针对固定分析区云检测阈值提取中存在的问题， 采用滑动分析区和嵌套分析区的方法改进云检测阈值提取方法.个例分析表明，夏季多积云，较少出现大片层云覆盖情况，由基本分析区获取的有效云检测阈值为49%，分析区调整为滑动分析区和嵌套分析区后，有效云检测阈值的比例提高至78.7%；冬季易出现大片层云，且云雪混杂，由基本分析区获取的有效云检测阈值为43%，分析区调整为滑动分析区和嵌套分析区后，有效云检测阈值的比例提高至74.88%.分析结果说明，采用滑动和嵌套分析区的方法，可有效改善动态云检测阈值的提取比例，改进云检测效果.

To improve the dynamic cloud detection threshold value， moving and nesting analysis area methods were used to improve the dynamic cloud detection threshold method. Example analysis indicates that a lot of cumulus cloud always appears and there is little stratus in summer, and in this case the effective cloud detection threshold value obtained by basis fixed analysis area is 49%. The proportion of effective cloud detection threshold value is enhanced to 78.7% after adjusting basis analysis area to moving and nesting analysis areas. In winter, stratus is a dominate cloud system, and it is easy to be distinguished from snow. The effective cloud detection threshold value is 43% by basis fixed analysis area in winter. The proportion of effective cloud detection threshold value is enhanced to 74.88% after adjusting basis analysis area to moving and nesting analysis areas. The analysis results show that the proportion of effective cloud detection threshold value is effectively enhanced by using moving and nesting analysis area method and the accuracy of cloud detection is also improved.