Ying AN, Jing DING, Chao LIN, Zhi-liang LIU. Inversion Method of Chlorophyll Concentration Based on Relative Reflection Depths[J]. Spectroscopy and Spectral Analysis, 2022, 42(4): 1083
- Spectroscopy and Spectral Analysis
- Vol. 42, Issue 4, 1083 (2022)
Fig. 1. Ocean color method
Fig. 2. Fluorescence line height method
Fig. 3. In situ measurement stations
Fig. 4. Calibration of chlorophyll concentration
Fig. 5. Measured water-leaving reflectance spectra
Fig. 6. Normalized water-leaving reflectance spectra
Fig. 7. Relative reflection depths
Fig. 8. Chlorophyll concentration distributions in July
(a): Cross sections; (b): Vertical sections
(a): Cross sections; (b): Vertical sections
Fig. 9. Chlorophyll concentration distributions in August
(a): Cross sections; (b): Vertical sections
(a): Cross sections; (b): Vertical sections
Fig. 10. Inversion results of chlorophyll concentration using hyperspectral data
Fig. 11. Comparison of inversion algorithms for chlorophyll concentration
Fig. 12. Validation results of relative reflection depths inversion model for hyperspectral data
Fig. 13. Chlorophyll concentration distributions on 30 August
(a): Satellite data; (b): Measured data
(a): Satellite data; (b): Measured data
Fig. 14. Relative reflection depths of satellite remote sensing reflectance
Fig. 15. Inversion results of chlorophyll concentration based on satellite data
Fig. 16. Validation results of relative reflection depths inversion model with multispectral data
|
Table 1. Comparison of inversion algorithms
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20