Potentiel des donnees asar-envisat en bande C pour la determination des caracteristiques de la neige humide en environnement alpin

Translated title of the contribution: Potential of ENVISAT/ASAR data in the C band to determine the characteristics of wet snow in the Alpine region

Jean Pierre Dedieu, Mohamed Niang, Yves Durand, Gilbert Guyomarc'h, Laurent Mérindol, Claude Sergent

Research output: Contribution to journalArticle

1 Citation (Scopus)


This paper presents a new method to analyse the characteristics of wet snow in alpine region. Here are developed the methodology and first results obtained from a set of ASAR-ENVISAT images registered during 2004 spring period over an experimental river basin located in the French Alps. For ENVISAT/ASAR data, a topographic processing is done using a Digital Elevation Model (DEM) in order to correct the strong slope effects and determine the local incidence angles. During each ENVISAT data acquisition, an intensive field measurements campaing of snow pack properties (snow lines, snow pits) and weather conditions were gathered on selected test sites. We attempt to develop a new inversion technique for volumetric humidity of wet snow by using ground-based experimental data and/or backscattering models. We examine here the behaviour of the backscattering response of the snow Liquid Water Content (LWC), applied jointly to VV and VH polarization for three ASAR images. For these simulations, we test a mono-layer snow model representation of the surface layer snowpack.

Original languageFrench
Pages (from-to)18-27
Number of pages10
JournalRevue Francaise de Photogrammetrie et de Teledetection
Issue number179
Publication statusPublished - 1 Dec 2005



  • Polarization
  • Snow wetness
  • Synthetic Aperture Radar

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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