Measuring land cover change in Seremban, Malaysia using NDVI index

The normalized difference vegetation index (NDVI) is one of the significant classification methods widely used in detecting land cover and land use changes. For this purpose, two Landsat TM images from 1990 to 2010 are used to extract NDVI values. The NDVI values are initially computed using the Nat...

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Main Authors: Aburas, Maher Milad, Abdullah, Sabrina Ho, Ramli, Mohammad Firuz, Ash’aari, Zulfa Hanan
Format: Article
Language:English
Published: Elsevier 2015
Online Access:http://psasir.upm.edu.my/id/eprint/42972/1/1-s2.0-S1878029615006374-main.pdf
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author Aburas, Maher Milad
Abdullah, Sabrina Ho
Ramli, Mohammad Firuz
Ash’aari, Zulfa Hanan
author_facet Aburas, Maher Milad
Abdullah, Sabrina Ho
Ramli, Mohammad Firuz
Ash’aari, Zulfa Hanan
author_sort Aburas, Maher Milad
collection UPM
description The normalized difference vegetation index (NDVI) is one of the significant classification methods widely used in detecting land cover and land use changes. For this purpose, two Landsat TM images from 1990 to 2010 are used to extract NDVI values. The NDVI values are initially computed using the Natural Breaks (Jenks) method to classify NDVI map. Afterwards, a Difference NDVI map between 1990 and 2010 is generated to negatively or positively identify the values of land cover changes. Results confirmed that the area without vegetation, such as bodies of water, as well as built up areas and barren lands, increased from 3.55% in 1990 to 7.25% in 2010. The dense vegetation area also decreased from 78.57% to 65.44%, indicating the necessity to create new policies in the city for the protection of vegetation areas during the urban and economic development in Seremban.
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spelling upm.eprints-429722016-05-03T06:35:12Z http://psasir.upm.edu.my/id/eprint/42972/ Measuring land cover change in Seremban, Malaysia using NDVI index Aburas, Maher Milad Abdullah, Sabrina Ho Ramli, Mohammad Firuz Ash’aari, Zulfa Hanan The normalized difference vegetation index (NDVI) is one of the significant classification methods widely used in detecting land cover and land use changes. For this purpose, two Landsat TM images from 1990 to 2010 are used to extract NDVI values. The NDVI values are initially computed using the Natural Breaks (Jenks) method to classify NDVI map. Afterwards, a Difference NDVI map between 1990 and 2010 is generated to negatively or positively identify the values of land cover changes. Results confirmed that the area without vegetation, such as bodies of water, as well as built up areas and barren lands, increased from 3.55% in 1990 to 7.25% in 2010. The dense vegetation area also decreased from 78.57% to 65.44%, indicating the necessity to create new policies in the city for the protection of vegetation areas during the urban and economic development in Seremban. Elsevier 2015 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/42972/1/1-s2.0-S1878029615006374-main.pdf Aburas, Maher Milad and Abdullah, Sabrina Ho and Ramli, Mohammad Firuz and Ash’aari, Zulfa Hanan (2015) Measuring land cover change in Seremban, Malaysia using NDVI index. Procedia Environmental Sciences, 30. pp. 238-243. ISSN 1878-0296 http://www.sciencedirect.com/science/article/pii/S1878029615006374 10.1016/j.proenv.2015.10.043
spellingShingle Aburas, Maher Milad
Abdullah, Sabrina Ho
Ramli, Mohammad Firuz
Ash’aari, Zulfa Hanan
Measuring land cover change in Seremban, Malaysia using NDVI index
title Measuring land cover change in Seremban, Malaysia using NDVI index
title_full Measuring land cover change in Seremban, Malaysia using NDVI index
title_fullStr Measuring land cover change in Seremban, Malaysia using NDVI index
title_full_unstemmed Measuring land cover change in Seremban, Malaysia using NDVI index
title_short Measuring land cover change in Seremban, Malaysia using NDVI index
title_sort measuring land cover change in seremban malaysia using ndvi index
url http://psasir.upm.edu.my/id/eprint/42972/1/1-s2.0-S1878029615006374-main.pdf
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