Title :
Understanding the vegetation effect over snow-covered areas
Author :
Magagi, R. ; Bernier, M.
Author_Institution :
INRS-Eau, Sainte-Foy, Que., Canada
Abstract :
The aim of this paper is to understand the influence of northern coniferous forest on the backscattering coefficients of snow cover. Measurements of snow, ground and forest characteristics are used in a multilayer radiative transfer model to simulate the seasonal changes in the backscattering signatures of young black spruce with respect to the configuration of RADARSAT SAR. The results show that the sensitivity of the backscattering coefficients to the vegetation is affected by the snow/ground dielectric properties
Keywords :
backscatter; forestry; geophysical techniques; radar cross-sections; radar theory; remote sensing by radar; snow; synthetic aperture radar; vegetation mapping; Picea mariana; SAR; backscatter; backscattering coefficient; backscattering signature; black spruce; boreal forest; coniferous forest; geophysical technique; multilayer radiative transfer model; radar remote sensing; radar scattering; season; seasonal change; snow-covered area; snowcover; vegetation effect; vegetation mapping; Backscatter; Dielectrics; Equations; Nonhomogeneous media; Optical scattering; Radar scattering; Rough surfaces; Snow; Surface roughness; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-6359-0
DOI :
10.1109/IGARSS.2000.860550
