中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Inversion diffuse attenuation coefficient of photosynthetically active radiation based on deep learning

文献类型:期刊论文

作者Chen, Lei1,2,8; Pan, Xiaoju5; Zhang, Jie3,8; Demeaux, Charlotte Begouen4; Wang, Yongchao6,7
刊名OPTICS EXPRESS
出版日期2023-11-06
卷号31期号:23页码:37365-37380
ISSN号1094-4087
DOI10.1364/OE.499743
通讯作者Wang, Yongchao(wangyongchao_ocean@163.com)
英文摘要Accurate estimation of the diffuse attenuation coefficient of photosynthetically active radiation, Kd(PAR), is critical for understanding and modeling key physical, chemical, and biological processes in waters. In this study, a deep learning model (DLKPAR) was developed for remotely estimating Kd(PAR). Compared to the traditional empirical algorithms and semi -analytical algorithm, DLKPAR demonstrated an improvement in the model's stability and accuracy. By using in situ NOMAD data to evaluate the model's performance, DLKPAR had lower root mean square difference (RMSD; 0.028 vs. 0.030-0.048 m-1) and mean absolute relative difference (MARD; 0.14 vs. 0.17-0.25) and higher R2 (0.94 vs. 0.82-0.94). The statistical results of the matchup NOMAD and Argo data to the MODIS also indicated DLKPAR improves the inversion accuracy of Kd(PAR) and could be applied to remotely estimate Kd(PAR) in the global oceans. Therefore, we anticipate that DLKPAR could yield reliable Kd(PAR) values from ocean color remote sensing, providing an accurate estimation of visible light attenuation in the upper ocean and facilitating biogeochemical cycle research.
WOS关键词INHERENT OPTICAL-PROPERTIES ; AVAILABLE RADIATION ; ABSORPTION-COEFFICIENT ; OCEANIC WATERS ; CHLOROPHYLL-A ; LAKE TAIHU ; COLOR ; MATTER ; ULTRAVIOLET ; VALIDATION
资助项目National Natural Science Foundation of China[42266005] ; Finance Science and Technology Project of Hainan Province[ZDYF2021GXJS037] ; Major Science and Technology Plan Project of Hainan Province[ZDKJ202017-02-01] ; National Natural Science Foundation of China Key Program[61931025] ; National Natural Science Foundation of China Key Program[U1906217] ; Key Laboratory of Space Ocean Remote Sensing and Application Open Fund[202301002]
WOS研究方向Optics
语种英语
出版者Optica Publishing Group
WOS记录号WOS:001106005000001
源URL[http://ir.qdio.ac.cn/handle/337002/184034]  
专题中国科学院海洋研究所
通讯作者Wang, Yongchao
作者单位1.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R China
2.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China
3.Minist Nat Resources, Inst Oceanog 1, Qingdao 266061, Peoples R China
4.Univ Maine, Sch Marine Sci, Orono, ME 04469 USA
5.Hainan Trop Ocean Univ, Coll Marine Sci & Technol, Yazhou Bay Innovat Res Inst, Sanya 572022, Peoples R China
6.Tianjin Res Inst Water Transport Engn, Natl Engn Res Ctr Port Hydraul Construct Techno, Tianjin 300456, Peoples R China
7.Minist Nat Resources, Key Lab Space Ocean Remote Sensing & Applicat, Beijing 100081, Peoples R China
8.China Univ Petr East China, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China
推荐引用方式
GB/T 7714
Chen, Lei,Pan, Xiaoju,Zhang, Jie,et al. Inversion diffuse attenuation coefficient of photosynthetically active radiation based on deep learning[J]. OPTICS EXPRESS,2023,31(23):37365-37380.
APA Chen, Lei,Pan, Xiaoju,Zhang, Jie,Demeaux, Charlotte Begouen,&Wang, Yongchao.(2023).Inversion diffuse attenuation coefficient of photosynthetically active radiation based on deep learning.OPTICS EXPRESS,31(23),37365-37380.
MLA Chen, Lei,et al."Inversion diffuse attenuation coefficient of photosynthetically active radiation based on deep learning".OPTICS EXPRESS 31.23(2023):37365-37380.

入库方式: OAI收割

来源:海洋研究所

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