Mengjiao Ding, Zhongfeng Qiu, Hailong Zhang, Zhaoxin Li, Ying Mao. Inversion Algorithm for Turbidity of Bohai and Yellow Seas Based on NPP-VIIRS Satellite Data[J]. Acta Optica Sinica, 2019, 39(6): 0601002
- Acta Optica Sinica
- Vol. 39, Issue 6, 0601002 (2019)
Fig. 1. Study area, location of buoy, and sampling stations of different cruises
Fig. 2. Turbidity statistics of water bodies based on (a) buoy and (b) cruise observation
Fig. 3. Correlation coefficient between Rrs under different forms and T versus wavelength
Fig. 4. Turbidity and result of inversion model developed using X1 (blue dots are matching dataset of measured data and satellite data). (a) Model calibration; (b) model validation
Fig. 5. Turbidity and result of inversion model developed using X2 (blue dots are matching dataset of measured data and satellite data). (a) Model calibration; (b) model validation
Fig. 6. Scatter plots of measured and estimated turbidity obtained by different models after adding ±5% random errors to Rrs at 443 nm and 486 nm (blue dots are matching dataset of measured data and satellite data). (a) X1 model; (b) X2 model
Fig. 7. Monthly average distributions of water turbidity in Bohai and Yellow seas (2012—2018)
Fig. 8. Seasonal average distributions of water turbidity in Bohai and Yellow seas (2012—2018)
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Table 1. Comparison of correlation coefficients between lg T and lg Rrs under different band combinations
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Table 2. Statistics of coefficients of turbidity inversion model and its accuracy evaluation parameters
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