Sains Malaysiana 48(11)(2019): 2307–2315
http://dx.doi.org/10.17576/jsm-2019-4811-02
Urban Expansion Analysis using Landsat
Images in Penang, Malaysia
(Analisis Pengembangan Bandar menggunakan
Imej Landsat di Pulau Pinang, Malaysia)
YI LIN
TEW1,
MOU
LEONG
TAN1*,
NARIMAH
SAMAT1
& XIAOYING YANG2
1Geography Section,
School of Humanities, Universiti Sains
Malaysia, 11800 Pulau Pinang, Malaysia
2Department of Environmental
Science and Engineering, Fudan University,
No. 220 Handan Rd, Shanghai 200433, China
Received: 31 March 2019/Accepted:
15 August 2019
ABSTRACT
Urban
expansion mapping is important in urban planning, land use and water
resources management. The purpose of this study is to evaluate the
spatio-temporal trends of urban expansion
in Penang using three Landsat satellite images taken in 2004, 2011
and 2018. Maximum Likelihood was used to classify the land uses
into urban, agricultural, water, and forest. Comparison of the classified
images with time-series Google Earth images and field data collection
resulting an accuracy up to 90%. The results showed that urban have
been expanded around 5% from 2004 to 2018. Major urban development
is mainly found in the eastern part of Penang island. Meanwhile,
major development in the Penang mainland can be found in the middle
and western regions. Due to the limited development land on the
Penang Island, a rapid urban expansion can be found in the south-western
part of the Penang mainland that near to the second bridge. In order
to maintain the city and community sustainability in Penang, government
needs to plan on balanced socio-economic growth for the near future.
Keywords: Change detection; land
use and land cover change; maximum likelihood classifier; Penang;
urban growth analysis
ABSTRAK
Pemetaan keluasan bandar adalah penting dalam perancangan bandar, pengurusan guna tanah dan
sumber air. Kajian
ini bertujuan untuk
menilai corak
perubahan ruang-masa kawasan bandar di Pulau Pinang dengan menggunakan tiga imej satelit Landsat yang diambil pada tahun
2004, 2011 dan 2018. Kaedah
kebolehjadian maksimum
telah diguna pakai
untuk mengelaskan
jenis guna tanah
kepada bandar,
pertanian, air dan hutan. Perbandingan antara hasil pengelasan
imej dengan
imej siri masa Google Earth dan kerja lapangan
menunjukkan ketepatan
hasil kajian ini
mencapai 90%. Keputusan
menunjukkan kawasan bandar telah bertambah
5% dari 2004 hingga
2018. Perkembangan pesat di bahagian Pulau tertumpu di bahagian timur. Manakala perkembangan utama di tanah besar Pulau
Pinang boleh didapati
di bahagian timur dan selatan. Disebabkan
kekurangan tanah
pembangunan di bahagian pulau, kawasan di sebelah barat daya
tanah besar
Pulau Pinang yang berhampiran dengan jambatan kedua telah mengalami
perkembangan yang pesat.
Oleh itu, kerajaan
perlu mengambil
tindakan dalam pengimbangan perkembangan sosio-ekonomi selaras dengan perkembangan bandar di negeri Pulau Pinang demi kelestarian bandar dan komuniti
pada masa depan.
Kata kunci: Analisis
pengembangan bandar;
klasifikasi kebolehjadian maksimum; pengesanan perubahan; perubahan guna tanah; Pulau
Pinang
REFERENCES
Ahmad, M.S., Fahmi, M.R., Rahim, M.A. &
Ibrahim, N. 2016. Kesan gabungan
aktiviti guna
tanah dan perubahan
musim terhadap
kualiti sumber air: Kajian kes di terusan
Utara, Kedah. Sains Malaysiana
45(12): 1857-1867.
An,
Y., Tsou, J.Y., Wong, K., Zhang, Y., Liu, D. & Li, Y. 2018.
Detecting land use changes in a rapidly developing city during 1990-2017
using satellite imagery: A case study in Hangzhou urban area, China.
Sustainability 10(9): 3303.
Asnawi, N.H. & Lam,
K.C. 2016. Analisis perubahan
guna tanah dan litupan bumi
di Gombak, Selangor menggunakan data penderiaan Jauh. Sains Malaysiana 45(12):
1869-1877.
Boakye, E., Odai, S.N., Adjei, K.A. & Amor,
F.O. 2008. Landsat images for assessment of the impact of land use
and land cover changes on the Barekese
Catchment in Ghana. European Journal of Scientific Research 21(4):
617-626.
Chander, G., Markham, B.L.
& Helder, D.L. 2009. Summary of current
radiometric calibration coefficints for
Landsat MSS, TM, EM+, and EO-1 ALI sensors. Remote Sensing of
Environment 113: 893-903.
Chen,
L., Ren, C., Zhang, B., Wang, Z. & Liu, M. 2018. Quantifying
urban land sprawl and its driving forces in Northeast China from
1990 to 2015. Sustainability 10(1): 188.
Chen,
S. & Rao, P. 2008. Land degradation monitoring using multi-temporal
Landsat TM/ETM data in a transition zone between grassland and cropland
of northeast China. International Journal of Remote Sensing 29(7):
2055-2073.
Cheruto, M.C., Kauti, M.K., Klsangau, P.D. &
Katuki, P. 2016. Assessment of land use
and land cover change using GIS and remote sensing techniques: A
case study of Makueni County, Kenya. Journal of Remote Sensing &
GIS 5(4): 175.
