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基于VB-FAH指数的黄海绿潮遥感监测及对比研究
郑翔宇1,2, 高志强1, 徐福祥1, 宁吉才1, 宋德彬1, 郑丙吉3
1.中国科学院烟台海岸带研究所;2.中国科学院大学;3.即墨市国土资源局
摘要:
本文基于多源遥感数据,结合虚拟基线高度浮藻指数(VB-FAH)和人工辅助判读方法,对2015至2016年黄海发生的绿潮(大型绿藻—浒苔)进行了动态监测,并利用两景同步影像比较了GF-1 WFV和CBERS-04 WFI的监测结果,同时也对船载监测和卫星影像监测结果进行了比较。结果表明:CBERS-04 WFI数据的监测结果与GF-1 WFV数据相比产生了15.3%~37.32%左右的相对偏差,其主要原因是空间分辨率的差异导致的混合像元效应。通过卫星影像监测结果与船测数据叠加对比,可以发现其在Ⅲ级以上的绿潮数量级中相对监测精度较高。绿潮暴发的过程持续100天左右,四月底至五月初绿潮开始在苏北浅滩浊水区出现,随着外界因素逐渐达到适宜生长的条件,绿潮不断生长直至暴发,并随黄海表层流向北漂移,直至山东半岛南部沿岸,七月份和八月份是绿潮的消亡阶段,八月中旬绿潮基本消亡。本研究成果可为绿潮的防控提供有效的信息支持。
关键词:  遥感监测  多源数据  VB-FAH  浒苔  黄海
DOI:10.11759/hykx20160928002
分类号:X87
基金项目:青岛海洋科学与技术国家实验室鳌山科技创新计划项目(项目编号:2016ASKJ02);中国科学院战略性先导科技专项(A类)(XDA11020000);科技部基础支撑项目(2014FY210600);中国科学院重点部署项目(KZZD-EW-14)和中国科学院烟台海岸带所人才引进项目
Research on the remote sensing monitoring and comparison of green tide in the Yellow Sea based on VB-FAH index
Zheng Xiangyu1,2, Gao Zhiqiang1, Xu Fuxiang1, Ning Jicai1, Song Debin1, Zheng Bingji3
1.Yantai Institute of Coastal Zone Research,Chinese Academy of Sciences;2.University of Chinese Academy of Sciences;3.Jimo Land Resources Bureau
Abstract:
In this paper, based on multi-source remote sensing data, the green tide (Large green algae-Ulva prolifera) in the Yellow Sea in 2015 and 2016 has been monitored and analyzed through VB-FAH index and manual assisted interpretation method, then the monitoring results of GF-1 WFV and CBERS-04 WFI are compared with the two scene synchronous images, meanwhile, the results of ship monitoring and satellite image monitoring are also compared. The results show that when compared with GF-1 WFV data, the monitoring results of CBERS-04 WFI data produced a relative deviation of 15.3%~37.32%, the main reason is the mixed pixel effect caused by the difference of spatial resolution. By superimposing the monitoring results of satellite images on measured data for comparison and analysis, it can be found that the relative monitoring accuracy is higher above grade Ⅲ. The outbreak of green tide lasts about 100 days, from late April to early May, it began to appear in the turbidity zone of Northern Jiangsu shoal, with the external factors gradually reached the suitable growth conditions, the green tide kept on growing until the entire outbreak, and continue flowed northward by the surface flow in the Yellow Sea, finally arrived in the southern coast of Shandong Peninsula, July and August are the extinction stage of green tide, until mid-August, the green tide basically disappeared. The results of this study can provide effective information support for the prevention and control of the green tide.
Key words:  Remote sensing monitoring  multi-source data  VB-FAH  Ulva prolifera  the Yellow Sea  error analysis
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