Urban Change Detection and Growth Analysis (2014-2024): A Remote Sensing Study of Riyadh, London, and Seoul

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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Published
2025-09-22
DOI
https://doi.org/10.64589/juri/209731
Primary Topic
Korean Urban and Social Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Urban Change Detection and Growth Analysis (2014-2024): A Remote Sensing Study of Riyadh, London, and Seoul

Muhammad Bilal, Zahra Fausal Alhaddad
Korean Urban and Social Studies
article

Urban Change Detection and Growth Analysis (2014-2024): A Remote Sensing Study of Riyadh, London, and Seoul

Muhammad Bilal, Zahra Fausal Alhaddad
article en

Abstract

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.

Vol. 1(1)
Department of Chemistry and Earth Sciences (BY), Environmental Earth Sciences (AU)
King Fahd University of Petroleum and Minerals
Openalex Percentile: Top 65%
Korean Urban and Social Studies
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