SNOW DENSITY RETRIEVAL USING HYBRID POLARIMETRIC SPACEBORNE SAR DATA

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Year:
2017
Type of Publication:
Article
Keywords:
Snow Density, Integral equation model, Fresnel reflection coefficient, local incidence angle
Authors:
Shubham Awasthi, Praveen K. Thakur Shashi Kumar
Abstract:
Snow cover is important for global climate system. In regulating the global temperature snow cover plays a significant role. After the snow melts, snow converts in water and is a source of river and reservoirs. Hence proper monitoring of the snow covered areas is required. Snow parameters like snow density, snow depth and snow water equivalent are able to provide proper information about snow pack. This study is focused on retrieval of snow density parameter using hybrid Polarimetric technique. Previous studies for snow density retrieval have utilized the linearly polarized dual and quad pol datasets (Shi & Dozier, 2000; Thakur et al., 2013). Here, utilizing the hybrid polarimetric RISAT-1 dataset is snow density parameter is retrieved. The datasets were acquired for the date 24-Feb-2014 in FRS-1 mode. The snow density was retrieved utilizing the theoretical and the modeled parameters. The Integral equation model (IEM) is implemented in this study. IEM model uses the Fresnel reflection coefficients which is the function of local incidence angle and the dielectric constant of the of the snow pack. The output snow density ranged from the 0.05g/cc to 0.50g/cc. Here fresh snow densityvaries from ranges from the 0.05g/cc to 0.20g/cc. The mean retrieved snow density from the model was 0.26g/cc with the mean standard deviation of 0.1841 and the observed snow density measured from the automatic weather station was0.28g/cc.
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