Atmospheric correction of Hyperion imagery over estuarine waters: a case study of the Pearl River Estuary in southern China

ABSTRACT

Atmospheric correction of ocean colour remote-sensing data is based on the assumption that no water-leaving reflectance occurs in the near-infrared (NIR) area. However, this assumption is not valid for highly productive waters. To solve this problem, this paper describes a modified atmospheric correction scheme for Hyperion data. Based on the assumption that the ratio of water-leaving radiance and aerosol radiance in two NIR bands follows a fixed rule, we moved a rectangular box around the imagery to calculate those two parameters, which were then used to replace the assumption of zero water-leaving radiance in the NIR. We applied the new atmospheric correction algorithm to one Hyperion image. Following comparison of in situ measurements to results of the FLAASH atmospheric correction schema, preliminary findings show that the new algorithm is effective in reducing error in retrieved water-leaving radiance values, to some extent.

Acknowledgements

We thank many colleagues from Guang Dong Ocean University and classmates from the South China Sea Institute of Oceanology, Chinese Academy of Sciences, who took part in the cruises, for their hard work on in situ measurements. We would like to express our thanks to Dr Chen Chuqun, who made many suggestions that helped us to complete this paper. This work was funded by the National Science Foundation of China (NO.41340049,41276182), the National Marine Important Charity Special Foundation of China (No. 201305019), the Open Fund of State Key Laboratory of Satellite Ocean Environment Dynamics of Second Institute of Oceanography, SOA(No.SODE1203), post-doctoral fund of Zhejiang (NO.BSH1301015), the Natural Science Foundation of Guangdong Province, China (No. 2014A030313603), Foundation for Excellent Young Teachers in Higher Education of Guangdong Province, China (No. 2016A030313754). We thank many colleagues from Guang Dong Ocean University and classmates from South China Sea Institute of Oceanology, Chinese Academy of Sciences, who took part in the cruises, for their hard-work on in-situ measurements. We would like to express our thanks to Dr. Chen Chuqun, who made many suggestions that helped us to complete this paper. We would also like to express our gratitude to anonymous reviewers for their suggestions.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was funded by the National Science Foundation of China [grant number 41340049], [grant number 41276182]; the National Marine Important Charity Special Foundation of China [grant number 201305019]; the Open Fund of State Key Laboratory of Satellite Ocean Environment Dynamics of Second Institute of Oceanography, SOA [grant number SODE1203]; post-doctoral fund of Zhejiang [grant number BSH1301015]; the Natural Science Foundation of Guangdong Province, China [grant number 2014A030313603]; Foundation for Excellent Young Teachers in Higher Education of Guangdong Province, China [grant number 2016A030313754]; Innovation and Strong School Project of Guangdong Ocean University [grant number Q16147].