YIC-IR  > 海岸带信息集成与综合管理实验室
Validation of MODIS-based monitoring for a green tide in the Yellow Sea with the aid of unmanned aerial vehicle
Xu, Fuxiang1,2; Gao, Zhiqiang1; Shang, Weitao1; Jiang, Xiaopeng1; Zheng, Xiangyu1,2; Ning, Jicai1; Song, Debin1,2; Gao, ZQ (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China. zqgao@yic.ac.cn
2017-03-29
发表期刊JOURNAL OF APPLIED REMOTE SENSING
ISSN1931-3195
卷号11页码:12007
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
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)
关键词Green Tide Modis Validation Unmanned Aerial Vehicle Research Vessel
作者部门海岸带信息集成与综合管理实验室
学科领域Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
DOI10.1117/1.JRS.11.012007
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)
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收录类别SCI
关键词[WOS]LARGEST MACROALGAL BLOOM ; CYANOBACTERIAL BLOOMS ; SEAWEED AQUACULTURE ; SATELLITE SENSORS ; CHINA ; AUSTRALIA ; EXPANSION ; PROLIFERA ; BIOMASS ; COVER
文章类型Article
语种英语
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号WOS:000397752800001
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被引频次:3[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.cn/handle/133337/22035
专题海岸带信息集成与综合管理实验室
通讯作者Gao, ZQ (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China. zqgao@yic.ac.cn
作者单位1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
第一作者单位中国科学院烟台海岸带研究所
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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.
APA Xu, Fuxiang.,Gao, Zhiqiang.,Shang, Weitao.,Jiang, Xiaopeng.,Zheng, Xiangyu.,...&Gao, ZQ .(2017).Validation of MODIS-based monitoring for a green tide in the Yellow Sea with the aid of unmanned aerial vehicle.JOURNAL OF APPLIED REMOTE SENSING,11,12007.
MLA Xu, Fuxiang,et al."Validation of MODIS-based monitoring for a green tide in the Yellow Sea with the aid of unmanned aerial vehicle".JOURNAL OF APPLIED REMOTE SENSING 11(2017):12007.
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