| Jiang Lingling,Guo Xiangyu,Wang Lin,Sathyendranath Shubha,Evers-King Hayley,Chen Yanlong,Li Bingnan. 2020. Validation of MODIS ocean-colour products in the coastal waters of the Yellow Sea and East China Sea. Acta Oceanologica Sinica, 39(1):91－101 |
| Validation of MODIS ocean-colour products in the coastal waters of the Yellow Sea and East China Sea |
| MODIS水色产品在中国黄、东海海域应用研究 |
| Received:December 29, 2018 |
| DOI：10.1007/s13131-019-1522-3 |
| Key words:MODIS turbid waters chlorophyll a SPM retrieval algorithms Yellow and East China Sea |
| 中文关键词: MODIS 近岸水体 叶绿素a 总悬浮颗粒物 反演算法 |
| 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. |
| Author Name | Affiliation | E-mail | | Jiang Lingling | College of Environmental Science and Engineering, Dalian Maritime University, Dalian 116026, China | jiangll@dlmu.edu.cn | | Guo Xiangyu | College of Environmental Science and Engineering, Dalian Maritime University, Dalian 116026, China | | | Wang Lin | Ministry of Ecology Environment, National Marine Environmental Monitoring Center, Dalian 116023, China | | | Sathyendranath Shubha | Plymouth Marine Laboratory (PML), Plymouth, Devon, PL1 3DH, UK | | | Evers-King Hayley | Plymouth Marine Laboratory (PML), Plymouth, Devon, PL1 3DH, UK | | | Chen Yanlong | Ministry of Ecology Environment, National Marine Environmental Monitoring Center, Dalian 116023, China | | | Li Bingnan | Ministry of Ecology Environment, National Marine Environmental Monitoring Center, Dalian 116023, China | |
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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 (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. |
| 中文摘要: |
| 本研究结合中国黄、东海海域的现场测量数据，对MODIS卫星反演的遥感反射率、叶绿素以及总悬浮颗粒物浓度（SPM）等参数进行了评估。得出，卫星反演的遥感反射率，反演精度较高，绝对标准偏差（APD）在20%-36%之间；最大的不确定性出现在短波412 nm处，同时波段比值Rrs（488）/Rrs（547）的反演精度最高，其APD的值为7%。但是，叶绿素在近岸的反演精度并不理想，APD为132%。因此，本研究应用近红外-短波红外的方法对MODIS数据进行大气校正处理，经过比较发现，卫星遥感反射率的精度在大多数可见光波段都提高了，同时将两个近岸叶绿素评估方法用于已处理的数据中，发现叶绿素的反演精度较标准产品也明显提升，而且四波段的反演方法显著优于其他方法，其APD的值为31%。同时，本研究结合已有模型利用现场数据建立了四种SPM反演模型，并将四种模型的卫星反演结果与实测结果进行了对比，结果表明，基于Tassan模型框架建立的SPM反演模型在黄、东海域的反演精度最高，APD为21%。 |
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