Taking China as the test area

the three kinds of methods for detecting the cloud and snow on Spot Vegetation S10 images are compared. According to the comparison

BISE is the best for detecting cloud among the three; the cloud extracted by the status map (SM) is too little; cloud and the ice and snow extracted by the detector V2.0 overlap each other. The averaging of timely neighboring (before and after the cloud pixels) cloudy (or ice and snow)-free pixels is adopted to remove cloud

ice

and snow. The result is valuable for noise reduction and application accuracy improvement of Spot Vegetation S10.