Modelling of land use land cover change using earth observation data-sets of Tons River Basin, Madhya Pradesh, India
Modelling of land use land cover change using earth observation data-sets of Tons River Basin, Madhya Pradesh, India
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DOI：
10.1080/10106049.2017.1343390
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发表时间：
2018-11
影响因子：
3.8
通讯作者：
Sudhir Kumar Singh;P. Laari;S. Mustak;P. Srivastava;S. Szabó
中科院分区：
文献类型：
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作者：
Sudhir Kumar Singh;P. Laari;S. Mustak;P. Srivastava;S. Szabó
摘要应用马尔可夫链与元胞自动机模型（CAMARKOV）相结合的多准则评价技术来产生转移概率。采用非监督方法对1985年、1995年、2005年和2015年的卫星图像进行分类，以适应LULC变化的幅度。结果表明，子流域的空间格局在很大程度上受到生物物理和社会经济驱动因素的影响，导致农业用地和建成区的增长在流域。模拟2025年未来LULC的合理变化，该变化基于CA MARKOV，该CA MARKOV集成了从卫星获取的LULC地图和CA邻接空间滤波器（5 × 5）计算的马尔可夫转移概率。此外，还进行了碎片化分析，以检查2025年的碎片化情况。2025年的结果具有相当好的准确性，将对规划者、政策制定者和决策者有用。
Abstract An 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.