Satellite remote sensing is a convenient tool for studying snow and glacier
ice, allowing us to conduct research over large and otherwise inaccessible
areas. This paper reviews various methods for measuring snow and glacier i
ce properties with satellite remote sensing. These methods have been improv
ing with the use of new satellite sensors, like the synthetic aperture rada
r (SAR) during the last decade, leading to the development of new and power
ful methods, such as SAR interferometry for glacier velocity, digital eleva
tion model generation df ice sheets, or snow cover mapping. Some methods st
ill try to overcome the limitations of present sensors, but future satellit
es will have much increased capability, for example, the ability to measure
the whole optical spec trum or SAR sensors with multiple polarization or f
requencies. Among the methods presented are the satellite-derived determina
tion of surface albedo, snow extent, snow volume, snow grain size, surface
temperature, glacier facies, glacier velocities, glacier extent, and ice sh
eet topography. In this review, emphasis is put on the principles and theor
y of each satellite remote sensing method. An extensive list of references,
with an emphasis on studies from the 1990s, allows the reader to delve int
o specific topics.