Assessing the Impact of Urban Development on Vertical Ground Deformation Using Satellite-Based Remote Sensing Techniques

Urban subsidence, a complex phenomenon causing widespread ground settlement, poses a significant challenge to urban resilience, an issue central to the Sustainable Development Goal (SDG) 11. While prior studies have investigated multiple subsidence drivers, the long-term influence of urban development patterns and subsurface conditions has remained insufficiently understood. This study proposes a robust methodology to dynamically assess subsidence trends in relation to evolving urban development. Using Sentinel-1A InSAR datasets validated by geodetic leveling observations, we analyze urban subsidence over a decade (2014-2024). By integrating urban development patterns with a 3D city model, we evaluate subsurface pressure and building density. A two-step approach was applied to detect the evolution of vertical subsidence alongside ongoing construction activities. When tested in Taipei City, the framework reveals a strong correlation between intensified urban construction, high building density, and soft soil conditions. The city is subsiding at an average rate of -5 mm/year, with localized zones experiencing rates as high as -11 mm/year. Quantitative validation against leveling observations showed a strong correlation (ρ ≈ 0.8) and an NRMSE of 0.66 mm/year, confirming the robustness of the estimated deformation rates. Despite variations in building weight density, subsidence remains relatively uniform, with rates nearly doubling in dense building clusters since 2018. These results emphasize that subsurface deformation progresses with increased development intensity, highlighting the importance of adopting this scalable approach to inform sustainable urban planning and infrastructure resilience globally.

Authors

Institutions

Publication Details

Journal
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Published
2025-01-01
DOI
https://doi.org/10.1109/jstars.2025.3630608
Primary Topic
Synthetic Aperture Radar (SAR) Applications and Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing the Impact of Urban Development on Vertical Ground Deformation Using Satellite-Based Remote Sensing Techniques

Jen-Yu Han, Ya-Lun S. Tsai, Ajay Saraswat
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Synthetic Aperture Radar (SAR) Applications and Techniques
article

Assessing the Impact of Urban Development on Vertical Ground Deformation Using Satellite-Based Remote Sensing Techniques

Jen-Yu Han, Ya-Lun S. Tsai, Ajay Saraswat
article en

Abstract

Urban subsidence, a complex phenomenon causing widespread ground settlement, poses a significant challenge to urban resilience, an issue central to the Sustainable Development Goal (SDG) 11. While prior studies have investigated multiple subsidence drivers, the long-term influence of urban development patterns and subsurface conditions has remained insufficiently understood. This study proposes a robust methodology to dynamically assess subsidence trends in relation to evolving urban development. Using Sentinel-1A InSAR datasets validated by geodetic leveling observations, we analyze urban subsidence over a decade (2014-2024). By integrating urban development patterns with a 3D city model, we evaluate subsurface pressure and building density. A two-step approach was applied to detect the evolution of vertical subsidence alongside ongoing construction activities. When tested in Taipei City, the framework reveals a strong correlation between intensified urban construction, high building density, and soft soil conditions. The city is subsiding at an average rate of -5 mm/year, with localized zones experiencing rates as high as -11 mm/year. Quantitative validation against leveling observations showed a strong correlation (ρ ≈ 0.8) and an NRMSE of 0.66 mm/year, confirming the robustness of the estimated deformation rates. Despite variations in building weight density, subsidence remains relatively uniform, with rates nearly doubling in dense building clusters since 2018. These results emphasize that subsurface deformation progresses with increased development intensity, highlighting the importance of adopting this scalable approach to inform sustainable urban planning and infrastructure resilience globally.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingVol. 18
National Taiwan University (TW)
Openalex Percentile: Top 55%
Synthetic Aperture Radar (SAR) Applications and Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Assessing the Impact of Urban Development on Vertical Ground Deformation Using Satellite-Based Remote Sensing Techniques — Jen-Yu Han, Ya-Lun S. Tsai, et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2025) | TGRS Research Map | TGRS