LAUSR

Urban dynamic temporal analysis is essential for the policymaker, natural resources management plan, decision-makers, and scientific purposes. Satisfactory urban management strategies depend on consistent plotting of land use land cover changes. Remote sensing procedures in temporal change detection bring reliability to the decision taker for wide-cover management plans. Two temporal datasets of images were processed to estimate the urban dynamics in current research. SAR microwave data and MSI optical data were acquired from the European Space Agency in 2016 and 2020. For each dataset, preprocessing and data-specific processing procedures were followed to estimate the Urban Footprint within the study area. The urban coherence technique was applied to SAR data, and the change detection technique based on supervised classification was applied on MSI data to estimate the Urban Footprint. The accuracy assessment was estimated using ground truth points (150) as well as training sites (30). The results indicated that the urban expansion in Jeddah city was increased to be nearly 8% using optical data; however, it was increased to be less than 3% using SAR data. Irrespective of MSI data accuracy assessment (83.19%), SAR data showed more consistent Urban Footprinting (92.35%). Therefore, the urban coherence of the coastal city of Jeddah is reliably emphasized using SAR data over MSI data which is a decision-making significance to manage the natural resources within comparable arid environments.