Chen, Jun1,2; He, Xianqiang2; Liu, Zhongli1; Lin, Nan1; Xing, Qianguo3
; Pan, Delu2发表期刊INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
2021-01-17
卷号42期号:2页码:617-638
DOI10.1080/01431161.2020.1811916
通讯作者Pan, Delu(chenjun@xjtu.edu.cn)
英文摘要Frequent and extensive sun glint is a serious obstacle to real-time monitoring of ocean colour anomalies. We semi-analytically adjust an inherent optical properties (IOPs) data processing system for the open ocean to correct for sun glint (called 'IDAS-SGC') and for remote sensing reflectance (R (rs)) and IOPs retrievals. Tests with synthetic data validated the effectiveness of our algorithm in deriving ocean colour data from severely glint-contaminated images to produce high quality images. Evaluating results from single mission images suggested that our approach provides spatially smooth and consistent ocean colour products from both severe glint and glint-free regions for Visible Infrared Imaging Radiometer Suite and for Medium Resolution Spectral Imager II instruments. Specifically, complete coverage of circulation-caused ocean colour anomalies can be recovered from a single severe sun glint image. Comparing multi-mission images found that the inter-mission consistency for IDAS-SGC R (rs) in sun glint regions is comparable with the inter-mission consistency in glint-free regions. Furthermore, we evaluate the performance of the Cox-Munk algorithm for sun glint estimation, and we find that our IDAS-SGC algorithm is more effective than the Cox-Munk algorithm in deriving R (rs) products from severe sun glint regions due to the absence of accurate real-time wind data. Our results suggest that the IDAS-SGC algorithm obtains meaningful ocean colour products from sun glint-contaminated images of the open oceans.
资助机构National Key R&D Program of China; Shaanxi Key Research and Development Program; Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China
收录类别SCI
语种英语
关键词[WOS]DATA PRODUCTS; OCEAN; MODIS; ALGORITHM; SEAWIFS
研究领域[WOS]Remote Sensing; Imaging Science & Photographic Technology
WOS记录号WOS:000590392200001
引用统计被引频次：1[WOS][WOS记录][WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cnhttp://ir.yic.ac.cn/handle/133337/28345
专题中科院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心
中科院海岸带环境过程与生态修复重点实验室
通讯作者Pan, Delu作者单位1.Xi An Jiao Tong Univ, School Human Settlements & Civil Engn, Xian, Peoples R China
2.Minist Nat Resources Peoples Republ China, Inst Oceanog 2, State Key Lab Satellite Ocean Environm Dynam, Hangzhou 310012, Peoples R China
3.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China
推荐引用方式
GB/T 7714Chen, Jun,He, Xianqiang,Liu, Zhongli,et al. Sun glint correction with an inherent optical properties data processing system[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2021,42(2):617-638.
APAChen, Jun,He, Xianqiang,Liu, Zhongli,Lin, Nan,Xing, Qianguo,&Pan, Delu.(2021).Sun glint correction with an inherent optical properties data processing system.INTERNATIONAL JOURNAL OF REMOTE SENSING,42(2),617-638.
MLAChen, Jun,et al."Sun glint correction with an inherent optical properties data processing system".INTERNATIONAL JOURNAL OF REMOTE SENSING 42.2(2021):617-638.
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