The Dynamics of Floating Macroalgae in the East China Sea and Its Vicinity Waters: A Comparison between 2017 and 2023

doi:10.3390/w15213797

	The Dynamics of Floating Macroalgae in the East China Sea and Its Vicinity Waters: A Comparison between 2017 and 2023
	Yu, Dingfeng 1,2,3,4; Li, Jinming 1,2,3,4; Xing, Qianguo5,6,7 ; An, Deyu 1,2,3,4; Li, Jinghu 5,6,7
发表期刊	WATER
	2023-11-01
卷号	15 期号:21 页码:15
关键词	machine learning floating algae remote sensing spectral features
DOI	10.3390/w15213797
通讯作者	Xing, Qianguo(qgxing@yic.ac.cn)
英文摘要	Ulva prolifera and Sargassum are two common floating macroalgae in China's coastal algal bloom events. Ulva prolifera frequently emerges concomitantly with Sargassum outbreaks, thereby presenting challenges to the monitoring of algal blooms, thereby presenting challenges to the monitoring of algae. To tackle the challenge of differentiating between Ulva prolifera and Sargassum, this study employs Sentinel-2 MSI data for spectral analysis. Notably, significant disparities in the Remote Top of Atmosphere Reflectance (Rtoa) between Ulva prolifera and Sargassum are observed. This study proposes a random forest-based algorithm for discriminating between Ulva prolifera and Sargassum in the regions of the Yellow Sea and East China Sea. The algorithm introduced in this study attains remarkable accuracy in distinguishing Ulva prolifera and Sargassum within Sentinel-2 MSI data, achieving identical F1 scores of 99.1% for both. Moreover, when tested with GF-1 WFV data, the algorithm showcases outstanding performance; this demonstrates the algorithm's robustness and its ability to mitigate the uncertainty linked to threshold selection. Simultaneously, a comparative analysis of algae distribution was conducted for both 2017 and the period from January to May 2023. Experimental results indicate that the algorithm exhibits high accuracy in distinguishing between Ulva prolifera and Sargassum. This capability will significantly enhance the monitoring of large algae in maritime regions; this holds crucial theoretical significance and offers substantial practical value in the realm of marine ecological conservation.
资助机构	The authors are thankful to the anonymous reviewers for their useful suggestions.
收录类别	SCI
语种	英语
关键词[WOS]	ULVA-PROLIFERA ; YELLOW ; BLOOMS
研究领域[WOS]	Environmental Sciences & Ecology ; Water Resources
WOS记录号	WOS:001099609300001
引用统计
文献类型	期刊论文
条目标识符	http://ir.yic.ac.cn/handle/133337/33247
专题	中国科学院海岸带环境过程与生态修复重点实验室中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心
通讯作者	Xing, Qianguo
作者单位	1.Qilu Univ Technol, Inst Oceanog Instrumentat, Shandong Acad Sci, Qingdao 266100, Peoples R China 2.Shandong Prov Key Lab Marine Monitoring Instrument, Qingdao 266100, Peoples R China 3.Natl Engn & Technol Res Ctr Marine Monitoring Equi, Qingdao 266100, Peoples R China 4.Qilu Univ Technol, Sch Ocean Technol Sci, Qingdao 266100, Peoples R China 5.Chinese Acad Sci, Yantai Inst Coastal Zone Res, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China 6.Shandong Key Lab Coastal Environm Proc, Yantai 264003, Peoples R China 7.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Yu, Dingfeng,Li, Jinming,Xing, Qianguo,et al. The Dynamics of Floating Macroalgae in the East China Sea and Its Vicinity Waters: A Comparison between 2017 and 2023[J]. WATER,2023,15(21):15.
APA	Yu, Dingfeng,Li, Jinming,Xing, Qianguo,An, Deyu,&Li, Jinghu.(2023).The Dynamics of Floating Macroalgae in the East China Sea and Its Vicinity Waters: A Comparison between 2017 and 2023.WATER,15(21),15.
MLA	Yu, Dingfeng,et al."The Dynamics of Floating Macroalgae in the East China Sea and Its Vicinity Waters: A Comparison between 2017 and 2023".WATER 15.21(2023):15.