Quantifying green cover change for sustainable urban planning: A case of Kuala Lumpur, Malaysia

Despite the numerous benefits of urban green cover, urban land development has led to its destruction and degradation, including in Malaysia. In this study, time series Landsat satellite imagery were used to monitor green cover changes in Kuala Lumpur (KL), the largest and capital city of Malaysia....

Full description

Saved in:
Bibliographic Details
Main Author: Kanniah, K. D.
Format: Article
Published: Elsevier GmbH 2017
Subjects:
Online Access:http://eprints.utm.my/id/eprint/75549/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029541312&doi=10.1016%2fj.ufug.2017.08.016&partnerID=40&md5=3f16b5f9c7d471aa30cede4149cda4b0
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.75549
record_format eprints
spelling my.utm.755492018-04-15T08:03:57Z http://eprints.utm.my/id/eprint/75549/ Quantifying green cover change for sustainable urban planning: A case of Kuala Lumpur, Malaysia Kanniah, K. D. G70.212-70.215 Geographic information system Despite the numerous benefits of urban green cover, urban land development has led to its destruction and degradation, including in Malaysia. In this study, time series Landsat satellite imagery were used to monitor green cover changes in Kuala Lumpur (KL), the largest and capital city of Malaysia. An advanced satellite image processing technique that considers the mixed-pixel problem was employed to determine the fraction of green cover in each Landsat pixel. Results show that the total green coverage in Kuala Lumpur decreased by 3% over the first study period, from 6564 ha in 2001–5,891 ha in 2013. However, it increased by 4% in the second, from 6215 ha in 2014–7,310 ha in 2016, and now green cover is 30% of the total land area of KL. These periods were selected to observe the changes in green cover before and after implementation of the “Greening KL” program, which was aimed to plant 100,000 trees in KL by year 2020. Most of the increase in green cover was contributed by trees planted along streets and in recreational parks. Other findings include a loss of ∼9% of green cover in two public parks compared to their total gazetted area, and a loss of green area in other forested parts of KL. Focus group discussions and structured interviews with public, private and non-governmental organizations indicate that green-cover losses can be partly attributed to weak regulations and their poor enforcement. Opportunities to protect and increase green cover in KL are also explored in this study. Such approaches are urgently needed before most of the green areas disappear from the landscape of KL, exacerbating the existing environmental problems in the city. Elsevier GmbH 2017 Article PeerReviewed Kanniah, K. D. (2017) Quantifying green cover change for sustainable urban planning: A case of Kuala Lumpur, Malaysia. Urban Forestry and Urban Greening, 27 . pp. 287-304. ISSN 1618-8667 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029541312&doi=10.1016%2fj.ufug.2017.08.016&partnerID=40&md5=3f16b5f9c7d471aa30cede4149cda4b0
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic G70.212-70.215 Geographic information system
spellingShingle G70.212-70.215 Geographic information system
Kanniah, K. D.
Quantifying green cover change for sustainable urban planning: A case of Kuala Lumpur, Malaysia
description Despite the numerous benefits of urban green cover, urban land development has led to its destruction and degradation, including in Malaysia. In this study, time series Landsat satellite imagery were used to monitor green cover changes in Kuala Lumpur (KL), the largest and capital city of Malaysia. An advanced satellite image processing technique that considers the mixed-pixel problem was employed to determine the fraction of green cover in each Landsat pixel. Results show that the total green coverage in Kuala Lumpur decreased by 3% over the first study period, from 6564 ha in 2001–5,891 ha in 2013. However, it increased by 4% in the second, from 6215 ha in 2014–7,310 ha in 2016, and now green cover is 30% of the total land area of KL. These periods were selected to observe the changes in green cover before and after implementation of the “Greening KL” program, which was aimed to plant 100,000 trees in KL by year 2020. Most of the increase in green cover was contributed by trees planted along streets and in recreational parks. Other findings include a loss of ∼9% of green cover in two public parks compared to their total gazetted area, and a loss of green area in other forested parts of KL. Focus group discussions and structured interviews with public, private and non-governmental organizations indicate that green-cover losses can be partly attributed to weak regulations and their poor enforcement. Opportunities to protect and increase green cover in KL are also explored in this study. Such approaches are urgently needed before most of the green areas disappear from the landscape of KL, exacerbating the existing environmental problems in the city.
format Article
author Kanniah, K. D.
author_facet Kanniah, K. D.
author_sort Kanniah, K. D.
title Quantifying green cover change for sustainable urban planning: A case of Kuala Lumpur, Malaysia
title_short Quantifying green cover change for sustainable urban planning: A case of Kuala Lumpur, Malaysia
title_full Quantifying green cover change for sustainable urban planning: A case of Kuala Lumpur, Malaysia
title_fullStr Quantifying green cover change for sustainable urban planning: A case of Kuala Lumpur, Malaysia
title_full_unstemmed Quantifying green cover change for sustainable urban planning: A case of Kuala Lumpur, Malaysia
title_sort quantifying green cover change for sustainable urban planning: a case of kuala lumpur, malaysia
publisher Elsevier GmbH
publishDate 2017
url http://eprints.utm.my/id/eprint/75549/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029541312&doi=10.1016%2fj.ufug.2017.08.016&partnerID=40&md5=3f16b5f9c7d471aa30cede4149cda4b0
_version_ 1643657094018105344
score 13.18916