Understanding the vegetation effect over snow-covered areas

Author

Magagi, R. ; Bernier, M.

Author_Institution

INRS-Eau, Sainte-Foy, Que., Canada

Volume

1

fYear

2000

fDate

2000

Firstpage

417

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-6359-0

Type

conf

DOI

10.1109/IGARSS.2000.860550

Filename

860550