globalchange  > 过去全球变化的重建
DOI: 10.1016/j.marpolbul.2018.01.061
Scopus记录号: 2-s2.0-85044387446
论文题名:
A UAV and S2A data-based estimation of the initial biomass of green algae in the South Yellow Sea
作者: Xu F.; Gao Z.; Jiang X.; Shang W.; Ning J.; Song D.; Ai J.
刊名: Marine Pollution Bulletin
ISSN: 0025-326X
EISSN: 1879-3363
出版年: 2018
卷: 128
起始页码: 408
结束页码: 414
语种: 英语
英文关键词: Biomass ; Green algae ; Pyropia aquaculture raft ; S2A ; UAV ; Yellow Sea
Scopus学科分类: Agricultural and Biological Sciences: Aquatic Science ; Earth and Planetary Sciences: Oceanography ; Environmental Science: Pollution
英文摘要: Previous studies have shown that the initial biomass of green tide was the green algae attaching to Pyropia aquaculture rafts in the Southern Yellow Sea. In this study, the green algae was identified with unmanned aerial vehicle (UAV), an biomass estimation model was proposed for green algae biomass in the radial sand ridge area based on Sentinel-2A image (S2A) and UAV images. The result showed that the green algae was detected highly accurately with the normalized green-red difference index (NGRDI); approximately 1340 tons and 700 tons of green algae were attached to rafts and raft ropes respectively, and the lower biomass might be the main cause for the smaller scale of green tide in 2017. In addition, UAV play an important role in raft-attaching green algae monitoring and long-term research of its biomass would provide a scientific basis for the control and forecast of green tide in the Yellow Sea. © 2018 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/88447
Appears in Collections:过去全球变化的重建
全球变化的国际研究计划

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作者单位: Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China; University of Chinese Academy of Sciences, Beijing, China; Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China; School of Public Administration, Shandong Technology and Business University, Yantai, China; Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, China

Recommended Citation:
Xu F.,Gao Z.,Jiang X.,et al. A UAV and S2A data-based estimation of the initial biomass of green algae in the South Yellow Sea[J]. Marine Pollution Bulletin,2018-01-01,128
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