Land Use and Land Cover Change Modeling and Future Potential Landscape Risk Assessment Using Markov-CA Model and Analytical Hierarchy Process

• Main Authors: Biswajit Nath, Zhihua Wang, Yong Ge, Kamrul Islam, Ramesh P. Singh, Zheng Niu
• Format: Article
• Language: English
• Published: MDPI AG 2020-02-01
• Series: ISPRS International Journal of Geo-Information
• Subjects: lulcc modeling; cellular automata–markov (ca-markov); future potential landscape risk (fplr); dujiangyan city and environs (dcen); sw china
• Online Access: https://www.mdpi.com/2220-9964/9/2/134

Land use and land cover change (LULCC) has directly played an important role in the observed climate change. In this paper, we considered Dujiangyan City and its environs (DCEN) to study the future scenario in the years 2025, 2030, and 2040 based on the 2018 simulation results from 2007 and 2018 LULC maps. This study evaluates the spatial and temporal variations of future LULCC, including the future potential landscape risk (FPLR) area of the 2008 great (8.0 M_w) earthquake of south-west China. The Cellular automata−Markov chain (CA-Markov) model and multicriteria based analytical hierarchy process (MC-AHP) approach have been considered using the integration of remote sensing and GIS techniques. The analysis shows future LULC scenario in the years 2025, 2030, and 2040 along with the FPLR pattern. Based on the results of the future LULCC and FPLR scenarios, we have provided suggestions for the development in the close proximity of the fault lines for the future strong magnitude earthquakes. Our results suggest a better and safe planning approach in the Belt and Road Corridor (BRC) of China to control future Silk-Road Disaster, which will also be useful to urban planners for urban development in a safe and sustainable manner.