摘要
综述了目前国内外浒苔遥感监测方法,阐述了单波段阈值分割法、多波段比值法和辐射传输模型法的优缺点,指出多波段比值法是应用最广和有效的方法,主要有双波段比值法、归一化植被指数法、浮游植物指数法和归一化藻类指数法4种。辐射传输模型法主要用于水下悬浮浒苔的监测,目前应用较少,还处于起步阶段。而研究浒苔与其他浮游植物的差异,深入研究水下悬浮浒苔的遥感监测方法,发展解决现有监测能力不足与监测信息使用者需求之间矛盾的手段和方法是未来浒苔遥感监测的主要研究方向。
The massive bloom of the green macroalgae Ulvaprolifera is called ＂green tide＂. The ＂green tide＂ event frequently happens in the world and is known as an oceanic disaster due to its bad effects on the marine ecological environment, coastal scene, seashore tourism and water sports. Remote sensing has the advantages over the conventional methods in oceanic monitoring because of its great capabilities of large - area, multi - resolution, multi - spectrum, quick and dynamic observations. Remote sensing has become a necessary method in the study of the origin, spatial pattern, evolution, size and movement of ＂green tide＂. At present, 3 main approaches detecting Ulvaprolifera have been developed, which are single band threshold image segmentation method, multi - band ratio method and radiation transmission model method. The multi -band ratio method is most widely used, which includes two -band ratio algorithm, normalized differential vegetation index, floating algae index and normalized difference algae index. The method of radiation transmission model is mainly used to monitor Ulvaprolifera suspended in water, and its study is just in the initial stage. Further researches on distinguishing the difference between the spectrum of Ulvaprolifera and other type of floating algae, monitoring Ulvaprolifera suspended in water, solving the contradiction between the deficiency of monitoring capability and the needs of users are the directions of Ulvaprolifera monitoring in the future.
出处
《国土资源遥感》
CSCD
北大核心
2013年第1期7-12,共6页
Remote Sensing for Land & Resources
基金
国家海洋局海洋环境监管能力建设专项项目(编号:2200205)资助
关键词
浒苔
绿潮
遥感监测方法
研究进展
Ulvaprolifera
green tide
remote sensing monitoring
advances
作者简介
叶娜（1977-），女，高级工程师，博士，主要从事遥感与GIS等信息技术在海洋环境监管中的应用研究。E—mail：yena0305@163．com。
通信作者：田静（1979-），女，副研究员，博士，主要从事遥感水文方面的研究。E—mail：tianj．04b@igsnrr．ac．cn。
