Spatio-Temporal Land Cover Changes Monitoring

Land Use and Land Cover (LULC) dynamics in Riyadh over a decade were comprehensively analyzed using the Google Earth Engine (GEE) platform. By harnessing the Landsat 8 Image collection and night-time light image collection from May to August for the years 2013 and 2023 we were able to generate insightful datasets capturing the changing landscape of the region. Our approach involved a Random Forest (RF) classification model that consistently displayed commendable precision scores above 92% for both years. A notable discovery from the study was the pronounced urban expansion particularly around Riyadh city. Within a mere ten-year span urbanization surged noticeably affecting the broader ecological environment of the region. Interestingly the northeastern part of Riyadh emerged as a focal point of this growth signaling rapid urban growth of urban sprawl and development. A comparison between the two years indicates a 21.51% increase in built-up areas revealing the transformative pace of urban sprawl. Contrastingly vegetation cover patterns presented a more nuanced picture.