An Improved Backscattering Theoretical Model for Snow Area

Remote sensing has been studied for a long timeto 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 usesremotesensing technology is snow monitoring.In previous researches, remote sensing has been modell...

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Published in:Journal of Engineering Technology and Applied Physics
Main Authors: Dina Naqiba Nur Ezzaty Abd Wahid, Syabeela Syahali, Muhamad Jalaluddin Jamri
Format: Article in Journal/Newspaper
Language:English
Published: MMU Press 2021
Subjects:
T
Online Access:https://doi.org/10.33093/jetap.2021.3.2.2
https://doaj.org/article/b632aaedb2ea4788b52742fa7e2fd706
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spelling ftdoajarticles:oai:doaj.org/article:b632aaedb2ea4788b52742fa7e2fd706 2023-05-15T15:55:49+02:00 An Improved Backscattering Theoretical Model for Snow Area Dina Naqiba Nur Ezzaty Abd Wahid Syabeela Syahali Muhamad Jalaluddin Jamri 2021-12-01T00:00:00Z https://doi.org/10.33093/jetap.2021.3.2.2 https://doaj.org/article/b632aaedb2ea4788b52742fa7e2fd706 EN eng MMU Press https://journals.mmupress.com/index.php/jetap/article/view/241/275 https://doaj.org/toc/2682-8383 doi:10.33093/jetap.2021.3.2.2 2682-8383 https://doaj.org/article/b632aaedb2ea4788b52742fa7e2fd706 Journal of Engineering Technology and Applied Physics, Vol 3, Iss 2, Pp 7-13 (2021) surface volume scattering remote sensing theoretical modelling backscattering coefficient radiative tranfer equation Mechanics of engineering. Applied mechanics TA349-359 Technology T article 2021 ftdoajarticles https://doi.org/10.33093/jetap.2021.3.2.2 2023-03-26T01:34:23Z Remote sensing has been studied for a long timeto 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 usesremotesensing technology is snow monitoring.In previous researches, remote sensing has been modelled on snow area to study the scattering mechanisms of variousscattering processes. In this paper, surface volume second order term that was dropped inprevious studyis derived,included and studied to observe the improvement in thesurface volume backscattering coefficient. This new model isapplied 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 irregularboundaries.Various parameters are used to investigate the improvement of adding the new term. Results show improvementin 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. Article in Journal/Newspaper Cold Regions Research and Engineering Laboratory Directory of Open Access Journals: DOAJ Articles Journal of Engineering Technology and Applied Physics 3 2 7 13
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic surface volume scattering
remote sensing
theoretical modelling
backscattering coefficient
radiative tranfer equation
Mechanics of engineering. Applied mechanics
TA349-359
Technology
T
spellingShingle surface volume scattering
remote sensing
theoretical modelling
backscattering coefficient
radiative tranfer equation
Mechanics of engineering. Applied mechanics
TA349-359
Technology
T
Dina Naqiba Nur Ezzaty Abd Wahid
Syabeela Syahali
Muhamad Jalaluddin Jamri
An Improved Backscattering Theoretical Model for Snow Area
topic_facet surface volume scattering
remote sensing
theoretical modelling
backscattering coefficient
radiative tranfer equation
Mechanics of engineering. Applied mechanics
TA349-359
Technology
T
description Remote sensing has been studied for a long timeto 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 usesremotesensing technology is snow monitoring.In previous researches, remote sensing has been modelled on snow area to study the scattering mechanisms of variousscattering processes. In this paper, surface volume second order term that was dropped inprevious studyis derived,included and studied to observe the improvement in thesurface volume backscattering coefficient. This new model isapplied 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 irregularboundaries.Various parameters are used to investigate the improvement of adding the new term. Results show improvementin 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.
format Article in Journal/Newspaper
author Dina Naqiba Nur Ezzaty Abd Wahid
Syabeela Syahali
Muhamad Jalaluddin Jamri
author_facet Dina Naqiba Nur Ezzaty Abd Wahid
Syabeela Syahali
Muhamad Jalaluddin Jamri
author_sort Dina Naqiba Nur Ezzaty Abd Wahid
title An Improved Backscattering Theoretical Model for Snow Area
title_short An Improved Backscattering Theoretical Model for Snow Area
title_full An Improved Backscattering Theoretical Model for Snow Area
title_fullStr An Improved Backscattering Theoretical Model for Snow Area
title_full_unstemmed An Improved Backscattering Theoretical Model for Snow Area
title_sort improved backscattering theoretical model for snow area
publisher MMU Press
publishDate 2021
url https://doi.org/10.33093/jetap.2021.3.2.2
https://doaj.org/article/b632aaedb2ea4788b52742fa7e2fd706
genre Cold Regions Research and Engineering Laboratory
genre_facet Cold Regions Research and Engineering Laboratory
op_source Journal of Engineering Technology and Applied Physics, Vol 3, Iss 2, Pp 7-13 (2021)
op_relation https://journals.mmupress.com/index.php/jetap/article/view/241/275
https://doaj.org/toc/2682-8383
doi:10.33093/jetap.2021.3.2.2
2682-8383
https://doaj.org/article/b632aaedb2ea4788b52742fa7e2fd706
op_doi https://doi.org/10.33093/jetap.2021.3.2.2
container_title Journal of Engineering Technology and Applied Physics
container_volume 3
container_issue 2
container_start_page 7
op_container_end_page 13
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