A comparison between ratio and gradient technique in discriminating cirrus clouds from tropospheric aerosols over water in MODIS data

This study aims to compare between ratio technique (RT) and gradient technique (GT) to distinguish cirrus cloud from tropospheric aerosol over water in MODIS data. Both techniques make use of 1.375 µm and 1.240 µm band and are applied to five different scenes. The outcomes from bot...

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Main Authors: Mustafa, Mamat, Asmala, Ahmad, Abd Rahman, Mat Amin
Format: Article
Language:English
Published: HIKARI Ltd 2014
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Online Access:http://eprints.unisza.edu.my/5530/1/FH02-FIK-14-01566.jpg
http://eprints.unisza.edu.my/5530/
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Institution: Universiti Sultan Zainal Abidin
Language: English
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spelling my-unisza-ir.55302022-09-13T05:46:56Z http://eprints.unisza.edu.my/5530/ A comparison between ratio and gradient technique in discriminating cirrus clouds from tropospheric aerosols over water in MODIS data Mustafa, Mamat Asmala, Ahmad Abd Rahman, Mat Amin QA75 Electronic computers. Computer science This study aims to compare between ratio technique (RT) and gradient technique (GT) to distinguish cirrus cloud from tropospheric aerosol over water in MODIS data. Both techniques make use of 1.375 µm and 1.240 µm band and are applied to five different scenes. The outcomes from both techniques are compared using an error matrix in which revealing that the GT has a very high agreement with RT in distinguishing cirrus cloud from tropospheric aerosol in MODIS data. HIKARI Ltd 2014 Article PeerReviewed image en http://eprints.unisza.edu.my/5530/1/FH02-FIK-14-01566.jpg Mustafa, Mamat and Asmala, Ahmad and Abd Rahman, Mat Amin (2014) A comparison between ratio and gradient technique in discriminating cirrus clouds from tropospheric aerosols over water in MODIS data. Applied Mathematical Sciences, 8 (124). pp. 6151-6158. ISSN 1312885X [P]
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Mustafa, Mamat
Asmala, Ahmad
Abd Rahman, Mat Amin
A comparison between ratio and gradient technique in discriminating cirrus clouds from tropospheric aerosols over water in MODIS data
description This study aims to compare between ratio technique (RT) and gradient technique (GT) to distinguish cirrus cloud from tropospheric aerosol over water in MODIS data. Both techniques make use of 1.375 µm and 1.240 µm band and are applied to five different scenes. The outcomes from both techniques are compared using an error matrix in which revealing that the GT has a very high agreement with RT in distinguishing cirrus cloud from tropospheric aerosol in MODIS data.
format Article
author Mustafa, Mamat
Asmala, Ahmad
Abd Rahman, Mat Amin
author_facet Mustafa, Mamat
Asmala, Ahmad
Abd Rahman, Mat Amin
author_sort Mustafa, Mamat
title A comparison between ratio and gradient technique in discriminating cirrus clouds from tropospheric aerosols over water in MODIS data
title_short A comparison between ratio and gradient technique in discriminating cirrus clouds from tropospheric aerosols over water in MODIS data
title_full A comparison between ratio and gradient technique in discriminating cirrus clouds from tropospheric aerosols over water in MODIS data
title_fullStr A comparison between ratio and gradient technique in discriminating cirrus clouds from tropospheric aerosols over water in MODIS data
title_full_unstemmed A comparison between ratio and gradient technique in discriminating cirrus clouds from tropospheric aerosols over water in MODIS data
title_sort comparison between ratio and gradient technique in discriminating cirrus clouds from tropospheric aerosols over water in modis data
publisher HIKARI Ltd
publishDate 2014
url http://eprints.unisza.edu.my/5530/1/FH02-FIK-14-01566.jpg
http://eprints.unisza.edu.my/5530/
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