对FY2C时间序列图像的研究分析表明，时间序列云图的像元亮温／温度时较差(一小时之内亮温／温度差，也称亮温／温度时变化)规律可以用于标称图云检测，能较好地实现运动剧烈的云和运动云区的边缘云检测。以中国区域内地面站资料为标准进行对比分析，利用时间序列结合晴空背景场方法进行云检测，在2007年1月和6月的准确率分别为72．89%和79．94%。与目前业务云检测相比，利用静止卫星高时间分辨率特征在一定程度上改善了低云和薄云的检测。利用了静止卫星高时间分辨率的特点，并为动态求取阈值提供了一种新思路，具有一定的应用价值。

The study of FY2C time series imageries shows that the hour range of the pixel's brightness temperature(BT)/temperature(the difference of brightness temperature/temperature within one hour, also called as the hourly change of BT/temperature) in time series cloud imageries can be utilized in the cloud detection of nominal imageries, and in identifying clouds that are developing rapidly or located at the boundaries of the moving clouds. Using the data from Chinese ground stations as a standard, the comparative study is carried out. The combined use of time series imageries and the clear background method in cloud detection brings the accuracy of 72.89% and 79.94% in January and June 2007 respectively. Compared with the current operational cloud detection, the detection of low clouds and thin clouds is improved to a certain degree by the use of the high time resolution of stationary satellites. Using the high time resolution of stationary satellites, a new idea for dynamically obtaining thresholds is provided, and can be put into application in further.