LAND COVER CHANGE DETECTION ANALYSIS ON URBAN GREEN AREA LOSS USING GIS AND REMOTE SENSING TECHNIQUES
DOI:
https://doi.org/10.21837/pm.v11i3.111Keywords:
Land covers detection, green area, urban area, GIS and Remote SensingAbstract
The loss of green area has been rising all over the world particularly in big cities. For a number of decades, urban sprawl and developments have changed the natural landscapes of urban areas where areas with green areas have been converted into built up developments and other land uses. Thus this research intends to study the changes of green areas in Kuala Lumpur based on land use detection analysis approach where 3 series of remote sensing images namely SPOT2, SPOT4 and IKONOS for year 1990, 2001 and 2010 have been used to acquire the data on the green area changes aided by ERDAS IMAGINE 2011 and ARGIS 9.2. The finding of the study shows that there is a decrease in the size of green area in Kuala Lumpur from year 1990-2010 due to pressure of urban developments. Two significant factors which contribute to the changes of green area in Kuala Lumpur have been identified in the study, which are the increase in built up areas and sprawl development pattern.Downloads
References
Amiri, F., &Tabatabaie, T. (2010). Using Remote Sensing data for Vegetation Cover Assessment in Semi - arid Rangeland of Center Province of Iran .
Anderson, J. R., Hardy, E.E., Roach, J.T. &Witmer, R.E. (1976). A Land Use And Land Cover Classification System For Use With Remote Sensor Data . Geological Survey Professional Paper 964. A revision of the land use classification system as presented in U.S. Geological Survey Circular 671.
Chapter 5: Greater Kuala Lumpur/Klang Valley, Economic Transformation Programme . Retrieved http://etp.pemandu.gov.my/upload/etp_Bab_5_greater_klkv.pdf on 12th May 2012 at 8.35PM.
Davis, F.W. &Simonett, D.S. (1991). GIS and Remote Sensing. In: Geographical Information Systems: Principles and Applications . pp. 191 – 213. Longman, London.
Ibrahim, Zainal&Mariamni (2000). Applicat ion of Optical Remote Sensing Technology for Oil Palm Management .Geospatial Communication Network.
Jensen, J. (2000). Remote Sensing of the Environment: An Earth Resource Perspective . Prentice Hall.
Lambin, E. & Geist, H.J. (2007). Causes of Land - Use and Land - Cover Change .The Encyclopedia of Earth.
Langran, G. (1992). Time in Geographic Information Systems .London, Taylor and Francis.
Macleod, R.D., and Congalton, R.G (1998) A quantitative comparison of change detectional Algorithms for monitoring eelgrass from remotely sensed data. Photogrammetric Engineering& Remote Sensing, 64, pages 207 - 216.
McAllister, W.K. (2002). The Land Use and Land Cover Dichotomy: a Comparison of Two Land Classification Systems in Support Of urban Earth Science Applications . NASA Faculty Fellowship Program.Marshall Space Flight Center, the University Of Alabama.
Mohd Noor, N. Alias A.,. Mazlan, H and. Zainora (2012) M.A Managing Urban Land in Developing Countries Using GIS and Remote Sensing: Towards Resilient Cities .Department of Urban and Regional Planning, IIUM, Gombak, Malaysia.
Mohd Noor, N., Abdullah, A and Mazlan, H (2011). ). Classification of Satellite fused data for land use maping in Development Plan Purposes, Journal of Malaysian Institute of Planners, Vol.9.pg.97 - 10 6,ISSN 1675 - 6215
Mohd Noor, N. and Hashim, M (2009 a ). Modelling un - authorized Land Use Sprawl with integrated Remote Sensing - GIS Technique and Cellular Automata, Workshop on Geographical Analysis, Urban Modeling, Spatial statistics (GEO - AN - MOD 09), ICCSA 2009, Part I, LNCS 5592, pg 163 - 175. 29 June - 2 July 2009. Busan. Korea
Mohd Noor, N. and Hashim, M (2009 b ) Remote Sensing in Urban Sprawl Modeling: Challenges and Way Forward in Urban Planning in Malaysia, 6th International Symposium on Digital Earth , Paper ID: 042750675, 9th - 10th September 2009 Beijing China.
Relf, D. (2009). The Value of Landscaping .Virginia Cooperative Extension.
Shukla, S. (2011). Make Our Blue Planet Green: World Environment Day 2011 . Citizen News Service. Retrieved from http://www.citizen - news.org/2011/06/world - environment - day - 2011.html on 2nd July 2012 at 3.25PM.
Syriou, A. (2008). Comparison of Satellite and Airborne Remote Sensing For GreenSpaces in Urban Areas: Example of Edinburgh, UK . The University of Edinburgh .
The Star (2012). Heavy downpour causes flash floods, massive traffic jams in Klang Valley . Retrieved http://thestar.com.my/news/story.asp?file=/2012/5/7/nation/2012 0507080&sec=nation on 7th May 2012 at 9.45PM.
VanBommel, F., Heitkonig, I., Epema, G., R ingrose, S., Bonyongo, C., &Veenendaal, E. (2006). Remotely Sensed Habitat Indicators for Predicting Distribution of Impala (Aepyceros melampus) in the Okavango Delta, Botswana. Journal of Tropical Ecology , 22, pg. 101 - 110.
Vázquez, M. (2011). How much g reen space does your city have? SustainableCities.net Retrieved from http://blog.sustainablecities.net/2011/07/13/how - many - metres - of - green - space - does - your - city - have/ on 17th May 2012 on 8.45AM.
Vitousek PM (1992). Global environmental change: an introduction.Ann. Rev. Ecol. Syst. 23: 1 – 14.
Yuan, M. (1996). Temporal GIS and Spatio - Temporal Modeling. Department of Geography, the University of Oklahoma
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eISSN: 0128-0945 © Year. The Authors. Published for Malaysia Institute of Planners. This is an open-access article under the CC BY-NC-ND license.
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