主被动光学遥感探测水下悬浮绿潮

项目名称： 主被动光学遥感探测水下悬浮绿潮

项目编号： No.41476159

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 天文学、地球科学

项目作者： 崔廷伟

作者单位： 自然资源部第一海洋研究所

项目金额： 80万元

中文摘要： 绿潮是大型浮游植物在特定的环境条件下爆发性繁殖、聚集的生态异常现象。2007年以来，浒苔绿潮灾害在黄海海域连年发生，渐呈常态化之势，引起全社会的高度关注。 掌握绿潮致灾机制、有效应对绿潮灾害、科学评估绿潮对环境的影响，均需要对绿潮完整的生消过程进行实时、准确的监测。在绿潮灾害的中后期，海面漂浮的绿潮藻将下沉至水面以下，在不同深度处长时间悬浮；目前，对于水下悬浮绿潮的时空分布还知之甚少，探测方法的不足是重要原因。基于船舶走航的调查方式，不适应大范围、同步、快速的水下悬浮绿潮调查的需求；而基于遥感的水下悬浮绿潮探测方法研究尚属空白。 本项目的目标是揭示水下悬浮绿潮的蓝绿激光回波特性和海面高光谱响应特性，发展融合蓝绿激光和高光谱离水辐射特性的水下悬浮绿潮主被动光学遥感探测方法，为水下悬浮绿潮的大范围探查、绿潮生消过程时空演变与环境影响研究提供技术方法支撑。

中文关键词： 主被动；光学遥感；悬浮绿潮；探测

英文摘要： Green tide is the abnormal ecological phenomenon that macroalgae bloom under certain circumstances. In every summer since 2007, the green tide dominated by Enteromorpha prolifera have been occurred in the Yellow Sea, which draws the great attention of the whole society. To learn the mechanism of the green tide, effectively deal with the disaster, and assess its environmental effect, we need monitor the whole precess of the green tide from its initial development to the final colapse. During the middle and final phases of the green tide process, the macroalgae that was floating on the surface will sink (or be submerged) and suspend at certain depths. But until now it is rarely known about the spatio-temporal distrbituion of the submerged macroalgae. One of the reasons is the lack of available detection method. Ship based detection techniques are not qualified for the synoptic and synchronous monitoring of the suspended macroalgae; whereas the remote sensing based method has not been developed yet. The aim of this project is to disclose the features of the blue-green lase return and the above-water hyperspectral responses of the submerged macroalgae, and develop the integrated active-passive optical remote sensing detection method. The output of the project will be helpful for the investigation of the suspended macroalgae in a large scale and research of the spatio-temporal distribution of the green tide.

英文关键词： active and passive;optical remote sensing;submerged macroalgae;detection