Inversion diffuse attenuation coefficient of photosynthetically active radiation based on deep learning

doi:10.1364/OE.499743

IOCAS-IR

	Inversion diffuse attenuation coefficient of photosynthetically active radiation based on deep learning
	Chen, Lei1,2,3 ; Pan, Xiaoju 4; Zhang, Jie1,5 ; Demeaux, Charlotte Begouen 6; Wang, Yongchao 7,8
	2023-11-06
发表期刊	OPTICS EXPRESS
ISSN	1094-4087
卷号	31 期号:23 页码:37365-37380
通讯作者	Wang, Yongchao(wangyongchao_ocean@163.com)
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.
DOI	10.1364/OE.499743
收录类别	SCI
语种	英语
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
WOS类目	Optics
WOS记录号	WOS:001106005000001
出版者	Optica Publishing Group
WOS关键词	INHERENT OPTICAL-PROPERTIES ; AVAILABLE RADIATION ; ABSORPTION-COEFFICIENT ; OCEANIC WATERS ; CHLOROPHYLL-A ; LAKE TAIHU ; COLOR ; MATTER ; ULTRAVIOLET ; VALIDATION
引用统计
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/184035
专题	中国科学院海洋研究所
通讯作者	Wang, Yongchao
作者单位	1.China Univ Petr East China, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China 2.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China 3.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R China 4.Hainan Trop Ocean Univ, Coll Marine Sci & Technol, Yazhou Bay Innovat Res Inst, Sanya 572022, Peoples R China 5.Minist Nat Resources, Inst Oceanog 1, Qingdao 266061, Peoples R China 6.Univ Maine, Sch Marine Sci, Orono, ME 04469 USA 7.Tianjin Res Inst Water Transport Engn, Natl Engn Res Ctr Port Hydraul Construct Techno, Tianjin 300456, Peoples R China 8.Minist Nat Resources, Key Lab Space Ocean Remote Sensing & Applicat, Beijing 100081, Peoples R China
第一作者单位	中国科学院海洋研究所
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.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
oe-31-23-37365.pdf（5349KB）	期刊论文	出版稿	限制开放	CC BY-NC-SA	浏览