| 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
| |
| Source Publication | JOURNAL OF APPLIED REMOTE SENSING
 |
| ISSN | 1931-3195 |
| 2017-03-29 | |
| Volume | 11Pages:12007 |
| Keyword | Green Tide Modis Validation Unmanned Aerial Vehicle Research Vessel |
| DOI | 10.1117/1.JRS.11.012007 |
| Contribution Rank | [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 |
| Department | 海岸带信息集成与综合管理实验室 |
| Abstract | 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) |
| Subtype | Article |
| Funding Organization | 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) |
| Indexed By | SCI |
| Language | 英语 |
| WOS Keyword | LARGEST MACROALGAL BLOOM ; CYANOBACTERIAL BLOOMS ; SEAWEED AQUACULTURE ; SATELLITE SENSORS ; CHINA ; AUSTRALIA ; EXPANSION ; PROLIFERA ; BIOMASS ; COVER |
| WOS Research Area | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS ID | WOS:000397752800001 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.yic.ac.cn/handle/133337/22035 |
| Collection | 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 |
| Corresponding Author | Gao, ZQ (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China. zqgao@yic.ac.cn |
| Affiliation | 1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China |
| Recommended Citation GB/T 7714 | 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. |
| Files in This Item: | Download All | |||||
| File Name/Size | DocType | Version | Access | License | ||
| Validation of MODIS-（6074KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Download | |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment