| MODIS水色产品在中国黄、东海海域应用研究 |
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| 引用本文： | 姜玲玲,郭翔宇,王林,Sathyendranath Shubh,Evers-King Hayley,陈艳拢,李炳南.MODIS水色产品在中国黄、东海海域应用研究[J].海洋学报(英文版),2020,39(1):91-101. |
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| 作者姓名： | 姜玲玲 郭翔宇 王林 Sathyendranath Shubh Evers-King Hayley 陈艳拢 李炳南 |
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| 作者单位： | 大连海事大学, 环境科学与工程学院, 大连, 116026, 中国,大连海事大学, 环境科学与工程学院, 大连, 116026, 中国,生态环境部, 国家海洋环境监测中心, 大连, 116023, 中国,普利茅斯海洋实验室, 普利茅斯, 德文郡, PL1 3DH, 英国,普利茅斯海洋实验室, 普利茅斯, 德文郡, PL1 3DH, 英国,生态环境部, 国家海洋环境监测中心, 大连, 116023, 中国,生态环境部, 国家海洋环境监测中心, 大连, 116023, 中国 |
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| 基金项目： | The National Natural Science Foundation of China under contract Nos 41506197 and 41406199; the Doctoral Scientific Research Foundation of Liaoning Province under contract No. 201501190; the Fundamental Research Funds for the Central Universities under contract No. 3132017110. |
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| 摘 要： | An extensive study collected in situ data along the Yellow Sea(YS) and East China Sea(ECS) to assess the radiometric properties and the concentration of the water constituents derived from Moderate Resolution Imaging Spectroradiometer(MODIS). Thirteen high quality match-ups were obtained for evaluating the MODIS estimates of Rrs(λ), chlorophyll a(Chl a) and concentrations of suspended particulate sediment matter(SPM). For MODIS Rrs(λ), the mean absolute percentage difference(APD) was in the range of 20%–36%, and the highest uncertainty appeared at 412 nm, whereas the band ratio of Rrs(λ) at 488 nm compared with that at 547 nm was highly consistent, with an APD of 7%. A combination of near-infrared bands and shortwave infrared wavelengths atmosphere correction algorithm(NIR-SWIR algorithm) was applied to the MODIS data, and the estimation accuracy of Rrs were improved at most of the visible spectral bands except 645 nm, 667 nm and 678 nm. Two ocean-colour empirical algorithms for Chl a estimation were applied to the processed data, the results indicated that the accuracy of the derived Chl a values was obviously improved, the four-band algorithms outperformed the other algorithm for measured and simulated datasets, and the minimum APD was 35%. The SPM was also quantified. Two regional and two coastal SPM algorithms were modified according to the in situ data. By comparison, the modified Tassan model had a higher accuracy for the application along the YS and ECS with an APD of 21%. However, given the limited match-up dataset and the potential influence of the aerosol properties on atmosphere correction, further research is required to develop additional algorithms especially for the low Chl a coastal water.
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| 关 键 词： | MODIS 近岸水体 叶绿素a 总悬浮颗粒物 反演算法 |
| 收稿时间： | 2018/12/29 0:00:00 |
Validation of MODIS ocean-colour products in the coastal waters of the Yellow Sea and East China Sea |
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| Jiang Lingling,Guo Xiangyu,Wang Lin,Sathyendranath Shubh,Evers-King Hayley,Chen Yanlong and Li Bingnan.Validation of MODIS ocean-colour products in the coastal waters of the Yellow Sea and East China Sea[J].Acta Oceanologica Sinica,2020,39(1):91-101. |
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| Authors: | Jiang Lingling Guo Xiangyu Wang Lin Sathyendranath Shubh Evers-King Hayley Chen Yanlong and Li Bingnan |
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| Institution: | 1.College of Environmental Science and Engineering, Dalian Maritime University, Dalian 116026, China2.Ministry of Ecology Environment, National Marine Environmental Monitoring Center, Dalian 116023, China3.Plymouth Marine Laboratory (PML), Plymouth, Devon , PL1 3DH, UK |
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| Abstract: | An extensive study collected in situ data along the Yellow Sea (YS) and East China Sea (ECS) to assess the radiometric properties and the concentration of the water constituents derived from Moderate Resolution Imaging Spectroradiometer (MODIS). Thirteen high quality match-ups were obtained for evaluating the MODIS estimates of Rrs(λ), chlorophyll a (Chi a) and concentrations of suspended particulate sediment matter (SPM). For MODIS Rrs(λ), the mean absolute percentage difference (APD) was in the range of 20%-36%, and the highest uncertainty appeared at 412 nm, whereas the band ratio of Rrs(λ) at 488 nm compared with that at 547 nm was highly consistent, with an APD of 7%. A combination of near-infrared bands and shortwave infrared wavelengths atmosphere correction algorithm (NIR-SWIR algorithm) was applied to the MODIS data, and the estimation accuracy of RIS were improved at most of the visible spectral bands except 645 nm, 667 nm and 678 nm. Two ocean-colour empirical algorithms for Chi a estimation were applied to the processed data, the results indicated that the accuracy of the derived Chi a values was obviously improved, the four-band algorithms outperformed the other algorithm for measured and simulated datasets, and the minimum APD was 35%. The SPM was also quantified. Two regional and two coastal SPM algorithms were modified according to the in situ data. By comparison, the modified Tassan model had a higher accuracy for the application along the YS and ECS with an APD of 21%. However, given the limited match-up dataset and the potential influence of the aerosol properties on atmosphere correction, further research is required to develop additional algorithms especially for the low Chi a coastal water. |
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| Keywords: | MODIS turbid waters chlorophyll a SPM retrieval algorithms Yellow and East China Sea |
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