Cloud identification over snow and ice has proved to be a difficult process
to automate due to the similarity in their visible and thermal properties.
a method is described here which utilises the nadir and forward views of t
he Along Track Scanning Radiometer to determine the height of the surface o
bserved to a nominal accuracy of +/- 1000 m (pixel resolution). A digital e
levation model allows the surface topography to be ascertained, with the re
mainder of high elevation features classed as cloud. Visual verification of
the resulting cloud masks indicates that the stereo-matcher identifies 10-
20 % more cloud than is recognised by the human eye, but nearly 100 % of cl
oud-free land identified by stereo-matching was confirmed by examination of
the images. Further validation of the cloud top heights using radiosonde d
ata, indicates 73 % of the stereo-matched heights to be within 500 m of the
radiosonde predicted cloud tops.