrations in water bodies, and high temporal resolution satellite constellation images are beneficial for enhancing regional water body environmental monitoring.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Xinmin Rui, Hongyan Wang, Fawang Ye, Shaoyu Shi, Xuejiao Chen, Ding Wu, and Yongfei Che "Application and evaluation of GF-1 and GF-1B satellite data for total suspended solids (TSS) monitoring in coastal waters south of Yantai, China", Proc. SPIE 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 128152J (15 November 2023); https://doi.org/10.1117/12.3010338

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KEYWORDS

Satellites

Atmospheric modeling

Data modeling

Remote sensing

Atmospheric corrections

Water quality

Aerosols

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