LANDSCAPE DYNAMICS MODELING THROUGH INTEGRATED MARKOV, FUZZY-AHP AND CELLULAR AUTOMATA

Aithal, Bharath H and Vinay, S and Ramachandra, TV (2014) LANDSCAPE DYNAMICS MODELING THROUGH INTEGRATED MARKOV, FUZZY-AHP AND CELLULAR AUTOMATA. In: 2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) , JUL 13-18, 2014, Quebec, CANADA.

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Abstract

Multi temporal land use information were derived using two decades remote sensing data and simulated for 2012 and 2020 with Cellular Automata (CA) considering scenarios, change probabilities (through Markov chain) and Multi Criteria Evaluation (MCE). Agents and constraints were considered for modeling the urbanization process. Agents were nornmlized through fiizzyfication and priority weights were assigned through Analytical Hierarchical Process (AHP) pairwise comparison for each factor (in MCE) to derive behavior-oriented rules of transition for each land use class. Simulation shows a good agreement with the classified data. Fuzzy and AHP helped in analyzing the effects of agents of growth clearly and CA-Markov proved as a powerful tool in modelling and helped in capturing and visualizing the spatiotemporal patterns of urbanization. This provided rapid land evaluation framework with the essential insights of the urban trajectory for effective sustainable city planning.

Item Type:	Conference Proceedings
Series.:	IEEE International Symposium on Geoscience and Remote Sensing IGARSS
Publisher:	IEEE
Additional Information:	Copy right for this article belongs to the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Quebec, CANADA, JUL 13-18, 2014
Keywords:	Bangalore; CA; AHP; Fuzzy; Markov
Department/Centre:	Division of Biological Sciences > Centre for Ecological Sciences
Date Deposited:	20 Apr 2015 07:48
Last Modified:	29 Aug 2022 05:16
URI:	https://eprints.iisc.ac.in/id/eprint/51269

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