Performance evaluation of operational atmospheric correction algorithms over the East China Seas

Shuangyan He; Mingxia He; Jürgen Fischer

doi:10.1007/s00343-016-5170-6

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Performance evaluation of operational atmospheric correction algorithms over the East China Seas

OriginalPaper | Updated：2023-05-16

- Performance evaluation of operational atmospheric correction algorithms over the East China Seas
- Performance evaluation of operational atmospheric correction algorithms over the East China Seas
- 海洋湖沼学报（英文） 2017年35卷第1期页码：1-22
- Affiliations：
  
  1. Ocean Remote Sensing Institute Ocean University of China
  2. Institute for Space Sciences Freie Universität Berlin
  3. Ocean College Zhejiang University
- Author bio：
- Funds：
  
  Supported by the State Key Program of National Natural Science Foundation of China (No. 60638020), the State Scholarship Fund of the China Scholarship Council (CSC), the National Natural Science Foundation of China (Nos. 41321004, 41276028, 41206006, 41306192, 41306035), and the Natural Science Foundation of Zhejiang Province (No. LY15D060001);An erratum to this article is available at;http://dx.doi.org/10.1007/s00343-017-7466-6;.
- DOI：10.1007/s00343-016-5170-6
  中图分类号：
- 网络首发：2016-04-21，
  
  纸质出版：2017
- Accepted：
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Performance evaluation of operational atmospheric correction algorithms over the East China Seas[J]. 海洋湖沼学报（英文）, 2017,35(1):1-22.

He, S., He, M. & Fischer, J. Performance evaluation of operational atmospheric correction algorithms over the East China Seas., Chin. J. Ocean. Limnol. 35, 1–22 (2017). https://doi.org/10.1007/s00343-016-5170-6
Performance evaluation of operational atmospheric correction algorithms over the East China Seas[J]. 海洋湖沼学报（英文）, 2017,35(1):1-22. DOI： 10.1007/s00343-016-5170-6.

He, S., He, M. & Fischer, J. Performance evaluation of operational atmospheric correction algorithms over the East China Seas., Chin. J. Ocean. Limnol. 35, 1–22 (2017). https://doi.org/10.1007/s00343-016-5170-6 DOI：

摘要

Abstract

To acquire high-quality operational data products for Chinese in-orbit and scheduled ocean color sensors

the performances of two operational atmospheric correction (AC) algorithms (ESA MEGS 7.4.1 and NASA SeaDAS 6.1) were evaluated over the East China Seas (ECS) using MERIS data. The spectral remote sensing reflectance R rs(λ)

aerosol optical thickness (AOT)

and Ångström exponent (α) retrieved using the two algorithms were validated using in situ measurements obtained between May 2002 and October 2009. Match-ups of R rs

AOT

and α between the in situ and MERIS data were obtained through strict exclusion criteria. Statistical analysis of R rs(λ) showed a mean percentage difference (MPD) of 9%–13% in the 490–560 nm spectral range

and significant overestimation was observed at 413 nm (MPD>72%). The AOTs were overestimated (MPD>32%)

and although the ESA algorithm outperformed the NASA algorithm in the blue-green bands

the situation was reversed in the red-near-infrared bands. The value of α was obviously underestimated by the ESA algorithm (MPD=41%) but not by the NASA algorithm (MPD=35%). To clarify why the NASA algorithm performed better in the retrieval of α

scatter plots of the α single scattering albedo (SSA) density were prepared. These α-SSA density scatter plots showed that the applicability of the aerosol models used by the NASA algorithm over the ECS is better than that used by the ESA algorithm

although neither aerosol model is suitable for the ECS region. The results of this study provide a reference to both data users and data agencies regarding the use of operational data products and the investigation into the improvement of current AC schemes over the ECS.

关键词

Keywords

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