抄録
A new composite method is proposed. This method is designed to apply to the global data set and it is composed of three consecutive criteria which are based on NDVI, brightness temperature and scan angle, respectively. This method is applied to the global data set with 4km resolution which is processed by Center for Environmental Remote Sensing (CEReS), Chiba University. The comparison with Maximum Value Composite (MVC) and maximum brightness temperature composite showed some advantages of this method. Clouds over low NDVI region as desert are eliminated due to brightness temperature criterion. Neighboring pixels are more frequently selected with same data due to scan angle criterion. It shows that the atmospheric condition and the observation geometry is similar over a wide area. The scan angle distribution is centered on nadir, therefore, effects of atmosphere and bidirectional reflectance, size of footprint and overlap between adjacent pixels are reduced.
