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.