62 citations as recorded by crossref.

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6. Risk Assessment of Multi-Hazards in Hangzhou: A Socioeconomic and Risk Mapping Approach Using the CatBoost-SHAP Model B. Yu et al. https://doi.org/10.1007/s13753-024-00578-2
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8. Evaluation of Geo-Environment Carrying Capacity Based on Intuitionistic Fuzzy TOPSIS Method: A Case Study of China Y. Wang et al. https://doi.org/10.3390/su15108121
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14. Influence of Coal Mining on Historical Buildings: Case Study in Shanxi Y. Sun et al. https://doi.org/10.3390/ijerph20021543
15. A Study of Ground Movements in Brussels (Belgium) Monitored by Persistent Scatterer Interferometry over a 25-Year Period P. Declercq et al. https://doi.org/10.3390/geosciences7040115
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17. Coupling coordination and spatiotemporal dynamic evolution between urbanization and geological hazards–A case study from China Z. Zhang & Y. Li https://doi.org/10.1016/j.scitotenv.2020.138825
18. Enhancing InSAR Tropospheric Delay Correction by Combining Phase-Elevation Correlation and Common-Scene Stacking: Validation and Application to Southern California Y. Luo et al. https://doi.org/10.1109/JSTARS.2026.3715889
19. Detailed Health Monitoring of Large-Scale Urban Infrastructure by Combining Optical and SAR Images Y. He et al. https://doi.org/10.1109/JSTARS.2025.3592033
20. Monitoring and Comparative Analysis of Hohhot Subway Subsidence Using StaMPS-PS Based on Two DEMS S. Zhao et al. https://doi.org/10.3390/rs15164011
21. Monitoring subway construction using Sentinel-1 data: a case study in Bucharest, Romania M. Gheorghe et al. https://doi.org/10.1080/01431161.2019.1694723
22. Accelerated Movements of Xiaomojiu Landslide Observed with SBAS-InSAR and Three-Dimensional Measurements, Upper Jinsha River, Eastern Tibet X. Liu et al. https://doi.org/10.3390/app12199758
23. Integrating multidisciplinary approach to decipher the peculier incidence of burst of new water source and perpetual problem of ground subsidence in Joshimath, Uttarakhand H. Bahuguna et al. https://doi.org/10.1007/s11069-025-07737-8
24. Towards a PS-InSAR Based Prediction Model for Building Collapse: Spatiotemporal Patterns of Vertical Surface Motion in Collapsed Building Areas—Case Study of Alexandria, Egypt B. Mohamadi et al. https://doi.org/10.3390/rs12203307
25. Time-Series Monitoring and Mechanism Analysis of Surface Subsidence in Changchun City Using E-PS-InSAR Y. Liu et al. https://doi.org/10.3390/rs18030530
26. Study on the Combined Mining Scheme for Coal Resources under High-Voltage Pylons and the Reinforcement for Pylons H. Liu et al. https://doi.org/10.3390/en15113978
27. Large-Scale Surface Deformation Monitoring Using SBAS-InSAR and Intelligent Prediction in Typical Cities of Yangtze River Delta R. Wang et al. https://doi.org/10.3390/rs15204942
28. Investigating mining-induced surface subsidence and potential damages based on SBAS-InSAR monitoring and GIS techniques: a case study Z. Liu et al. https://doi.org/10.1007/s12665-021-09726-z
29. Observation of Surface Displacement Associated with Rapid Urbanization and Land Creation in Lanzhou, Loess Plateau of China with Sentinel-1 SAR Imagery Y. Wei et al. https://doi.org/10.3390/rs13173472
30. Comprehensive database of land subsidence in 143 major coastal cities around the world: overview of issues, causes, and future challenges L. Pedretti et al. https://doi.org/10.3389/feart.2024.1351581
31. Ground subsidence monitoring in India using InSAR: A review of current status and future prospects A. Gogoi et al. https://doi.org/10.1016/j.geogeo.2025.100436
32. Investigation of land subsidence in Guangdong Province, China, using PS-InSAR technique L. Huang et al. https://doi.org/10.1016/j.asr.2024.12.034
33. The Influence of Groundwater Management on Land Subsidence Patterns in the Metropolitan Region of Guatemala City: A Multi-Temporal InSAR Analysis C. García-Lanchares et al. https://doi.org/10.3390/rs17091496
34. Semi-automated extraction of Deviation Indexes (DI) from satellite Persistent Scatterers time series: tests on sedimentary volcanism and tectonically-induced motions F. Cigna et al. https://doi.org/10.5194/npg-19-643-2012
35. Monitoring land subsidence in Yangon, Myanmar using Sentinel-1 persistent scatterer interferometry and assessment of driving mechanisms T. van der Horst et al. https://doi.org/10.1016/j.rse.2018.08.004
36. Projections of declining fluvial sediment delivery to major deltas worldwide in response to climate change and anthropogenic stress F. Dunn et al. https://doi.org/10.1088/1748-9326/ab304e
