Wet snow backscattering sensitivity on density change for SWE estimation

Nikola Besic (1, 2) , Gabriel Vasile (1) , Jocelyn Chanussot (1) , Srdjan Stankovic (2) , Didier Boldo (3) , Guy d'Urso (4)

1 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique
2 Department of Electrical Engineering
3 EDF R&D - EDF R&D
4 EDF - EDF

This paper deals particularly with the sensitivity of the wet snow backscattering coefficient on density change. The presented backscattering model is based on the approach used in the dry snow analysis, appropriately modified to account for the increased dielectric contrast caused by liquid water presence. It encircles our undertaking of simulating and analysing snow backscattering using fundamental scattering theories (IEM-B, QCA, QCA-CP). The wet snow parameters are chosen according to the area of the particular interest - the French Alps, while the choice of the SAR sensor parameters (frequency, polarization) is primarily conditioned by the initially settled goal - reaching qualitative conclusions concerning wet snow backscattering mechanism. Based on simulation results, we state the dominance of the snow pack surface backscattering component, causing the backscattering to be directly proportional to the volumetric liquid water content. This result is confirmed by the performed in situ measurements. We illustrate as well the decrease of this effect with the increase in operating frequency.

Mots clés: density; wet snow; backscattering; SWE; SAR

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]; Hydrologie; Milieux et Changements globaux

Nikola Besic, Gabriel Vasile, Jocelyn Chanussot, Srdjan Stankovic, Didier Boldo, et al.. Wet snow backscattering sensitivity on density change for SWE estimation. IGARSS 2013 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2013, Melbourne, Australia. pp.1174-1177. ⟨hal-00852099⟩