Abstract
This study demonstrated the efficacy of remote sensing technology, GIS and AHP-TOPSIS model to quantify vulnerability of different segments of urban landscape to land use transformation. Six different factors such as Accommodating Index (AI), Mean Heterogeneity Index (MHI), Landscape Shape Index (LSI), Division Index (DI), Cohesion Index (CI), and Distance (D) were identified as inputs to the AHP-TOPSIS model. The Landsat 8 satellite data was classified using supervised classification to determine the aforementioned factors. The influencing factors may have varying intensity in triggering land use conversion. Therefore, the relative importance of the aforementioned factors was quantified using AHP. Furthermore the influence of factors can be either positive or negative on the phenomenon. Thus, Technique of Order of Preference for Similarity to Ideal Solution (TOPSIS) was employed in the present study. The results succeeded in handling the varying characteristics of the variables, and are very close to the actual field-scenario.
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Akineymi, F.O.: An assessment of land-use change in the Cocoa Belt of south-west Nigeria. Int. J. Remote Sens. (2013)
Al-Harbi, K.M.A.S. (2001). Application of the AHP in project management. Int. J. Project Manage, 19, 19–27 (2001)
Cabral, P., Augusto, G., Tewolde, M, Araya, Y.: Entropy in Urban Systems. Entropy, 15, 5223–5236, doi:10.3390/e15125223 (2013)
Cheng, J.: Modelling spatial and temporal growth. PhD dissertation, Faculty of Geographical Sciences, Utrecht University, The Netherland (2003)
Cohen, B.: Urbanization in developing countries: Current trends, future projections, and key challenges for sustainability. Technol. Soc. 28, 63–80 (2006)
Caldas, M.M., Goodin, D., Sherwood, S., Krauer, J.M.C. and Wisely, S.M.: Land-cover change in the Paraguayan Chaco: 2000–2011. J Land Use Sci. Vol. 10, No. 1, 1–18, http://dx.doi.org/10.1080/1747423X.2013.807314 (2015)
Deng, J.S., Wang, K., Deng, Y.H., Qi, G.J. (2007). PCA-based land-use change detection and analysis using multi temporal and multi sensor satellite data. Int. J. Remote Sens. Vol. 29, No. 16, 4823–4838 (2007)
Fragstatsmetrics. http://www.umass.edu/landeco/research/fragstats/documents/Metrics/Metrics%20TOC.htm (accessed Jan 10, 2015)
Gartaula, H.N., Chaudhary, P. and Khadka, K.: Land Redistribution and Reutilization in the Context of Migration in Rural Nepal. Land, 3, 541–556. doi:10.3390/land3030541 (2014)
Jahanshahloo, G.R., Lotfi, F.H. and Izadikhah, M.: Extension of the TOPSIS method for decision-making problems with fuzzy data. Appl. Math. Comput. 181, 1544–1551 (2006)
Miller, D., Munroe, D.K.: Current and future challenges in land use science. J. Land Use Sci. (2014)
Sudhira, H.S., Ramachandra, T.V., Jagadish, K. S.: Urban sprawl: metrics, dynamics and modelling using GIS. Int. J. Appl. Earth Obs. Geoinf. 5 29–39, (2004)
Veldkamp, A., Lambin, E.F.: Predicting land use change. Agr. Ecosyst. Environ. 85, 1–6, (2001)
Zeng, C., He, S., Cui, J.: A multi-level and multi-dimensional measuring on urban sprawl: a case study in Wuhan metropolitan area, central China. Sustainability.6, 3571–3598. doi:10.3390/su6063571, (2014)
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The authors are grateful to the Vice Chancellor, Birla Institute of Technology, Mesra, and Ranchi for providing necessary facilities to perform the present study.
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Mukherjee, A.B., Krishna, A.P., Patel, N. (2018). Application of Remote Sensing Technology, GIS and AHP-TOPSIS Model to Quantify Urban Landscape Vulnerability to Land Use Transformation. In: Mishra, D., Nayak, M., Joshi, A. (eds) Information and Communication Technology for Sustainable Development. Lecture Notes in Networks and Systems, vol 10. Springer, Singapore. https://doi.org/10.1007/978-981-10-3920-1_4
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DOI: https://doi.org/10.1007/978-981-10-3920-1_4
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