Validation of MODIS-based monitoring for a green tide in the Yellow Sea with the aid of unmanned aerial vehicle
文献类型：期刊论文
| 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
 |
| 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 |
| ISSN号 | 1931-3195 |
| 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 |
| 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) |
| 学科主题 | Environmental Sciences & Ecology; Remote Sensing; Imaging Science & Photographic Technology |
| 研究领域[WOS] | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 关键词[WOS] | LARGEST MACROALGAL BLOOM ; CYANOBACTERIAL BLOOMS ; SEAWEED AQUACULTURE ; SATELLITE SENSORS ; CHINA ; AUSTRALIA ; EXPANSION ; PROLIFERA ; BIOMASS ; COVER |
| 收录类别 | SCI |
| 原文出处 | 10.1117/1.JRS.11.012007 |
| 语种 | 英语 |
| WOS记录号 | WOS:000397752800001 |
| 源URL | [http://ir.yic.ac.cn/handle/133337/22035]  |
| 专题 | 烟台海岸带研究所_海岸带信息集成与综合管理实验室 烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室 |
| 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 |
| 推荐引用方式 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.,...&Song, Debin.(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. |
入库方式： OAI收割
来源：烟台海岸带研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。