Evaluation of Red-Peak Algorithms for Chlorophyll Measurement in the Pearl River Estuary
文献类型：期刊论文
| 作者 | Liu, Fenfen; Tang, Shilin1; lfenfen@mail.sysu.edu.cn; sltang@scsio.ac.cn |
| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
 |
| 出版日期 | 2019 |
| 卷号 | 57期号:11页码:8928 |
| 关键词 | Rivers Sea measurements Oceans Satellites Image color analysis Optical sensors Instruments Chlorophyll Ocean and Land Color Instrument (OLCI) peak enveloped area |
| DOI | 10.1109/TGRS.2019.2923754 |
| 英文摘要 | An algorithm of the red-peak envelop area (PEA) near 700 nm was evaluated using in situ data during nine cruises in the Pearl River estuary and compared with other algorithms using the reflectance peak (RP) near 700 nm, including the fluorescence line height (FLH), maximum chlorophyll index (MCI), and MCI2 algorithms. Of all algorithms, the PEA algorithm presented the most accurate performance [ R-2 = 0.74, root-meansquare error (RMSE) = 0.12] and provided a more rational spatial distribution of phytoplankton blooms when both Sentinel 3 Ocean and Land Color Instrument (OLCI) and Hyperion data were used because the PEA integrates information from both the moving peak and the asymmetric curve on each side of the peak due to the high correlation relationship ( R-2 = 0.7) of chlorophyll and the ratio of the peak area between the left and right halves. Moreover, compared with other algorithms, the PEA algorithm developed using the Hyperion (higher spectral resolution) and OLCI band settings presented similar retrieval accuracies. These results demonstrated that the PEA algorithm is less dependent on the band settings, and the spectral band settings of OLCI from 650 to 750 nm are reasonable and can be used to detect phytoplankton blooms if the PEA algorithm is applied. The OLCI PEA algorithm was applied to determine the variations in phytoplankton blooms under the influences of strong precipitation events. The most obvious increases in chlorophyll concentration (from 20 to 30 mg m(-3)) were observed in the middle river channel upstream of the Pearl River estuary after strong precipitation events. |
| 资助机构 | Strategic Priority Research Program of the Chinese Academy of SciencesChinese Academy of Sciences [XDA19060501, XDA13010404]; NSFCNational Natural Science Foundation of China (NSFC) [41876200, 41406196] ; Strategic Priority Research Program of the Chinese Academy of SciencesChinese Academy of Sciences [XDA19060501, XDA13010404]; NSFCNational Natural Science Foundation of China (NSFC) [41876200, 41406196] |
| 源URL | [http://ir.scsio.ac.cn/handle/344004/18201]  |
| 专题 | 南海海洋研究所_热带海洋环境国家重点实验室(LTO) |
| 作者单位 | 1.Sun Yat Sen Univ, Sch Marine Sci, Guangzhou 510006, Guangdong, Peoples R China 2.Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog LTO, Guangzhou 510301, Guangdong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Fenfen,Tang, Shilin,lfenfen@mail.sysu.edu.cn,et al. Evaluation of Red-Peak Algorithms for Chlorophyll Measurement in the Pearl River Estuary[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2019,57(11):8928, 8936. |
| APA | Liu, Fenfen,Tang, Shilin,lfenfen@mail.sysu.edu.cn,&sltang@scsio.ac.cn.(2019).Evaluation of Red-Peak Algorithms for Chlorophyll Measurement in the Pearl River Estuary.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,57(11),8928. |
| MLA | Liu, Fenfen,et al."Evaluation of Red-Peak Algorithms for Chlorophyll Measurement in the Pearl River Estuary".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 57.11(2019):8928. |
入库方式： OAI收割
来源：南海海洋研究所
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