In this paper, we illustrate the potential of the multicategory SVM as an efficient cloud detection and classification algorithm for use in Earth Observing System models, which require knowledge of whether a radiance profile is cloud free, or not. If the profile is not cloud free, it is valuable to have information concerning the type of cloud, for example ice or liquid water. We have applied the MSVM to simulated MODIS type channels data to classify the radiance profiles as clear, liquid clouds, or ice clouds, and the results are promising. Although this study is not yet comprehensive, it is believed that the MSVM will be a very useful tool for classification problems in atmospheric sciences.
Supplementary URL: http://www.stat.wisc.edu/~wahba/trindex.html