Evaluating Different Approaches to Model Land Use and Land Cover Change—A Case Study on Yelahanka Urban Watershed, Bangalore
2022; Springer Nature; Linguagem: Inglês
10.1007/978-981-19-0304-5_22
ISSN2366-2557
AutoresM. Amulya, R. L. Gouri, V. V. Srinivas, S. N. Soumya,
Tópico(s)Flood Risk Assessment and Management
ResumoMost 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.
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