Publication Type : Journal Article
Publisher : Elsevier
Source : Remote Sensing of Environment
Url : https://scholar.google.com/citations?view_op=view_citation&hl=en&user=_JxiXhAAAAAJ&cstart=20&pagesize=80&sortby=pubdate&citation_for_view=_JxiXhAAAAAJ:qjMakFHDy7sC
Campus : Bengaluru
School : School of Engineering
Year : 2016
Abstract : In this study, we inter-compare observed and modeled Ku-, X- and C-band microwave backscatter for two snow temperature conditions for a highly saline snow cover on smooth first-year sea ice. A new surface-based multi-frequency (Ku-, X- and C-bands) microwave scatterometer system is used quasi-coincident with in situ geophysical snow measurements. A multilayer snow and ice backscatter model is used to calculate the total co-polarized backscatter coefficient for two snow temperature conditions. The model provides the surface and volume scattering contributions for each snow layer, as well as the frequency-dependent penetration depth. These results aid interpretation of observed backscatter. Joint use of Ku-, X- and C-band microwaves provide an enhanced understanding of diverse variations in geophysical, thermodynamic and electrical state of snow/sea ice system.
Cite this Research Publication : Nandan, Vishnu, Torsten Geldsetzer, Tanvir Islam, John J. Yackel, Jagvijay PS Gill, Mark C. Fuller, Grant Gunn, and Claude Duguay. "Ku-, X-and C-band measured and modeled microwave backscatter from a highly saline snow cover on first-year sea ice." Remote Sensing of Environment 187 (2016): 62-75.
