کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8871746 | 1622708 | 2018 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A UAV and S2A data-based estimation of the initial biomass of green algae in the South Yellow Sea
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موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
اقیانوس شناسی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A UAV and S2A data-based estimation of the initial biomass of green algae in the South Yellow Sea A UAV and S2A data-based estimation of the initial biomass of green algae in the South Yellow Sea](/preview/png/8871746.png)
چکیده انگلیسی
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 1340â¯tons and 700â¯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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Marine Pollution Bulletin - Volume 128, March 2018, Pages 408-414
Journal: Marine Pollution Bulletin - Volume 128, March 2018, Pages 408-414
نویسندگان
Fuxiang Xu, Zhiqiang Gao, Xiaopeng Jiang, Weitao Shang, Jicai Ning, Debin Song, Jinquan Ai,