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  2. 烟台海岸带研究所
  3. 中国科学院烟台海岸带研究所
  4. 中科院海岸带环境过程与生态修复重点实验室
  5. 海岸带信息集成与综合管理实验室
Sun glint correction with an inherent optical properties data processing system

文献类型：期刊论文

作者Chen, Jun2,3; He, Xianqiang3; Liu, Zhongli2; Lin, Nan2; Xing, Qianguo1; Pan, Delu3
刊名INTERNATIONAL JOURNAL OF REMOTE SENSING
出版日期2021-01-17
卷号42期号:2页码:617-638
ISSN号0143-1161
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.
WOS关键词DATA PRODUCTS ; OCEAN ; MODIS ; ALGORITHM ; SEAWIFS
资助项目National Key R&D Program of China[2018YFB0504802] ; National Key R&D Program of China[2018YFB0504901] ; National Key R&D Program of China[2018YFB0504800] ; Shaanxi Key Research and Development Program[2018ZDXM-GY-023] ; Fundamental Research Funds for the Central Universities[60020302] ; National Natural Science Foundation of China[41676171]
WOS研究方向Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000590392200001
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
源URL[http://ir.yic.ac.cn/handle/133337/28344]  
专题烟台海岸带研究所_海岸带信息集成与综合管理实验室
烟台海岸带研究所_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.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China
2.Xi An Jiao Tong Univ, School Human Settlements & Civil Engn, Xian, Peoples R China
3.Minist Nat Resources Peoples Republ China, Inst Oceanog 2, State Key Lab Satellite Ocean Environm Dynam, Hangzhou 310012, Peoples R China
推荐引用方式
GB/T 7714		 Chen, 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.
APA Chen, 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.
MLA Chen, Jun,et al."Sun glint correction with an inherent optical properties data processing system".INTERNATIONAL JOURNAL OF REMOTE SENSING 42.2(2021):617-638.

入库方式： OAI收割

来源：烟台海岸带研究所

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