Staff View: The development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in Peninsular Malaysia.

The development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in Peninsular Malaysia.

This research develope the prediction models which analyze and compute the CO2 emission in Malaysia. Each prediction model for C02 emission is analyzed based on three main groups which is transportation, electricity production and consumption as well as residential and industry. The prediction model...

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Main Author:	Mat Jafri, Mohd. Zubir
Format:	Monograph
Language:	English
Published:	Universiti Sains Malaysia 2015
Subjects:	QC1-999 Physics
Online Access:	http://eprints.usm.my/37015/1/The%20development%20of%20an%20algorithm%20and%20a%20model%20through%20Image%20processing-Eprints.pdf http://eprints.usm.my/37015/
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id	my.usm.eprints.37015
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spelling	my.usm.eprints.37015 http://eprints.usm.my/37015/ The development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in Peninsular Malaysia. Mat Jafri, Mohd. Zubir QC1-999 Physics This research develope the prediction models which analyze and compute the CO2 emission in Malaysia. Each prediction model for C02 emission is analyzed based on three main groups which is transportation, electricity production and consumption as well as residential and industry. The prediction models was generated using data obtained from World Bank Open Data. Partial least square and best subset method were used to remove irrelevant data and followed by multi linear regression to produce the prediction models. Universiti Sains Malaysia 2015 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/37015/1/The%20development%20of%20an%20algorithm%20and%20a%20model%20through%20Image%20processing-Eprints.pdf Mat Jafri, Mohd. Zubir (2015) The development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in Peninsular Malaysia. Technical Report. Universiti Sains Malaysia.
institution	Universiti Sains Malaysia
building	Hamzah Sendut Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Sains Malaysia
content_source	USM Institutional Repository
url_provider	http://eprints.usm.my/
language	English
topic	QC1-999 Physics
spellingShingle	QC1-999 Physics Mat Jafri, Mohd. Zubir The development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in Peninsular Malaysia.
description	This research develope the prediction models which analyze and compute the CO2 emission in Malaysia. Each prediction model for C02 emission is analyzed based on three main groups which is transportation, electricity production and consumption as well as residential and industry. The prediction models was generated using data obtained from World Bank Open Data. Partial least square and best subset method were used to remove irrelevant data and followed by multi linear regression to produce the prediction models.
format	Monograph
author	Mat Jafri, Mohd. Zubir
author_facet	Mat Jafri, Mohd. Zubir
author_sort	Mat Jafri, Mohd. Zubir
title	The development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in Peninsular Malaysia.
title_short	The development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in Peninsular Malaysia.
title_full	The development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in Peninsular Malaysia.
title_fullStr	The development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in Peninsular Malaysia.
title_full_unstemmed	The development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in Peninsular Malaysia.
title_sort	development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in peninsular malaysia.
publisher	Universiti Sains Malaysia
publishDate	2015
url	http://eprints.usm.my/37015/1/The%20development%20of%20an%20algorithm%20and%20a%20model%20through%20Image%20processing-Eprints.pdf http://eprints.usm.my/37015/
_version_	1751537234280972288
score	13.160551

The development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in Peninsular Malaysia.

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