This paper focuses on the preprocessing of the images and presents the methodological steps and first results obtained in full polarimetry mode. The objective of the present study was to determine whether there is a correlation between changes in radar statistics and changes in physical snow parameters during winter and spring. The aim of the SOAR #1341 project is to perform temporal analyses of changes in RADARSAT-2 full-polarimetry parameters on snow cover in a mountainous area. Potential of assimilating SAR data to model of snow evolution. Measured ones than the initial ones, and therefore demonstrate the high Profiles obtained after the analysis process show a closer agreement with the Time series of TerraSAR-X acquisitions and in-situ measurements on theĪrgenti\`ere glacier (Mont-Blanc massif, French Alps) are used to evaluate theĮBM and the data assimilation scheme. Order to minimize the discrepancies between simulations and SAR observations.
Next, from the EBM, theĪdjoint operator is developed and used in a variational analysis scheme in TerraSAR-X acquisitions to evaluate the forward model. The output result is then compared with spaceborne This forward model calculates the backscattering coefficient for different Stratigraphic profiles consisting of snow optical grain radius and density, Snowpack EBM based on radiative transfer theory, previously used for C-bandĪpplications, is adapted for the X-band. This study introduces a newĪpproach using high frequency (X-band) SAR data and an Electromagneticīackscattering Model (EBM) to constrain the detailed snowpack model Crocus. Observation and characterization of the cryosphere. Recently launched high precision Synthetic Aperture Radar (SAR) satellites
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