Mapping of snow covered area with Radarsat in Norway
Malnes, E.; Guneriussen, T.
Geoscience and Remote Sensing Symposium, 2002. IGARSS apos;02. 2002 IEEE International
Volume 1, Issue , 2002 Page(s): 683 - 685 vol.1
Digital Object Identifier 10.1109/IGARSS.2002.1025145
Summary: Estimates of snow cover area (SCA) can be obtained from spaceborne SAR sensors such as ERS, Radarsat and Envisat ASAR. A number of algorithms using backscattering images and interferometric coherence have been proposed and documented. It has also been shown that multifrequency and polarization SAR instruments gives enhanced snow mapping capabilities. In this paper we suggest improvements to the Nagler SCA-algorithm and apply them to Radarsat data in the Norwegian mountains. The effect of reduced backscattering due to increased incidence angle is discussed. The effect of mixed pixels (wet snow and other constituents) is addressed, and a sub-pixel method for snow classification is suggested. We also suggest classifying snow on lakes and in forests with different algorithms and separate masks, since the backscattering properties vary from class to class. Finally we try to assess the classification errors by statistical methods.
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