Citation

Abd Wahid, Dina Naqiba Nur Ezzaty and Syahali, Syabeela and Jamri, Muhamad Jalaluddin (2021) An Improved Backscattering Theoretical Model for Snow Area. Journal of Engineering Technology and Applied Physics, 3 (2). pp. 7-13. ISSN 26828383

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Abstract

Remote sensing has been studied for a long time to monitor the earth terrain. Remote sensing technology has been used globally in many different fields and one of the most popular area of study that uses remote sensing technology is snow monitoring. In previous researches, remote sensing has been modelled on snow area to study the scattering mechanisms of various scattering processes. In this paper, surface volume second order term that was dropped in previous study is derived, included and studied to observe the improvement in the surface volume backscattering coefficient. This new model is applied on snow layer above ground and the snow layer is modelled as a volume of ice particles as the Mie scatterers that are closely packed and bounded by irregular boundaries. Various parameters are used to investigate the improvement of adding the new term. Results show improvement in cross-polarized return, for all the range of parameters studied. Comparison is made with the field measurement result from U.S. Army Cold Regions Research and Engineering Laboratory (CRREL) in 1990. Close agreement is shown between developed model and data field backscattering coefficient result.

Item Type:	Article
Uncontrolled Keywords:	Surface volume scattering, Remote sensing, Theoretical modelling, Backscattering coefficient, Radiative Transfer Equation
Subjects:	Q Science > QC Physics > QC801-809 Geophysics. Cosmic physics Q Science > QC Physics > QC851-999 Meteorology. Climatology Including the earth's atmosphere
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Mr. MUHAMMAD AZRUL MOSRI
Date Deposited:	07 Aug 2024 03:29
Last Modified:	07 Aug 2024 03:29
URII:	http://shdl.mmu.edu.my/id/eprint/12756

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