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DOI | 10.1016/j.marpolbul.2019.110678 |
Remote sensing methods for biomass estimation of green algae attached to nursery-nets and raft rope | |
Jiang X.; Gao Z.; Zhang Q.; Wang Y.; Tian X.; Shang W.; Xu F. | |
发表日期 | 2020 |
ISSN | 0025326X |
卷号 | 150 |
英文摘要 | Accurate estimation of the biomass of raft-attached green algae is important for predicting the scale of green-tides in the Yellow Sea, China. In this study, two different biomass estimation methods are proposed: green algae attached to nursery-net (GAAN) and green algae attached to rope (GAAR). The GAAN method involves the use of images obtained using an unmanned aerial vehicle (UAV), high-resolution satellite images, and data from a statistical yearbook. The GAAR method uses high-resolution satellite images and data from a field sample survey. The results showed that the biomass of GAAN and GAAR in the Subei Shoal during 2017 was 8868 tons and 2974 tons respectively. A longer-term study of the biomass of GAAN and GAAR could provide quantitative information for the earnings forecasts of Porphyra yezoensis and for green-tide prevention. © 2019 Elsevier Ltd |
英文关键词 | Attached algae; Biomass estimation; Green tide; Subei shoal; Unmanned aerial vehicle |
语种 | 英语 |
scopus关键词 | Antennas; Biomass; Remote sensing; Rope; Unmanned aerial vehicles (UAV); Accurate estimation; Attached algae; Biomass estimation; Green tides; High resolution satellite images; Porphyra yezoensis; Quantitative information; Subei shoal; Algae; algal bloom; biomass; estimation method; green alga; image analysis; remote sensing; satellite imagery; unmanned vehicle; article; biomass; green alga; nonhuman; nursery; Porphyra; quantitative analysis; satellite imagery; biomass; China; environmental monitoring; eutrophication; procedures; remote sensing; Ulva; algae; Chlorophyta; Porphyra yezoensis; Biomass; China; Chlorophyta; Environmental Monitoring; Eutrophication; Remote Sensing Technology; Ulva |
来源期刊 | Marine Pollution Bulletin
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/149445 |
作者单位 | Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, 264003, China; CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266071, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China; School of Public Administration, Shandong Technology and Business University, Yantai, 264005, China |
推荐引用方式 GB/T 7714 | Jiang X.,Gao Z.,Zhang Q.,et al. Remote sensing methods for biomass estimation of green algae attached to nursery-nets and raft rope[J],2020,150. |
APA | Jiang X..,Gao Z..,Zhang Q..,Wang Y..,Tian X..,...&Xu F..(2020).Remote sensing methods for biomass estimation of green algae attached to nursery-nets and raft rope.Marine Pollution Bulletin,150. |
MLA | Jiang X.,et al."Remote sensing methods for biomass estimation of green algae attached to nursery-nets and raft rope".Marine Pollution Bulletin 150(2020). |
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