37. Surface deformation evolution in the Pearl River Delta between 2006 and 2011 derived from the ALOS1/PALSAR images G. Li et al. https://doi.org/10.1186/s40623-020-01310-2
38. Integrating TS-InSAR and machine learning for spatiotemporal analysis and influencing factors identification of land subsidence in Nansha, Guangzhou, China Q. He et al. https://doi.org/10.3389/feart.2026.1752849
39. Study on Subsidence Characteristics and Influencing Factors in the Haikou–Laocheng Area Based on Time-Series InSAR Y. Li et al. https://doi.org/10.3390/buildings16102004
40. Surface Deformation Monitoring in Zhengzhou City from 2014 to 2016 Using Time-Series InSAR Z. Zhang et al. https://doi.org/10.3390/rs10111731
41. Toward Smart Urban Management: Integrating Geographic Information Systems and Geology for Underground Bearing Capacity Prediction in Casablanca City, Morocco I. Loukili et al. https://doi.org/10.3390/land13111826
42. Remote Sensing of Groundwater: Current Capabilities and Future Directions K. Adams et al. https://doi.org/10.1029/2022WR032219
43. Study on adverse effects of groundwater level rising induced by land creation engineering in hilly and gully area of the Loess Plateau X. Duan et al. https://doi.org/10.1007/s11629-019-5549-x
44. InSAR Reveals Land Deformation at Guangzhou and Foshan, China between 2011 and 2017 with COSMO-SkyMed Data A. Ng et al. https://doi.org/10.3390/rs10060813
45. Land subsidence modeling and assessment in the West Pearl River Delta from combined InSAR time series, land use and geological data Z. Liu et al. https://doi.org/10.1016/j.jag.2023.103228
46. Zero-shot detection for InSAR-based land displacement by the deformation-prompt-based SAM method Y. He et al. https://doi.org/10.1016/j.jag.2025.104407
47. A Procedure to Map Subsidence at the Regional Scale Using the Persistent Scatterer Interferometry (PSI) Technique A. Rosi et al. https://doi.org/10.3390/rs61110510
48. Monitoring Subsidence Deformation of Suzhou Subway Using InSAR Timeseries Analysis X. Xu et al. https://doi.org/10.1109/ACCESS.2020.3047574
49. Using InSAR Time Series to Monitor Surface Fractures and Fissures in the Al-Yutamah Valley, Western Arabia T. Aldaajani et al. https://doi.org/10.3390/rs14081769
50. Review of satellite radar interferometry for subsidence analysis F. Raspini et al. https://doi.org/10.1016/j.earscirev.2022.104239
51. Resolving Surface Displacements in Shenzhen of China from Time Series InSAR P. Liu et al. https://doi.org/10.3390/rs10071162
52. Monitoring and Analysis of Land Subsidence Along Beijing-Tianjin Inter-City Railway D. GuangYao et al. https://doi.org/10.1007/s12524-016-0556-7
53. Assessing land subsidence from anthropogenic activity in Northern Sumatra, Indonesia revealed using SAR interferometry R. Perdana et al. https://doi.org/10.15243/jdmlm.2025.122.7235
54. Two-Dimensional Ground Deformation Monitoring in Shanghai Based on SBAS and MSBAS InSAR Methods S. Dong et al. https://doi.org/10.1007/s12583-017-0955-x
55. Detection of Land Subsidence Associated with Land Creation and Rapid Urbanization in the Chinese Loess Plateau Using Time Series InSAR: A Case Study of Lanzhou New District G. Chen et al. https://doi.org/10.3390/rs10020270
56. Assessment of Active Ground Subsidence in the Dibrugarh and Digboi Areas of Assam, Northeast India, Using the PSInSAR Technique A. Lakhote et al. https://doi.org/10.3390/rs15204963
57. Stepwise estimation of height change time series and two-dimensional surface deformation over mountain excavation and City construction region with TS-InSAR technique G. Li et al. https://doi.org/10.1016/j.jag.2024.103982
58. Differential Radar Interferometry for Structural and Ground Deformation Monitoring: A New Tool for the Conservation and Sustainability of Cultural Heritage Sites W. Zhou et al. https://doi.org/10.3390/su7021712
59. Geotechnical characteristics of weathered granitic gneiss with geo-hazards investigation of pit excavation in Guangzhou, China M. Chen et al. https://doi.org/10.1007/s10064-016-0915-1
60. Surface deformation detected by ALOS PALSAR small baseline SAR interferometry over permafrost environment of Beiluhe section, Tibet Plateau, China F. Chen et al. https://doi.org/10.1016/j.rse.2013.07.006
61. Slope Superficial Displacement Monitoring by Small Baseline SAR Interferometry Using Data from L-band ALOS PALSAR and X-band TerraSAR: A Case Study of Hong Kong, China F. Chen et al. https://doi.org/10.3390/rs6021564
62. Detailed hazard identification of urban subsidence in Guangzhou and Foshan by combining InSAR and optical imagery Y. He et al. https://doi.org/10.1016/j.jag.2024.104291