A UAV and S2A data-based estimation of the initial biomass of green algae in the South Yellow Sea | |
Xu, Fuxiang; Gao, Zhiqiang; Jiang, Xiaopeng; Shang, Weitao; Ning, Jicai; Song, Debin; Ai, Jinquan | |
发表期刊 | MARINE POLLUTION BULLETIN |
ISSN | 0025-326X |
2018-03 | |
卷号 | 128页码:408-414 |
关键词 | Green algae Biomass UAV S2A Pyropia aquaculture raft Yellow Sea |
研究领域 | Environmental Sciences & Ecology ; Marine & Freshwater Biology |
DOI | 10.1016/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 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.yic.ac.cn/handle/133337/24497 |
专题 | 中国科学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 中国科学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 7714 | Xu, 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. |
APA | Xu, 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. |
MLA | Xu, 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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