Assessment of thin cirrus and low cloud over snow by means of the maximum likelihood method

Cirrus clouds and low clouds over snow are sometimes difficult to assess by common retrieval methods. In the case of cirrus the reason is the highly variable optical depth while low clouds have approximately the same temperature and reflection properties as snow covered mountains (or plains). An empirical interactive method is described, which allows to classify with great detail clouds of the described types and to determine the fractional coverage of each cloud type as seen from the satellite. The statistical properties of the cloud classes are determined by analyzing small areas of uniform cloudiness. The algorithms applied to pairs of spectral images is the standard maximum likelihood method.