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题名:
Validation of MODIS-based monitoring for a green tide in the Yellow Sea with the aid of unmanned aerial vehicle
作者: Xu, Fuxiang1,2; Gao, Zhiqiang1; Shang, Weitao1; Jiang, Xiaopeng1; Zheng, Xiangyu1,2; Ning, Jicai1; Song, Debin1,2
刊名: JOURNAL OF APPLIED REMOTE SENSING
ISSN号: 1931-3195
出版日期: 2017-03-29
卷号: 11, 页码:12007
关键词: green tide ; MODIS ; validation ; unmanned aerial vehicle ; research vessel
学科分类: Environmental Sciences & Ecology; Remote Sensing; Imaging Science & Photographic Technology
DOI: 10.1117/1.JRS.11.012007
产权排序: [Xu, Fuxiang; Gao, Zhiqiang; Shang, Weitao; Jiang, Xiaopeng; Zheng, Xiangyu; Ning, Jicai; Song, Debin] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China; [Xu, Fuxiang; Zheng, Xiangyu; Song, Debin] Univ Chinese Acad Sci, Beijing, Peoples R China
通讯作者: Gao, ZQ (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China. zqgao@yic.ac.cn
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 Terra moderate resolution imaging spectroradiometer (MODIS) has low detection and characterization efficiency when mapping a green tide (Ulva prolifera) in the Yellow Sea. To quantify the uncertainty in mapping of the green tide using MODIS data, comparisons were conducted between quasi synchronous MODIS images and in situ observation data, as well as an unmanned aerial vehicle (UAV) image. The results show that MODIS images could detect the location of large (> 100 m) floating green algae patches with good positional accuracy but tended to ignore the existence of small patches less than 10 m in width. The floating macroalgae area extracted using MODIS was several times larger than the area mapped using the UAV image. The Sentinel-2 multispectral instrument, the Chinese high resolution GF-1 wide field camera, and the Chinese HJ-1 charge-coupled device are recommended for early green tide detection, whereas MODIS is suitable for green tide monitoring. The UAV could also play an important role in regional green tide monitoring with the advantages of flexibility, smaller dimensions, high spatial resolution, and low cost. (C) 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
研究领域[WOS]: Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
项目资助者: Aoshan Science and Technology Innovation Program of the Qingdao National Laboratory for Marine Science and Technology(2016ASKJ02) ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDA11020702) ; Basic Special Program of the Ministry of Science and Technology(2014FY210600) ; Key Research Program of the Chinese Academy of Sciences(KZZD-EW-14)
关键词[WOS]: LARGEST MACROALGAL BLOOM ; CYANOBACTERIAL BLOOMS ; SEAWEED AQUACULTURE ; SATELLITE SENSORS ; CHINA ; AUSTRALIA ; EXPANSION ; PROLIFERA ; BIOMASS ; COVER
文章类型: Article
收录类别: SCI
原文出处: 查看原文
语种: 英语
WOS记录号: WOS:000397752800001
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.yic.ac.cn/handle/133337/22035
Appears in Collections:海岸带信息集成与综合管理实验室_期刊论文

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作者单位: 1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China

Recommended Citation:
Xu, Fuxiang,Gao, Zhiqiang,Shang, Weitao,et al. Validation of MODIS-based monitoring for a green tide in the Yellow Sea with the aid of unmanned aerial vehicle[J]. JOURNAL OF APPLIED REMOTE SENSING,2017,11:12007.
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文件名: Validation of MODIS-based monitoring for a green tide in the Yellow Sea with the aid of unmanned aerial vehicle.pdf
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