Computer Science
Scientific paper
Mar 1994
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994adspr..14..217r&link_type=abstract
Advances in Space Research, Volume 14, Issue 3, p. 217-226.
Computer Science
2
Scientific paper
The synergistic use of SAR data and high resolution satellite imagery in the visible and near infrared for environmental monitoring in Alpine areas has been investigated. Techniques have been developed for compensating variations in surface illumination due to topography. The compensation of illumination effects of the optical data is based on calculations of radiative transfer through the atmosphere in combination with digital elevation data. The topographic effects in the SAR data are compensated by the use of a geometric illumination model in combination with angular backscattering functions. Results of classifications of various surface types, including snow cover, glaciers, and alpine vegetation, are shown based on Landsat Thematic Mapper (TM) and polarimetric AIRSAR data of a test site in the Austrian Alps. The two sensor types were found to be highly complementary, with TM enabling accurate mapping of slowly changing features such as boundaries of glaciers and vegetated areas. SAR was found superior for monitoring dynamic features like the extent of snow areas and for detecting target characteristics related to dielectric and structural properties.
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