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Advancing Urban Resilience: A Review of GIS and Remote Sensing in Land Subsidence Analysis for Urban Planning
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 57 |
| Year of Publication: 2025 |
| Authors: Shrinidhi J. Naik, Rahul M. Samant, Parth A. Kedar, Prashant B. Gardhe |
10.5120/ijca2025925951
|
Shrinidhi J. Naik, Rahul M. Samant, Parth A. Kedar, Prashant B. Gardhe . Advancing Urban Resilience: A Review of GIS and Remote Sensing in Land Subsidence Analysis for Urban Planning. International Journal of Computer Applications. 187, 57 ( Nov 2025), 70-77. DOI=10.5120/ijca2025925951
Abstract
Land subsidence is now recognized as a global challenge, with urban areas being most affected due to human-induced pressures[1]. Excessive groundwater use, mining, and urban expansion accelerate ground settlement by stressing the subsurface. The outcomes are extensive, ranging from damaged infrastructure and increased flooding to declining agricultural output and lasting socio-economic strain. Addressing these problems calls for monitoring methods that are capable of recording small ground shifts over wide areas with accuracy[2]. Recent progress shows that combining Geographic Information Systems (GIS) with remote sensing technologies can significantly improve the monitoring and management of subsidence. Methods such as Interferometric Synthetic Aperture Radar (InSAR), Global Navigation Satellite Systems (GNSS), and Light Detection and Ranging (LiDAR) offer precise measurements of ground deformation. When integrated within GIS platforms, these datasets provide spatial models that improve hazard assessment, risk prediction, and planning for urban resilience. Nevertheless, ensuring data uniformity, effectively combining multi-source information, and handling the computational load of extensive analyses remain critical challenges. This review emphasizes the need for collaborative and sustainable approaches to strengthen monitoring frameworks and improve adaptive strategies for urban areas exposed to subsidence.
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