Land cover change detection analysis for landslide monitoring using SPOT-5 satellite images / Noraisyah Tajudin … [et al.]

Landslides have become a common disaster in Malaysia, the incident occurred according to human activity in economic development. Deforestation, urbanization, development of hill slopes and other human land use have given rise to increased risks of landslides. This paper reports the monitoring of the...

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Main Authors: Tajudin, Noraisyah, Ya’acob, Norsuzila, Mohd Ali, Darmawaty, Adnan, Nor Aizam
Format: Article
Language:English
Published: Universiti Teknologi MARA Press (Penerbit UiTM) 2020
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Online Access:http://ir.uitm.edu.my/id/eprint/42388/1/42388.pdf
http://ir.uitm.edu.my/id/eprint/42388/
https://jeesr.uitm.edu.my
https://doi.org/10.24191/jeesr.v17i1.011
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spelling my.uitm.ir.423882021-02-24T07:11:12Z http://ir.uitm.edu.my/id/eprint/42388/ Land cover change detection analysis for landslide monitoring using SPOT-5 satellite images / Noraisyah Tajudin … [et al.] Tajudin, Noraisyah Ya’acob, Norsuzila Mohd Ali, Darmawaty Adnan, Nor Aizam Enviromental management Municipal engineering Special types of environment. Including soil pollution, air pollution, noise pollution Landslides have become a common disaster in Malaysia, the incident occurred according to human activity in economic development. Deforestation, urbanization, development of hill slopes and other human land use have given rise to increased risks of landslides. This paper reports the monitoring of the landslide by applying Land Cover (LC) change detection by utilizing two multispectral satellite imagery SPOT 5 for the year 2005 and 2014. ArcMap 10.2.2 software was used in the image processing using Maximum likelihood classification. This study is conducted in Ulu Kelang, Selangor which is located at hilly and sloppy terrain surround by forestry. The results show the method of LC changes and factor of the landslide can be justified via remote sensing image within 10 years’ time. The accuracy of image classification was showed an overall accuracy of 95% (2005) and 93% (2014), while kappa coefficient indicates the method of classification and the images used were excellent quality. During this study period, an urban area has shown an increase of 14.143%, while the green area had decreased by 8.432% due to an increase of interest in urbanization development. There were twelve landslides recorded during the years 2006 to 2014, about 91.66% landslide events were affected build up area which were residential area and road. This analysis showed that human influence or activity could be contributing to landslide occurrences. Therefore, the urbanization development is very important to have proper planning to reduce the susceptibility of landslide occurrences in Ulu Kelang, Selangor. Universiti Teknologi MARA Press (Penerbit UiTM) 2020 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/42388/1/42388.pdf Tajudin, Noraisyah and Ya’acob, Norsuzila and Mohd Ali, Darmawaty and Adnan, Nor Aizam (2020) Land cover change detection analysis for landslide monitoring using SPOT-5 satellite images / Noraisyah Tajudin … [et al.]. Journal of Electrical & Electronic Systems Research (JEESR), 17. pp. 80-84. ISSN 1985-5389 https://jeesr.uitm.edu.my https://doi.org/10.24191/jeesr.v17i1.011
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Enviromental management
Municipal engineering
Special types of environment. Including soil pollution, air pollution, noise pollution
spellingShingle Enviromental management
Municipal engineering
Special types of environment. Including soil pollution, air pollution, noise pollution
Tajudin, Noraisyah
Ya’acob, Norsuzila
Mohd Ali, Darmawaty
Adnan, Nor Aizam
Land cover change detection analysis for landslide monitoring using SPOT-5 satellite images / Noraisyah Tajudin … [et al.]
description Landslides have become a common disaster in Malaysia, the incident occurred according to human activity in economic development. Deforestation, urbanization, development of hill slopes and other human land use have given rise to increased risks of landslides. This paper reports the monitoring of the landslide by applying Land Cover (LC) change detection by utilizing two multispectral satellite imagery SPOT 5 for the year 2005 and 2014. ArcMap 10.2.2 software was used in the image processing using Maximum likelihood classification. This study is conducted in Ulu Kelang, Selangor which is located at hilly and sloppy terrain surround by forestry. The results show the method of LC changes and factor of the landslide can be justified via remote sensing image within 10 years’ time. The accuracy of image classification was showed an overall accuracy of 95% (2005) and 93% (2014), while kappa coefficient indicates the method of classification and the images used were excellent quality. During this study period, an urban area has shown an increase of 14.143%, while the green area had decreased by 8.432% due to an increase of interest in urbanization development. There were twelve landslides recorded during the years 2006 to 2014, about 91.66% landslide events were affected build up area which were residential area and road. This analysis showed that human influence or activity could be contributing to landslide occurrences. Therefore, the urbanization development is very important to have proper planning to reduce the susceptibility of landslide occurrences in Ulu Kelang, Selangor.
format Article
author Tajudin, Noraisyah
Ya’acob, Norsuzila
Mohd Ali, Darmawaty
Adnan, Nor Aizam
author_facet Tajudin, Noraisyah
Ya’acob, Norsuzila
Mohd Ali, Darmawaty
Adnan, Nor Aizam
author_sort Tajudin, Noraisyah
title Land cover change detection analysis for landslide monitoring using SPOT-5 satellite images / Noraisyah Tajudin … [et al.]
title_short Land cover change detection analysis for landslide monitoring using SPOT-5 satellite images / Noraisyah Tajudin … [et al.]
title_full Land cover change detection analysis for landslide monitoring using SPOT-5 satellite images / Noraisyah Tajudin … [et al.]
title_fullStr Land cover change detection analysis for landslide monitoring using SPOT-5 satellite images / Noraisyah Tajudin … [et al.]
title_full_unstemmed Land cover change detection analysis for landslide monitoring using SPOT-5 satellite images / Noraisyah Tajudin … [et al.]
title_sort land cover change detection analysis for landslide monitoring using spot-5 satellite images / noraisyah tajudin … [et al.]
publisher Universiti Teknologi MARA Press (Penerbit UiTM)
publishDate 2020
url http://ir.uitm.edu.my/id/eprint/42388/1/42388.pdf
http://ir.uitm.edu.my/id/eprint/42388/
https://jeesr.uitm.edu.my
https://doi.org/10.24191/jeesr.v17i1.011
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score 13.214268