A UAV and S2A data-based estimation of the initial biomass of green algae in the South Yellow Sea

被引:37
|
作者
Xu, Fuxiang [1 ,2 ,4 ]
Gao, Zhiqiang [1 ]
Jiang, Xiaopeng [1 ,3 ]
Shang, Weitao [1 ]
Ning, Jicai [1 ]
Song, Debin [1 ,2 ]
Ai, Jinquan [5 ]
机构
[1] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China
[4] Shandong Technol & Business Univ, Sch Publ Adm, Yantai 264005, Peoples R China
[5] East China Normal Univ, Key Lab Geog Informat Sci, Minist Educ, Shanghai 200241, Peoples R China
关键词
Green algae; Biomass; UAV; S2A; Pyropia aquaculture raft; Yellow Sea; LARGEST MACROALGAL BLOOM; ULVA-PROLIFERA BLOOMS; SEAWEED AQUACULTURE; WATER-QUALITY; TIDES; EXPANSION; PATTERNS; ORIGIN; RAFTS;
D O I
10.1016/j.marpolbul.2018.01.061
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
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.
引用
收藏
页码:408 / 414
页数:7
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