Derivation of radiative transfer parameters using image-based technique / Wan Noniafida Ab Manan

The correction of atmospheric effects is very essential because visible bands of shorter wavelengths are highly affected by atmospheric scattering especially of Rayleigh scattering. In this processes, the most important parameters need to be known is the optical characteristics of the atmosphere. Th...

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Main Author: Ab Manan, Wan Noniafida
Format: Thesis
Language:English
Published: 2014
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/25826/
http://ir.uitm.edu.my/id/eprint/25826/1/TM_WAN%20NONI%20AFIDA%20AB%20MANAN%20AS%2014_5.pdf
id uitm-25826
recordtype eprints
spelling uitm-258262019-09-26T08:44:32Z http://ir.uitm.edu.my/id/eprint/25826/ Derivation of radiative transfer parameters using image-based technique / Wan Noniafida Ab Manan Ab Manan, Wan Noniafida Descriptive and experimental mechanics Optics. Light The correction of atmospheric effects is very essential because visible bands of shorter wavelengths are highly affected by atmospheric scattering especially of Rayleigh scattering. In this processes, the most important parameters need to be known is the optical characteristics of the atmosphere. The most challenge is to obtain accurate values for those parameters and limited availability of the atmospheric correction parameters in the analyses. In available atmospheric correction algorithms, lack of study has found in emphasizing the appropriate chosen of atmospheric models with specific atmospheric condition. Thus, the question was set in this study are which criteria can be used to justify which atmospheric models is suitable to be applied. This study is attempting to answer whether selection of atmospheric models is based on regional atmospheric condition or geographic location. To prove this, it will require the information from aerosol optical parameters. Therefore, in determining the appropriate atmospheric model for different urban types; the atmospheric parameters (visibility and aerosol loading) need to be estimated. The proposed method is a combination of the radiative transfer equation and dark target subtraction technique. Two important atmospheric parameters in the radiative transfer equation which are visibility and aerosol loading are estimated from the image itself to be as an input in atmospheric modelling. ATCOR-2 was used to perform different atmospheric models (maritime and urban) which can represent regional climatic condition in Kuala Lumpur and Penang Island. Dark pixel target in the scene was subtracted from visible (blue band) and near-infrared (NIR) band of Landsat image to optimize the aerosol loading retrieved from scattering and absorption factor. By relating the determined aerosol optical thickness with visibility values, urban model at the visible (blue band) on image 2005 for both sites, showed a high correlation coefficient, / = 0.8720 for Kuala Lumpur and r = 0.8896 for Penang Island. The results showed an agreement pattern with Forster’s aerosol optical thickness versus visibility and from Tanre’s model. However, maritime model and NIR band shows the opposite pattern of the established model. Thus, urban model in visible (blue band) has been chosen for both sites. Results presented in this study had demonstrated that determination of suitable atmospheric model can be outlined on four different types of urban which based on the regional climate condition. It has been shown that determined the aerosol for both sites is highly correlated to the visibility range from 10 to 50 km. Study also found that optical satellite remotely sensed image data (Landsat TM blue band) can be used to determine the visibility value through the darkest pixel atmospheric correction algorithms. 2014 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/25826/1/TM_WAN%20NONI%20AFIDA%20AB%20MANAN%20AS%2014_5.pdf Ab Manan, Wan Noniafida (2014) Derivation of radiative transfer parameters using image-based technique / Wan Noniafida Ab Manan. Masters thesis, Universiti Teknologi MARA.
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Descriptive and experimental mechanics
Optics. Light
spellingShingle Descriptive and experimental mechanics
Optics. Light
Ab Manan, Wan Noniafida
Derivation of radiative transfer parameters using image-based technique / Wan Noniafida Ab Manan
description The correction of atmospheric effects is very essential because visible bands of shorter wavelengths are highly affected by atmospheric scattering especially of Rayleigh scattering. In this processes, the most important parameters need to be known is the optical characteristics of the atmosphere. The most challenge is to obtain accurate values for those parameters and limited availability of the atmospheric correction parameters in the analyses. In available atmospheric correction algorithms, lack of study has found in emphasizing the appropriate chosen of atmospheric models with specific atmospheric condition. Thus, the question was set in this study are which criteria can be used to justify which atmospheric models is suitable to be applied. This study is attempting to answer whether selection of atmospheric models is based on regional atmospheric condition or geographic location. To prove this, it will require the information from aerosol optical parameters. Therefore, in determining the appropriate atmospheric model for different urban types; the atmospheric parameters (visibility and aerosol loading) need to be estimated. The proposed method is a combination of the radiative transfer equation and dark target subtraction technique. Two important atmospheric parameters in the radiative transfer equation which are visibility and aerosol loading are estimated from the image itself to be as an input in atmospheric modelling. ATCOR-2 was used to perform different atmospheric models (maritime and urban) which can represent regional climatic condition in Kuala Lumpur and Penang Island. Dark pixel target in the scene was subtracted from visible (blue band) and near-infrared (NIR) band of Landsat image to optimize the aerosol loading retrieved from scattering and absorption factor. By relating the determined aerosol optical thickness with visibility values, urban model at the visible (blue band) on image 2005 for both sites, showed a high correlation coefficient, / = 0.8720 for Kuala Lumpur and r = 0.8896 for Penang Island. The results showed an agreement pattern with Forster’s aerosol optical thickness versus visibility and from Tanre’s model. However, maritime model and NIR band shows the opposite pattern of the established model. Thus, urban model in visible (blue band) has been chosen for both sites. Results presented in this study had demonstrated that determination of suitable atmospheric model can be outlined on four different types of urban which based on the regional climate condition. It has been shown that determined the aerosol for both sites is highly correlated to the visibility range from 10 to 50 km. Study also found that optical satellite remotely sensed image data (Landsat TM blue band) can be used to determine the visibility value through the darkest pixel atmospheric correction algorithms.
format Thesis
author Ab Manan, Wan Noniafida
author_facet Ab Manan, Wan Noniafida
author_sort Ab Manan, Wan Noniafida
title Derivation of radiative transfer parameters using image-based technique / Wan Noniafida Ab Manan
title_short Derivation of radiative transfer parameters using image-based technique / Wan Noniafida Ab Manan
title_full Derivation of radiative transfer parameters using image-based technique / Wan Noniafida Ab Manan
title_fullStr Derivation of radiative transfer parameters using image-based technique / Wan Noniafida Ab Manan
title_full_unstemmed Derivation of radiative transfer parameters using image-based technique / Wan Noniafida Ab Manan
title_sort derivation of radiative transfer parameters using image-based technique / wan noniafida ab manan
publishDate 2014
url http://ir.uitm.edu.my/id/eprint/25826/
http://ir.uitm.edu.my/id/eprint/25826/1/TM_WAN%20NONI%20AFIDA%20AB%20MANAN%20AS%2014_5.pdf
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last_indexed 2023-09-18T23:15:34Z
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