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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/5241
Title: Snow Density Retrieval Using Hybrid Polarimetric RISAT-1 Datasets
Authors: Awasthi S.
Thakur P.K.
Kumar S.
Kumar A.
Jain, Kamal
Mani S.
Published in: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Abstract: Retrieval of snow density using hybrid polarimetric RISAT-1 synthetic aperture radar (SAR) data is implemented in this study. The C-band datasets were acquired in the fine resolution stripmap mode-1 (FRS-1) in which microwaves EM are transmitted in the right circular polarization from the sensor and are received in linear (horizontal or vertical) polarizations resulting in hybrid polarizations-RH and RV. The datasets were acquired for the date of February 23, 2014 covering the Dhundi region in Manali district of Himachal Pradesh. In this season, the area experiences regular snowfall, hence the whole area was covered with the dry snow layer. Hybrid decomposition technique along with the integral equation model (IEM) is utilized for snow density extraction of the snowpack in the study area. The modeled and theoretical approaches are used to retrieve the dielectric constant of the snowpack. Fresnel coefficients, utilized in the IEM modeling approach, are the function of snowpack dielectric constant and the local incidence angle of the incident wave from the sensor. The retrieved snow density map is generated for the area. The validation of the retrieved results is done using ground data collected during the period. ¬© 2008-2012 IEEE.
Citation: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing(2020), 13(): 3058-3065
URI: https://doi.org/10.1109/JSTARS.2020.2991156
http://repository.iitr.ac.in/handle/123456789/5241
Issue Date: 2020
Publisher: Institute of Electrical and Electronics Engineers
Keywords: Hybrid polarimetry
Integral Equation Model (IEM)
RISAT-1 sensor
snow density
synthetic aperture radar (SAR)
ISSN: 19391404
Author Scopus IDs: 57200501475
35071985900
55364216300
57215268660
56658294100
52864097700
Author Affiliations: Awasthi, S., Indian Institute of Technology Roorkee, Roorkee, 247667, India
Thakur, P.K., Indian Institute of Remote Sensing, ISRO, Dehradun, 248001, India
Kumar, S., Indian Institute of Remote Sensing, ISRO, Dehradun, 248001, India
Kumar, A., India
Corresponding Author: Awasthi, S.; Indian Institute of Technology RoorkeeIndia; email: sawasthi@dm.iitr.ac.in
Appears in Collections:Journal Publications [CE]

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