Evaluating and Predicting the Land Use Land Cover Changes and its Impact on Land Surface Temperature using CA-Markov model: A study of District Mardan, Pakistan
Keywords:
LULC, GIS, Land Surface Temperature, Urban Expansion, CA-Markov Chain AnalysisAbstract
The Rapid population growth is a global phenomenon that alters landscapes and affects environmental conditions. The aim of this study is to find out the effects of urbanization on Land Use Land Cover (LULC) change and its impact on Land Surface Temperature (LST) in District Mardan from 2002 to 2022, and predict LULC and surface temperature changes for future two decades (2042). The study uses remotely sensed data and Geographic Information Systems (GIS) to evaluate the correlation between the conversion of natural landscapes to built-up regions and the subsequent changes in LST. The key goals are to investigate LULC changes over the last two decades examine the influence of LULC on LST and on the basis of these changes forecast the future LULC and LST trends using the CA-Markov model in IDRISI SILVA software for the year 2042. The examination of LULC changes from 2002 to 2022 found that built-up areas increased significantly and vegetation decreased. Built-up land increased from 10.10 % in 2002 to 16.28% in 2022, resulting in a 6% growth while vegetation covers experienced a decrease of almost 10% of total Land cover. Similarly, in LST it is observed that more areas are getting prone to high temperature in 2022 relative to 2002. In 2002, 37% of the total area experienced below 30o Celsius temperature while in 2022 it dropped to 28% of the total area. Additionally, by correlating LULC with LST it is evaluated that Barren surface and Built-up regions experienced high temperature. On the other hand, vegetation and water land parts of the study area experienced low and moderate temperatures. The CA-Markov model predicts that built-up land will increase by 19% in 2042, continuing the current trend, and the vegetation area of land will decrease by 4% of the current status in 2022. Furthermore, the LST analysis indicates an increase in temperature, and low-temperature regions are predicted to decrease further by another 3% of the total study area as a result, the research shows that LST increases as built-up regions expand. This study not only illuminates the historical trajectory of urbanization and its thermal effects in District Mardan, but it also gives critical insights for sustainable land-use planning and urban heat island mitigation measures in the next decades.
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