| 基于客观分析的多源卫星叶绿素a浓度产品融合方法研究 |
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| 引用本文： | 施英妮,张亭禄,石立坚,胡晓华,南明星.基于客观分析的多源卫星叶绿素a浓度产品融合方法研究[J].海洋学报,2016,38(3):82-87. |
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| 作者姓名： | 施英妮 张亭禄 石立坚 胡晓华 南明星 |
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| 作者单位： | 1.中国海洋大学信息科学与工程学院, 山东青岛 266100;北京5111信箱, 北京 100094 |
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| 基金项目： | 国家国际科技合作专项资助(2011DFA22260);国家基金委--山东省联合基金项目"海洋环境动力学和数值模拟"(U1406404),高分专项。 |
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| 摘 要： | 本文基于Aqua/MODIS、Terra/MODIS和Envisat/MERIS多源卫星叶绿素a浓度产品,研究了客观分析融合方法,制作了西北太平洋海域(0°~50°N,100°~150°E)叶绿素a浓度融合产品,并从有效数据空间覆盖率和产品精度两个方面对融合方法进行了评价。与单传感器以及欧洲太空局发布的GSM模型业务化融合产品相比,客观分析融合产品空间覆盖率明显提高;与收集的2002-2012年间叶绿素a浓度实测数据比较,GSM模型业务化融合产品的匹配数据点为578个,偏差为-0.20 mg/m3,均方根误差为0.37 mg/m3,客观分析法融合产品的匹配数据点为1432个,偏差为-0.21 mg/m3,均方根误差为0.36 mg/m3。结果表明:本文研究的客观分析融合方法在保证融合产品精度的同时可显著提高产品的空间覆盖率,在海洋水色融合应用前景广阔。
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| 关 键 词： | 客观分析法 融合 叶绿素a浓度 空间覆盖率 产品精度 |
| 收稿时间： | 4/1/2015 12:00:00 AM |
| 修稿时间： | 2015/7/15 0:00:00 |
Objective analysis for merging multisensory chlorophyll a data |
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| Shi Yingni,Zhang Tinglu,Shi Lijian,Hu Xiaohua and Nan Mingxing.Objective analysis for merging multisensory chlorophyll a data[J].Acta Oceanologica Sinica (in Chinese),2016,38(3):82-87. |
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| Authors: | Shi Yingni Zhang Tinglu Shi Lijian Hu Xiaohua and Nan Mingxing |
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| Affiliation: | 1.College of Information Science & Engineering, Ocean University of China, Qingdao 266100, China;Mailbox NO 5111, Beijing 100094, China2.College of Information Science & Engineering, Ocean University of China, Qingdao 266100, China3.National Satellite Ocean Application Service, Beijing 100081, China;Key Laboratory of Space Ocean Remote Sensing and Application, State Oceanic Administration, Beijing 100081, China4.Mailbox NO 5111, Beijing 100094, China5.Mailbox NO 2433, Beijing 100081, China |
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| Abstract: | In this paper,the objective analysis method is studied to merge the daily chlorophyll a concentration products over the northwest Pacific from three ocean color sensors:Moderate Resolution Imaging Spectroradiometer (MODIS) on the Aqua platform,MODIS on the Terra platform and the Medium Resolution Imaging Spectrometer(MERIS) on the ENVISAT platform. The objective analysis method is evaluated from the spatial coverage ratio and the accuracy of the merged result. The evaluation result showed that the spatial coverage of objective analysis method products is much larger than that of the single sensor products and the GSM merged products. Through validation with the in-situ data during periods from 2002 to 2012,the matched data of the GSM merged data and the Objective Analysis method merged data is 578 and 1 432,respectively. The correlation coefficient and the root mean square error (RMSE) of the GSM merged data are -0.20 mg/m3 and 0.37 mg/m3. The same evaluation parameters of objective analysis are -0.21 mg/m3 and 0.36 mg/m3. The results show that the objective analysis is an effective method for merging chlorophyll a data and the product of this method has the similar accuracy with other products and higher spatial coverage ratio. |
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| Keywords: | objective analysis method data merge chlorophyll a concentration spatial coverage validation |
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