This study analyzes urban growth dynamics using remote sensing data in Riyadh, London, and Seoul, highlighting policy impacts.
This study analyzed urban expansion in Riyadh, London, and Seoul from 2014 to 2024 using Landsat 8 and 9 surface reflectance imagery. Four spectral indices—NDVI (Normalized Difference Vegetation Index), NDBI (Normalized Difference Built-up Index), BUI (Built-up Index), and IBI (Index-Based Built-up Index)—were applied within Google Earth Engine (GEE) to classify built-up and non-built-up areas. Annual threshold-based classification was performed, and the resulting maps were visualized using collage tables and time-series charts to track gain, loss, and overall trends. Riyadh exhibited rapid horizontal growth, with extensive built-up expansion aligned with national development plans. In contrast, London’s urban change was minimal, largely constrained by planning policies and focused on densification. Seoul revealed a dual trend of peripheral expansion and inner-city redevelopment, influenced by population demands and infrastructure projects. The results highlight significant variation in urban growth dynamics across the three cities and emphasize the need for context-specific remote sensing thresholds. Despite challenges such as vegetation interference and threshold sensitivity, the multi-index approach provides a robust and repeatable methodology for long-term urban change monitoring. The study offers actionable insights for urban planners and policymakers seeking to manage sustainable development amid growing urban pressures.
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Alhaddad et al. (2025) studied this question.
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