An approach for estimating remote sensing reflectance based on the quasi-analytical algorithm

Tong-Ji Li; Wei-Wei Li; Jian-Hua Zhu; Bing Han

doi:10.1117/12.2571835

20 September 2020 An approach for estimating remote sensing reflectance based on the quasi-analytical algorithm

Tong-Ji Li, Wei-Wei Li, Jian-Hua Zhu, Bing Han

Proceedings Volume 11529, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2020; 115290F (2020) https://doi.org/10.1117/12.2571835
Event: SPIE Remote Sensing, 2020, Online Only

Conference Poster

Abstract

This paper summarizes two approaches for estimating remote sensing reflectance by above-water method. One, represented by M99 and R06, is used to estimating the sea-surface reflectance ρ, while the other, represented by G01 and L10, is applied in estimating and eliminating the contribution of residual surface-reflected light and sun glint ε. Base on the second approach, this paper proposes a new approach (HY approach), which use the quasi-analytical algorithm to estimate the remote sensing reflectance of near infrared band, and then estimate and eliminate ε. Given the preliminary estimates of 𝑅_𝑟𝑠(λ), we can use quasi-analytical algorithm to estimate the inherent optical properties (IOP) of the visible spectrum. With IOP model, IOP of the near infrared band can be calculated, which then can be used to estimate the 𝑅_𝑟𝑠(NIR) of near infrared wave band. And ultimately the estimating of the ε can be realized. The in-situ data were gathered in September, 2018 in the East China Sea and the South China Sea, from 76 stations. The remote sensing reflectance (Rrs) was calculated simultaneously by above-water and in-water methods. Comparing the data analyzing result of HY approach in this paper with other approaches, the variation coefficient of HY and L10 is within 5% for most stations, and within 10% for HY and R06. Compared with the results of Rrs measured by in-water method, the variation coefficient of 80% of the stations is within 15%, and the results of the two methods have a good consistency. HY method avoids the problem of extra measurement of sea surface wind in methods such as R06. This method has simple and clear steps, fast iterative convergence and better calculation speed than L10 method.

Conference Presentation

Citation Download Citation

Tong-Ji Li, Wei-Wei Li, Jian-Hua Zhu, and Bing Han "An approach for estimating remote sensing reflectance based on the quasi-analytical algorithm", Proc. SPIE 11529, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2020, 115290F (20 September 2020); https://doi.org/10.1117/12.2571835

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