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  2. 烟台海岸带研究所
  3. 中国科学院烟台海岸带研究所
  4. 中科院海岸带环境过程与生态修复重点实验室
Estimation and verification of green tide biomass based on UAV remote sensing

文献类型：期刊论文

作者Jiang, Xiaopeng1,3; Gao, Zhiqiang1,3; Wang, Zhicheng1,2,3
刊名JOURNAL OF OCEANOLOGY AND LIMNOLOGY
出版日期2024-03-18
页码11
关键词green tide biomass estimation quantitative technique Yellow Sea unmanned aerial vehicle (UAV) remote sensing (RS)
ISSN号2096-5508
DOI10.1007/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.
WOS关键词YELLOW SEA ; AQUACULTURE
WOS研究方向Marine & Freshwater Biology ; Oceanography
语种英语
WOS记录号WOS:001187310600001
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
源URL[http://ir.yic.ac.cn/handle/133337/36174]  
专题烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
烟台海岸带研究所_海岸带信息集成与综合管理实验室
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.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Shandong Key Lab Coastal Environm Proc, Yantai 264003, 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.

入库方式： OAI收割

来源：烟台海岸带研究所

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