海洋科学2017，Vol.41Issue(5)：71-79,9.DOI:10.11759/hykx20160928002
基于VB-FAH指数的黄海绿潮遥感监测及对比研究
Study of remote sensing monitoring and comparison of green tide in the Yellow Sea based on VB-FAH index
摘要
Abstract
Most current monitoring methods are based on single remote sensing data, and thus have considerable limitations. To compensate for spatial resolution and time resolution deficiencies, multi-source remote sensing data are used to capture the green tide (large green algae-Ulva prolifera) in the Yellow Sea in 2015 and 2016. Data are then monitored and analyzed through the VB-FAH index and a manual assisted interpretation method. Monitoring results of GF-1 WFV and CBERS-04 WFI are then compared with two scene synchronous images, and results of ship monitoring and satellite image monitoring are also compared. Results show that compared with GF-1 WFV data, monitoring results of CBERS-04 WFI data produce a relative deviation of 15.3％～37.32％; this is mainly at-tributed to the mixed pixel effect caused by the different spatial resolution. By superimposing the monitoring results of satellite images on measured data for comparison and analysis, it is found that the relative monitoring accuracy is higher above grade III. The green tide outbreak lasts about 100 days, from late April to early May. It initially ap-pears in the turbidity zone of the Northern Jiangsu Shoal, and external factors enable it to gradually reach suitable growth conditions. It then continues to grow until it becomes an outbreak, and then flows northwards by the Yellow Sea surface flow until it finally arrives on the southern coast of the Shandong Peninsula. July and August are the extinction stages of the green tide and by mid-August it has almost completely disappeared. Results of this study can be used to improve monitoring accuracy and provide effective information support for the prevention and con-trol of green tide.关键词
遥感监测/多源遥感数据/虚拟基线高度浮藻指数(VB-FAH)/绿潮/黄海Key words
remote sensing monitoring/multi-source data/virtual-baseline floating macro-algae height/green tide/the Yel-low Sea分类
资源环境引用本文复制引用
郑翔宇,高志强,徐福祥,宁吉才,宋德彬,郑丙吉..基于VB-FAH指数的黄海绿潮遥感监测及对比研究[J].海洋科学,2017,41(5):71-79,9.基金项目
科技部基础支撑项目(2014FY210600) （2014FY210600）
中国科学院战略性先导科技专项(A 类)(XDA11020000) （A 类）
中国科学院重点部署项目(KZZD-EW-14) （KZZD-EW-14）
中国科学院烟台海岸带研究所人才引进项目 （）
青岛海洋科学与技术国家实验室鳌山科技创新计划项目(2016ASKJ02) Basic Special Program of Ministry of Science and Technol-ogy, No. 2014FY210600 （2016ASKJ02）
Strategic Priority Research Program of the Chi-nese Academy of Sciences, No. XDA11020000 （）
Key Program of the Chi-nese Academy of Sciences, No. KZZD-EW-14 （）
Talent Fund of Yantai Institute of Coastal Zone Research, the Chinese Academy of Sciences （）
Aoshan Science and Technology Innovation Program of Qingdao National Laboratory for Marine Science and Technology, No. 2016ASKJ02 （）
