Deriving the Vertical Variations in the Diffuse Attenuation Coefficient of Photosynthetically Available Radiation in the North Pacific Ocean from Remote Sensing
文献类型:期刊论文
作者 | Chen, Lei3,4,5; Zhang, Jie3,6; Pan, Xiaoju2; Shi, Peng1; Zhang, Xiaobo7,8 |
刊名 | REMOTE SENSING |
出版日期 | 2023-06-01 |
卷号 | 15期号:12页码:17 |
关键词 | diffuse attenuation coefficient photosynthetically available radiation vertical variation remote sensing North Pacific |
DOI | 10.3390/rs15123023 |
通讯作者 | Pan, Xiaoju(xiaojupan@hntou.edu.cn) |
英文摘要 | Diffuse attenuation coefficient of photosynthetically available radiation (PAR), K-PAR, is a key product of ocean color remote sensing. Current ocean color algorithms generally detect only the average K-PAR within one optical depth, K-PAR(RS). Due to the marked vertical variations of K-PAR, knowledge of K-PAR(RS) is insufficient to accurately evaluate the submarine light field. By using field in situ observations, a two-step approach, based on the development of an ocean color algorithm for K-PAR(RS) and the relationships between K-PAR(RS) and the average K-PAR from the surface down to depth Z ((K) over bar (Z)(PAR)), was developed to remotely estimate the vertical variations in (K) over bar (Z)(PAR) in the North Pacific from the MODerate-resolution Imaging Spectrometer (MODIS) imagery. The root mean square difference of log((K) over bar (Z)(PAR)) in depths within the euphotic zone was around +/- 0.059 (in unit of m(-1) for (K) over bar (Z)(PAR)), which corresponded to a deviation of +/- 15% for the estimated (K) over bar (Z)(PAR) and the penetration depths of PAR. Our study may provide a promising approach to detect the vertical variations of (K) over bar (Z)(PAR) and underwater PAR distributions in the North Pacific Ocean. |
WOS关键词 | SEA ; VARIABILITY ; WATERS ; MODEL |
资助项目 | Finance Science and Technology Project of Hainan Province[ZDYF2021GXJS037] ; National Natural Science Foundation of China[42266005] ; National Natural Science Foundation of China[61931025] ; National Natural Science Foundation of China[U1906217] ; Major Science and Technology Plan Project of Hainan Province[ZDKJ202017-02-01] ; Key Deployment Project of Centre for Ocean Mega-Research of Science, Chinese Academy of Sciences[COMS2019Q05] ; Scientific Research Foundation of Hainan Tropical Ocean University[RHDRC202103] ; Spring Voyage of the Comprehensive Survey of Water Bodies in the Central and Southern Western Pacific[GASI-02-pac-stmsspr] |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
出版者 | MDPI |
WOS记录号 | WOS:001021586300001 |
源URL | [http://ir.qdio.ac.cn/handle/337002/182481] |
专题 | 中国科学院海洋研究所 |
通讯作者 | Pan, Xiaoju |
作者单位 | 1.Tongji Univ, Project Management Off China Natl Sci Seafloor Obs, Shanghai 200082, Peoples R China 2.Hainan Trop Ocean Univ, Yazhou Bay Innovat Inst, Coll Marine Sci & Technol, Sanya 572022, Peoples R China 3.China Univ Petr East China, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China 4.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China 5.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R China 6.Minist Nat Resources, Inst Oceanog 1, Qingdao 266061, Peoples R China 7.Shandong Prov Key Lab Marine Ecol Environm & Disas, Qingdao 266033, Peoples R China 8.Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519000, Peoples R China |
推荐引用方式 GB/T 7714 | Chen, Lei,Zhang, Jie,Pan, Xiaoju,et al. Deriving the Vertical Variations in the Diffuse Attenuation Coefficient of Photosynthetically Available Radiation in the North Pacific Ocean from Remote Sensing[J]. REMOTE SENSING,2023,15(12):17. |
APA | Chen, Lei,Zhang, Jie,Pan, Xiaoju,Shi, Peng,&Zhang, Xiaobo.(2023).Deriving the Vertical Variations in the Diffuse Attenuation Coefficient of Photosynthetically Available Radiation in the North Pacific Ocean from Remote Sensing.REMOTE SENSING,15(12),17. |
MLA | Chen, Lei,et al."Deriving the Vertical Variations in the Diffuse Attenuation Coefficient of Photosynthetically Available Radiation in the North Pacific Ocean from Remote Sensing".REMOTE SENSING 15.12(2023):17. |
入库方式: OAI收割
来源:海洋研究所
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