Analysing and predicting changes in land use and land cover (LULC) and urban growth are crucial for sustainable management and socio-economic development planning. This paper focuses on studying the urban land use expansion in Salalah City using high-resolution Landsat 8 satellite imagery from 2013 to 2021. Remote sensing techniques, such as maximum likelihood classification (MLC) and Geographic Information Systems (GIS), are employed to obtain Land Use Land Cover (LULC) change maps. Additionally, the future growth of urban land use from 2031 to 2041 is assessed using the Markov cellular automata (MCA) model in QGIS 2.26. The studies utilised four essential spatial variable maps—elevation, slope, aspect, and distance from the road in an ANN-Multi Layer Perception model to predict the impact on LULC changes between 2013 and 2017. The accuracy assessment of projected LULC maps for 2021 yielded promising results, with an overall Kappa value of 0.90 and a correctness percentage of 94.55 %. The results revealed a notable increase in built-up areas, rising from 79.82% in 2021 to a projected 96.96% in 2031 and 113.74% in 2041. Simultaneously, water bodies, bare ground, and range land experienced a decrease over time. These valuable findings have significant implications for urban planners and policymakers, offering insights for developing optimal land use plans and implementing better management techniques for the sustainable long-term development of natural resources.

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