LAND USE CHANGE PREDICTION IN DHAKA CITY USING GIS AIDED MARKOV CHAIN MODELING
By: Md. Shahidul Islam, Raquib Ahmed
Key Words: Land use, land use change, land use modeling.
JLES-Vol-6-No-P-81-89, December 2011
AbstractThe main objective of this paper is to evaluate the land use change in Dhaka City based on the need and purpose to predict future scenario of Dhaka City. Dhaka being a mega city has been challenged by numerous difficulties like unplanned urbanization, traffic congestion, water logging etc. Land use classification and analysis is performed using a GIS and Remote sensing technique, and GIS aided ‘Markov Cellular Automata’ technique is used to model the land use change. Based on the past trend (from 1991 to 2008) of land use changes, the future land use map of Dhaka city for the year of 2020 and 2050 has been generated. And collected maps and images were sorted and classified for analysis and interpretation. Landsat TM image of 1991 and Google image of 2008 were employed in this study to produce land use classification based on Anderson modified version method. IDRISI, Land Change Modeler (LCM) was used to analyze the land use/cover changes between various classes during the period 1991-2008. It is assumed that this kind of research will contribute to shaping the urban form of the city in a planned manner. So, that Dhaka can be a much more livable and planned city in near future.
Anderson JR, Hardy EE, Roach JT and Witmer RE. 1976. A Land Use and Land Cover Classification System for Use with Remote Sensor Data, U.S. Geological Survey, Professional Paper 964, p. 28, Reston, VA. (http://www.fws.gov/wetlands/_documents/gSandT/ OtherInformation/LandUseLandCoverClassification System.pdf)
Banglapedia 2004. Asiatic Society of Bangladesh, Dhaka.
EIU (Economist Intelligence Unit) 2010. The Economist, UK-based weekly magazine, February 14, 26 Red Lion Square, London WC1R 4HQ, United Kingdom. (https://www.economistsubscriptions.com/ecom529/global/)
Geoghegan J, Klepeis SCP, Mendoza PM, Yelena OR, Chowdhury R, Turner II BL and Vance C. 2001. Modeling tropical deforestation in the southern Yucatan peninsular region: comparing survey and satellite data. Agriculture, Ecosystems and Environment, 85: 25-46.
IDRISI 2006. Idrisi Andes Guide to GIS and Image Processing. Clark labs, Clark University, USA (http://www.cartografia.cl/download/manuales/idrisi_a ndes.pdf).
Islam MS. 2011. Land use Change and Environmental Degradation in Dhaka City Unpub. PhD Thesis, Institute of Environmental Science, University of Rajshahi, Bangladesh. 289 pp.
RAJUK 1997. Dhaka Metropolitan Development Plan (1995- 2015) Rajdhani Unnayan Kartripakha, Dhaka. Vol. 1 & 2. Verburg PH, Chen Y, Soepboer W and Veldkamp A. 2000. GIS-based modeling of human-environment interactions for natural resource management.
Applications in Asia. Proc. 4th Int. Conf. Integrat. GIS Environ. Modeling (GIS/EM4): Problems, Prospects and Research Needs, Banff, Alberta, Canada, Sept. 2 – 8, 2000, pp. 1-18. (http://gissrv.iend.wau.nl/~clue/banf/ banf71/banf71html).
Manuscript received on 10 June 2011 and revised on 7 January 2012
Md. Shahidul Islam, Raquib Ahmed
LAND USE CHANGE PREDICTION IN DHAKA CITY USING GIS AIDED MARKOV CHAIN MODELING
JLES-Vol-6-No-P-81-89, December 2011
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