Gao,
J. & Liu, Y. 2010. Determination of land degradation causes
in Tongyu County, Northeast China via land cover change detection.
International Journal of Applied Earth Observation and Geoinformation 12: 9-16.
Geyman, A. & Baz, I.
2007. Monitoring urban growth and detecting land-cover changes on
the Istanbul metropolitan area. Environment Monitoring Assessment
136(3): 449-459.
Gounaridis, D., Symeonakis, E., Chorianopoulos,
I. & Koukoulas, S. 2018. Incorporating
density in spatiotemporal land use/ cover change patterns: The case
of Attica, Greece. Remote Sensing 10(7): 1034.
Hasan,
H.B., Radi, N.F.B.A. & Kassim,
S.B. 2012. Modeling of extreme temperature using Generalized Extreme
Value (GEV) distribution: A case study of Penang. Proceedings
of the World Congress on Engineering, July 4 - 6, 2012, London,
U.K. Volume I.
Hassan,
M.M. & Southworth, J. 2017. Analyzing
land cover change and urban growth trajectories of the Mega-Urban
Region of Dhaka using remotely sensed data and an ensemble classifier.
Sustainability 10(10): 24.
Hu,
Y., Kong, X., Zheng, Ji., Sun, J., Wang, L. & Min, M. 2018.
Urban expansion and farmland loss in Beijing during 1980- 2015.
Sustainability 10(11): 3927.
Jia, Z., Ma, B., Zhang, J. & Zeng,
W. 2018. Simulating spatial-temporal changes of land-use based on
ecological redline restrictions and landscape driving factors: A
case study in Beijing. Sustainability 10(4): 1299.
Kharas, H. 2010. The
Unprecedented Expansion of the Global Middle Class. Washington:
Global Economy & Development at Brookings.
Khoo, N. 2016. Batu
Kawan’s future potential. EdgeProp
Smarter property seach. https://www.edgeprop.my/content/1000715/
batu-kawan%E2%80%99s-future-potential#
Landis,
J.R. & Koch, G.G. 1977. A One-way components of variance model
for categorial data. Biometrics 33(4): 671- 679.
Mahiny, A.S. & Keith,
C. 2012. Guiding SLEUTH land-use/ land-cover change modeling using
multicriteria evaluation: Towards dynamic sustainable land-use
planning. Environment and Planning B Planning and Design 39:
21. https://doi. org/10.1068/b37092.
Mandeep, J.S. & Hassan,
S.I.S. 2008. Cloud attenuation for satellite applications over equatorial
climate. IEEE Antennas and Wireless Propagation Letters 7:
152-154.
Masum, K.M., Mansor,
A., Sah, S.A.M. & Lim, H.S. 2017.
Effect of differential forest management on land-use change (LUC)
in a tropical hill forest of Malaysia. Journal of Environmental
Management 200: 468-474.
Ong,
K.M. & Tan, B.T.N. 2017. Penang’s Economy is Healthy and Strong,
with Incomes Rising and Inequality Decreasing. Penang Institute
Issues November 2017.
Penang
State Government. 2018. Penang 2030: A Family- Focused Green
and Smart State to Inspire the Nation. https:// www.penang.gov.my/kenyataan-akhbar/360297-penang-
2030-a-family-focused-green-and-smart-state-to-inspire-the-nation.
Rimal, B., Zhang, L., Stork, N., Sloan,
S. & Rijal, S. 2018. Urban expansion
occured at the expense of agricultural lands in the Tarai Region of Nepal from 1989 to 2016. Sustainability
10: 1341.
Rozenstein, O. & Karnieli, A. 2011. Comparison of methods for land-use classification
incorporating remote sensing and GIS inputs. Applied Geography
31(2): 533-544.
Samat, N., Ghazali,
S., Hasni, R. & Elhadary,
Y. 2014. Urban expansion and its impact on local communities: A
case study of Seberang Perai, Penang, Malaysia.
Social Science & Humanities 2(22): 349-367.
Su,
S., Sun, Y., Lei, C., Weng, M. & Cai, Z. 2017. Reorienting paradoxial
land use policies towards coherence: A self-adaptive ensemble learning
geo-simulation of tea expansion under different scenarios in subtropical
China. Land Use Policy 67(11): 0624-8377.
Tan,
K.C., Lim, H.S., MatJafri, M.Z. &
Abdullah, K. 2010. Landsat data to evaluate urban expansionand
determine land use/land cover changes in Penang Island, Malaysia.
Environmental Earth Sciences 60(7): 1509-1521.
Tan,
M.L., Samat, N., Chan, N.W., Lee, A.J.
& Li, C. 2019. Analysis of precipitation and temperature extremes
over the Muda River Basin, Malaysia. Water 11(2): 283.
Tong,
S., Dong, Z., Zhang, J., Bao, Y., Guna,
A. & Bao, Y. 2018. Spatiotemporal
variations of land use/cover changes in Inner Mongolia (China) during
1980-2015. Sustainability 10: 4730.
Yang,
F. 2009. If ‘Smart’ is ‘Sustainable’? An analysis of Smart Growth
Policies and its successful practices. Graduate Theses and Dissertations.
Iowa: Iowa State University (Unpublished).
Zhang,
Y., Wang, P., Wang, T., Cai, C., Li, Z.
& Teng, M. 2018. scenarios simulation of spatio-temporal
land use changes for exploring sustainable management strategies.
Sustainability 10: 1013.
*Corresponding author; email: mouleong@usm.my
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