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Evaluating Different Approaches to Model Land Use and Land Cover Change—A Case Study on Yelahanka Urban Watershed, Bangalore

Amulya, M and Gouri, RL and Srinivas, VV and Soumya, SN (2022) Evaluating Different Approaches to Model Land Use and Land Cover Change—A Case Study on Yelahanka Urban Watershed, Bangalore. In: International Virtual Conference on Innovative Trends in Hydrological and Environmental Systems, ITHES 2021, 28 April 2021 through 30 April 2021, Virtual, Online, pp. 293-307.

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Official URL: https://doi.org/10.1007/978-981-19-0304-5_22


Most of the cities in India have been undergoing rapid development in recent decades, and many rural localities are undergoing transformation to urban hotspots. These developments have associated land use/land cover (LULC) changes that affect hydrological response (e.g., evapotranspiration, infiltration, and runoff). There is a need to account for LULC change information in studies related to urban watershed planning and development. In recent years, studies on the impact of LULC change on the landscape and hydrology have gained prominence due to the realization that changes in LULC also influence climate, ecosystem, and hydrological processes. The study presented in this chapter is motivated to model LULC change in the Yelahanka urban watershed of Bangalore, which has witnessed rapid urbanization in the recent past. For the study area, historical LULC maps were prepared corresponding to the years 1996, 2002, 2006, 2012, and 2016. Models based on Markov chain and cellular automata Markov analysis are developed to identify and model changes in LULC patterns. Change detection analysis indicated significant temporal changes in the LULC classes. The developed models are further used for obtaining future projections of LULC. It is observed that among the models considered, the cellular automata Markov model exhibited better performance in yielding projections of the land use classes.

Item Type: Conference Paper
Publication: Lecture Notes in Civil Engineering
Publisher: Springer Science and Business Media Deutschland GmbH
Additional Information: The copyright for this article belongs to the Springer Science and Business Media Deutschland GmbH.
Keywords: Climate change; Land use; Markov processes; Pattern recognition; Watersheds, Cellular automaton markov chain model; Cellular automatons; Future projection of land use/land cover; Future projections; Land use/land cover; Land-use land-cover changes; Markov chain models; Terrset software; Urban watershed, Cellular automata
Department/Centre: Division of Interdisciplinary Sciences > Interdisciplinary Centre for Water Research
Division of Mechanical Sciences > Civil Engineering
Date Deposited: 02 Jul 2022 06:04
Last Modified: 02 Jul 2022 06:04
URI: https://eprints.iisc.ac.in/id/eprint/74090

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