Preprints
https://doi.org/10.5194/egusphere-2026-656
https://doi.org/10.5194/egusphere-2026-656
22 May 2026
 | 22 May 2026
Status: this preprint is open for discussion and under review for The Cryosphere (TC).

Soil microwave background retrieval and snow sensitivity from multi-frequency SAR observations over an agro-forested environment in northern Ontario

Alex Gélinas, Benoît Montpetit, Julien Meloche, Peter Toose, Zeinab Akhavan, Wei Wang, Richard Kelly, Alexandre Langlois, and Alexandre Roy

Abstract. Accurate retrieval of Snow Water Equivalent (SWE) using Synthetic Aperture Radar (SAR) requires effectively decoupling the signal contribution of the snowpack from that of the underlying soil. This study evaluates a multi-frequency soil parameter inversion methodology using Snow Microwave Radiative Transfer (SMRT) model in a temperate, agro-forested environment in Powassan, Ontario. Using multi-frequency observations from Cryospheric SAR (CryoSAR) (L-band), Radarsat Constellation Mission (RCM) (C-band), and TerraSAR-X (TSX) (X-band) acquired during the 2022/2023 winter season, soil roughness and permittivity were jointly inverted to reproduce observed backscatter. The inversion strategy, which optimizes a single time-invariant roughness per site alongside time-varying permittivity, achieved strong agreement between simulated and observed signals across frequencies (Global R2 = 0.87, RMSE =1.25 dB). Sensitivity analyses reveal a clear frequency-dependant hierarchy of controls: surface roughness dominates L-band backscatter (particularly in VV polarization), soil permittivity governs C- and X-band responses, and extending the analysis to explicitly include snow properties shows that the dominant controls progressively shift to snow microstructure and depth toward Ku-band. Comparisons with in situ measurements indicate that inverted parameters represent effective values at the radar scale; specifically, inverted roughness differs from LiDAR-derived topography, suggesting the influence of basal snow layer properties. Despite complications arising from spatial heterogeneity of soil properties including freeze/thaw cycles, the results demonstrate the feasibility of retrieving soil background parameters to support future multi-frequency snow missions such as Terrestrial Snow Mass Mission (TSMM).

Competing interests: At least one of the (co-)authors is a member of the editorial board of The Cryosphere.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
Share
Alex Gélinas, Benoît Montpetit, Julien Meloche, Peter Toose, Zeinab Akhavan, Wei Wang, Richard Kelly, Alexandre Langlois, and Alexandre Roy

Status: open (until 07 Jul 2026)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Alex Gélinas, Benoît Montpetit, Julien Meloche, Peter Toose, Zeinab Akhavan, Wei Wang, Richard Kelly, Alexandre Langlois, and Alexandre Roy
Alex Gélinas, Benoît Montpetit, Julien Meloche, Peter Toose, Zeinab Akhavan, Wei Wang, Richard Kelly, Alexandre Langlois, and Alexandre Roy

Viewed

Total article views: 217 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
150 54 13 217 12 15
  • HTML: 150
  • PDF: 54
  • XML: 13
  • Total: 217
  • BibTeX: 12
  • EndNote: 15
Views and downloads (calculated since 22 May 2026)
Cumulative views and downloads (calculated since 22 May 2026)

Viewed (geographical distribution)

Total article views: 213 (including HTML, PDF, and XML) Thereof 213 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Jun 2026
Download
Short summary
This research validates a method to link radar measurements to soil properties beneath snow in a temperate farming region. By using multiple radar sensors and computer models, we successfully decoupled the ground's interference from the snow signal. Our results show that radar captures unique information that traditional ground tools miss during freeze-thaw cycles. This work provides a vital framework for the future Canadian Terrestrial Snow Mass Mission to monitor water resources.
Share