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Extracting carbon emission for industrial area by using Landsat 8: case study of Klang, Malaysia

Industrial area attributed to 235.6% carbon emissions increase from 1990 to 2005. In 2009 Malaysia announced a voluntary commitment to reduce 40% of its greenhouse gases (GHG) emissions by 2020. The study aims to extract the carbon emission by industrial area using Landsat 8 processed through Lan...

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Main Authors: ruqayyah, Mohd Zaini, Hj. Mohd. Noor, Norzailawati, Mazlan, Hashim
Format: Conference or Workshop Item
Language:English
English
English
Published: 2020
Subjects:
H Social Sciences (General)
T Technology (General)
TD Environmental technology. Sanitary engineering
Online Access:http://irep.iium.edu.my/85845/1/RUQAYYAH%20FULL.pdf
http://irep.iium.edu.my/85845/8/85845.pdf
http://irep.iium.edu.my/85845/9/85845%20programme%20schedule.pdf
http://irep.iium.edu.my/85845/
https://www.acrs2020.cn/#/program
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spelling my.iium.irep.858452021-05-28T03:13:28Z http://irep.iium.edu.my/85845/ Extracting carbon emission for industrial area by using Landsat 8: case study of Klang, Malaysia ruqayyah, Mohd Zaini Hj. Mohd. Noor, Norzailawati Mazlan, Hashim H Social Sciences (General) T Technology (General) TD Environmental technology. Sanitary engineering Industrial area attributed to 235.6% carbon emissions increase from 1990 to 2005. In 2009 Malaysia announced a voluntary commitment to reduce 40% of its greenhouse gases (GHG) emissions by 2020. The study aims to extract the carbon emission by industrial area using Landsat 8 processed through Land Surface Temperature (LST) data in quantifying carbon. The data required are obtained from the Sniffer4D drone, Landsat 8 LST and Department of Environment (DOE) data, which were analysed through comparative and statistical analysis. The findings showed that the high correlation of Site A, (= 0.7403) Site B, (= 0.607) and Site C, (= 0.0026) strength between data from the drone and satellite data. As a results, that band11 Thermal Infrared (TIRS) 2 in Landsat 8 can be used for extracting carbon value estimation and band 10 Thermal Infrared (TIRS) 1 for the measurement of the air temperature. These findings can assist in terms of calculating carbon emission using LST and determine the high concentration industrial carbon emission hence it can help in decision making in further industry area development 2020-11 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/85845/1/RUQAYYAH%20FULL.pdf application/pdf en http://irep.iium.edu.my/85845/8/85845.pdf application/pdf en http://irep.iium.edu.my/85845/9/85845%20programme%20schedule.pdf ruqayyah, Mohd Zaini and Hj. Mohd. Noor, Norzailawati and Mazlan, Hashim (2020) Extracting carbon emission for industrial area by using Landsat 8: case study of Klang, Malaysia. In: 41st Asian Conference on Remote Sensing (ACRS2020), 9th-11th November 2020, Deqing City, China. (Unpublished) https://www.acrs2020.cn/#/program
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
English
topic H Social Sciences (General)
T Technology (General)
TD Environmental technology. Sanitary engineering
spellingShingle H Social Sciences (General)
T Technology (General)
TD Environmental technology. Sanitary engineering
ruqayyah, Mohd Zaini
Hj. Mohd. Noor, Norzailawati
Mazlan, Hashim
Extracting carbon emission for industrial area by using Landsat 8: case study of Klang, Malaysia
description Industrial area attributed to 235.6% carbon emissions increase from 1990 to 2005. In 2009 Malaysia announced a voluntary commitment to reduce 40% of its greenhouse gases (GHG) emissions by 2020. The study aims to extract the carbon emission by industrial area using Landsat 8 processed through Land Surface Temperature (LST) data in quantifying carbon. The data required are obtained from the Sniffer4D drone, Landsat 8 LST and Department of Environment (DOE) data, which were analysed through comparative and statistical analysis. The findings showed that the high correlation of Site A, (= 0.7403) Site B, (= 0.607) and Site C, (= 0.0026) strength between data from the drone and satellite data. As a results, that band11 Thermal Infrared (TIRS) 2 in Landsat 8 can be used for extracting carbon value estimation and band 10 Thermal Infrared (TIRS) 1 for the measurement of the air temperature. These findings can assist in terms of calculating carbon emission using LST and determine the high concentration industrial carbon emission hence it can help in decision making in further industry area development
format Conference or Workshop Item
author ruqayyah, Mohd Zaini
Hj. Mohd. Noor, Norzailawati
Mazlan, Hashim
author_facet ruqayyah, Mohd Zaini
Hj. Mohd. Noor, Norzailawati
Mazlan, Hashim
author_sort ruqayyah, Mohd Zaini
title Extracting carbon emission for industrial area by using Landsat 8: case study of Klang, Malaysia
title_short Extracting carbon emission for industrial area by using Landsat 8: case study of Klang, Malaysia
title_full Extracting carbon emission for industrial area by using Landsat 8: case study of Klang, Malaysia
title_fullStr Extracting carbon emission for industrial area by using Landsat 8: case study of Klang, Malaysia
title_full_unstemmed Extracting carbon emission for industrial area by using Landsat 8: case study of Klang, Malaysia
title_sort extracting carbon emission for industrial area by using landsat 8: case study of klang, malaysia
publishDate 2020
url http://irep.iium.edu.my/85845/1/RUQAYYAH%20FULL.pdf
http://irep.iium.edu.my/85845/8/85845.pdf
http://irep.iium.edu.my/85845/9/85845%20programme%20schedule.pdf
http://irep.iium.edu.my/85845/
https://www.acrs2020.cn/#/program
_version_ 1701162768817717248
score 13.211869

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