Estimation and verification of green tide biomass based on UAV remote sensing

doi:10.1007/s00343-023-3113-6

YIC-IR

	Estimation and verification of green tide biomass based on UAV remote sensing
	Jiang, Xiaopeng 1,2; Gao, Zhiqiang1,2 ; Wang, Zhicheng 1,2,3
发表期刊	JOURNAL OF OCEANOLOGY AND LIMNOLOGY
ISSN	2096-5508
	2024-03-18
页码	11
关键词	green tide biomass estimation quantitative technique Yellow Sea unmanned aerial vehicle (UAV) remote sensing (RS)
DOI	10.1007/s00343-023-3113-6
通讯作者	Gao, Zhiqiang(zqgao@yic.ac.cn)
英文摘要	Since 2007, the Yellow Sea green tide has broken out every summer, causing great harm to the environment and society. Although satellite remote sensing (RS) has been used in biomass research, there are several shortcomings, such as mixed pixels, atmospheric interference, and difficult field validation. The biomass of green tide has been lacking a high-precision estimation method. In this study, high-resolution unmanned aerial vehicle (UAV) RS was used to quantitatively map the biomass of green tides. By utilizing experimental data from previous studies, a robust relationship was established to link biomass to the red-green-blue floating algae index (RGB-FAI). Then, the lab-based model for green tide biomass from visible images taken by the UAV camera was developed and validated by field measurements. Results show that the accurate and cost-effective method is able to estimate the green tide biomass and its changes in given local waters of the near and far seas. The study provided an effective complement to the traditional satellite RS, as well as high-precision quantitative techniques for decision-making in disaster management.
资助机构	Fundamental Research Projects of Science & Technology Innovation and Development Plan in Yantai City ; Natural Science Foundation of Shandong Province, China ; Seed Project of Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences ; NSFC Fund Project
收录类别	SCI
语种	英语
关键词[WOS]	YELLOW SEA ; AQUACULTURE
研究领域[WOS]	Marine & Freshwater Biology ; Oceanography
WOS记录号	WOS:001187310600001
引用统计
文献类型	期刊论文
条目标识符	http://ir.yic.ac.cn/handle/133337/34920
专题	中国科学院烟台海岸带研究所
通讯作者	Gao, Zhiqiang
作者单位	1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China 2.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Shandong Key Lab Coastal Environm Proc, Yantai 264003, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Jiang, Xiaopeng,Gao, Zhiqiang,Wang, Zhicheng. Estimation and verification of green tide biomass based on UAV remote sensing[J]. JOURNAL OF OCEANOLOGY AND LIMNOLOGY,2024:11.
APA	Jiang, Xiaopeng,Gao, Zhiqiang,&Wang, Zhicheng.(2024).Estimation and verification of green tide biomass based on UAV remote sensing.JOURNAL OF OCEANOLOGY AND LIMNOLOGY,11.
MLA	Jiang, Xiaopeng,et al."Estimation and verification of green tide biomass based on UAV remote sensing".JOURNAL OF OCEANOLOGY AND LIMNOLOGY (2024):11.