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 (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.

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Abstract

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.

Item Type: Monograph (Technical Report)
Subjects: Q Science > QC Physics > QC1-999 Physics
Divisions: Pusat Pengajian Sains Fizik (School of Physics) > Monograph
Depositing User: Mr Erwan Roslan
Date Deposited: 10 Oct 2017 14:31
Last Modified: 10 Oct 2017 14:31
URI: http://eprints.usm.my/id/eprint/37015

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