Xu, Fuxiang; Gao, Zhiqiang
; Jiang, Xiaopeng; Shang, Weitao; Ning, Jicai; Song, Debin; Ai, Jinquan发表期刊MARINE POLLUTION BULLETIN
ISSN0025-326X
2018-03
卷号128页码:408-414
关键词Green algaeBiomassUAVS2APyropia aquaculture raftYellow Sea
研究领域Environmental Sciences & Ecology; Marine & Freshwater Biology
DOI10.1016/j.marpolbul.2018.01.061
产权排序[Xu, Fuxiang; Gao, Zhiqiang; Jiang, Xiaopeng; Shang, Weitao; Ning, Jicai; Song, Debin] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China; [Xu, Fuxiang; Song, Debin] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Jiang, Xiaopeng] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China; [Xu, Fuxiang] Shandong Technol & Business Univ, Sch Publ Adm, Yantai 264005, Peoples R China; [Ai, Jinquan] East China Normal Univ, Key Lab Geog Informat Sci, Minist Educ, Shanghai 200241, Peoples R China
作者部门海岸带信息集成与综合管理实验室
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.
文章类型Article
资助机构Aoshan Science and Technology Innovation Program of Qingdao National Laboratory for Marine Science and Technology [2016ASKJ02]; Strategic Priority Research Program of the Chinese Academy of Sciences [XDA11020702]; Basic Special Program of Ministry of Science and Technology [2014FY210600]
收录类别SCI
语种英语
关键词[WOS]LARGEST MACROALGAL BLOOM; ULVA-PROLIFERA BLOOMS; SEAWEED AQUACULTURE; WATER-QUALITY; CHINA; TIDES; EXPANSION; PATTERNS; ORIGIN; RAFTS
研究领域[WOS]Environmental Sciences; Marine & Freshwater Biology
WOS记录号WOS:000430645600047
引用统计被引频次：16[WOS][WOS记录][WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cnhttp://ir.yic.ac.cn/handle/133337/24497
专题中科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
中科院海岸带环境过程与生态修复重点实验室
作者单位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
推荐引用方式
GB/T 7714Xu, Fuxiang,Gao, Zhiqiang,Jiang, Xiaopeng,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,2018,128:408-414.
APAXu, Fuxiang.,Gao, Zhiqiang.,Jiang, Xiaopeng.,Shang, Weitao.,Ning, Jicai.,...&Ai, Jinquan.(2018).A UAV and S2A data-based estimation of the initial biomass of green algae in the South Yellow Sea.MARINE POLLUTION BULLETIN,128,408-414.
MLAXu, Fuxiang,et al."A UAV and S2A data-based estimation of the initial biomass of green algae in the South Yellow Sea".MARINE POLLUTION BULLETIN 128(2018):408-414.
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