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
Diserahkan: 31 Mac
2019/Diterima: 15 Ogos 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
RUJUKAN
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.
*Pengarang untuk surat-menyurat;
email: mouleong@usm.my
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