Gu Xing-Fa, Chen Xing-Feng, Yin Qiu, Li Zheng-Qiang, Xu Hua, Shao Yun, Li Zi-Wei
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2011 Jun;31(6):1627-32.
In the summer 2008, Enteromorpha Prolifra broke out in Yellow Sea and East Sea on a large scale for the first time, and became a marine disaster. The authors constructed a stereoscopic monitoring system which monitored the disaster continuously, dynamically and in real time. The present paper introduced the construction of the stereoscopic monitoring system; through analyzing the spectral characteristics of Enteromorpha Prolifra and ocean water which were acquired in a field experiment, confirmed Enteromorpha Prolifra retrieval models based on multi-platform multi-sensor and multi-spectral remote sensing data, contrasted the different scale monitoring results, and analyzed the evolvement rules with time-series analysis. This system was applied to the Enteromorpha Prolifra emergency monitoring in the 29th Olympic sailing area. It was proved feasible and valuable for the Olympic safeguard.
2008年夏季,浒苔首次在黄海和东海大规模爆发,形成海洋灾害。作者构建了一套立体监测系统,对该灾害进行连续、动态、实时监测。本文介绍了立体监测系统的构建;通过分析野外实验获取的浒苔和海水光谱特征,确定了基于多平台、多传感器、多光谱遥感数据的浒苔反演模型,对比了不同尺度的监测结果,并采用时间序列分析方法分析了浒苔的演变规律。该系统应用于第29届奥运会帆船比赛海域浒苔应急监测,经实践验证,对奥运保障工作具有可行性和重要价值。