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Land Use and Land Cover Changes, and Environment and Risk Evaluation of Dujiangyan City (SW China) Using Remote Sensing and GIS Techniques

Author

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  • Biswajit Nath

    (The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences (CAS), P.O. Box 9718, Datun Road, Chaoyang District, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences (UCAS), No. 19A Yuquan Road, Shijingshan, Beijing 100049, China
    Department of Geography and Environmental Studies, University of Chittagong, Chittagong 4331, Bangladesh)

  • Zheng Niu

    (The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences (CAS), P.O. Box 9718, Datun Road, Chaoyang District, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences (UCAS), No. 19A Yuquan Road, Shijingshan, Beijing 100049, China)

  • Ramesh P. Singh

    (School of Life and Environmental Sciences, Schmid College of Science and Technology, Chapman University, One University Drive, Orange, CA 92866, USA)

Abstract

Understanding of the Land Use and Land Cover (LULC) change, its transitions and Landscape risk (LR) evaluation in earthquake-affected areas is important for planning and urban sustainability. In the present study, we have considered Dujiangyan City and its Environs (DCEN), a seismic-prone area close to the 2008 Wenchuan earthquake (8.0 M w ) during 2007–2018. Five different multi-temporal data sets for the years 2007, 2008, 2010, 2015, and 2018 were considered for LULC mapping, followed by the maximum likelihood supervised classification technique. The individual LULC maps were further used in four time periods, i.e., 2007–2018, 2008–2018, 2010–2018, and 2015–2018, to evaluate the Land Use and Land Cover Transitions (LULCT) using combined remote sensing and GIS (Geographical Information System). Furthermore, multi-criteria evaluation (MCE) techniques were applied for LR mapping. The results of the LULC change data indicate that built-up, agricultural area, and forest cover are the prime categories that had been changed by the natural and anthropogenic activities. LULCT, along with multi-parameters, are suggested to avoid development in fault-existing areas that are seismically vulnerable for future landscape planning in a sustainable manner.

Suggested Citation

  • Biswajit Nath & Zheng Niu & Ramesh P. Singh, 2018. "Land Use and Land Cover Changes, and Environment and Risk Evaluation of Dujiangyan City (SW China) Using Remote Sensing and GIS Techniques," Sustainability, MDPI, vol. 10(12), pages 1-32, December.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:12:p:4631-:d:188380
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    1. Yang Yi & Yuanyuan Zhao & Guodong Ding & Guanglei Gao & Mingchang Shi & Yue Cao, 2016. "Effects of Urbanization on Landscape Patterns in a Mountainous Area: A Case Study in the Mentougou District, Beijing, China," Sustainability, MDPI, vol. 8(11), pages 1-14, November.
    2. Schirpke, Uta & Kohler, Marina & Leitinger, Georg & Fontana, Veronika & Tasser, Erich & Tappeiner, Ulrike, 2017. "Future impacts of changing land-use and climate on ecosystem services of mountain grassland and their resilience," Ecosystem Services, Elsevier, vol. 26(PA), pages 79-94.
    3. Martin Herold & Joseph Scepan & Keith C Clarke, 2002. "The Use of Remote Sensing and Landscape Metrics to Describe Structures and Changes in Urban Land Uses," Environment and Planning A, , vol. 34(8), pages 1443-1458, August.
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