Modelling of land use land cover change using earth observation data-sets of Tons River Basin,Madhya Pradesh,India |
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| Authors: | Sudhir Kumar Singh Prosper Basommi Laari Sk Mustak Prashant K Srivastava Szilárd Szabó |
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| Institution: | 1. K. Banerjee Centre of Atmospheric and Ocean Studies, IIDS, Nehru Science Centre, University of Allahabad, Allahabad, Indiasudhirinau@allduniv.ac.in;3. Department of Environment and Resource Study, UDS Studies, Tamale, Ghana;4. School of Studies in Geography, Pt. Ravishankar Shukla University, Raipur, India;5. Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, India;6. Department of Physical Geography and Geoinformatics, University of Debrecen, Debrecen, Hungary |
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| Abstract: | AbstractAn integrated Markov Chain and Cellular Automata modelling (CA MARKOV), multicriteria evaluation techniques have been applied to produce transition probability. The unsupervised method was employed to classify the satellite images of year 1985, 1995, 2005 and 2015 to meet the magnitude of LULC change. Results showing the spatial pattern of the sub-basin is largely influenced by the biophysical and socio-economic drivers leading to growth of agricultural lands and built-up area in the basin. Simulated plausible future LULC changes for 2025 which is based on a CA MARKOV that integrates Markovian transition probabilities computed from satellite-derived LULC maps and a CA contiguity spatial filter (5 × 5). Further, the fragmentation analysis was performed to check the fragmentation scenario in the year 2025. The result for year 2025 with reasonably good accuracy will be useful to the planners, policy- and decision-makers. |
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| Keywords: | Earth observation LULC change cellular automata Markov chain analysis India |
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