LAND SUBSIDENCE MONITORING USING PS-InSAR TECHNIQUE FOR L-BAND SAR DATA

12 citations as recorded by crossref.

1. Assessing the Impacts of Groundwater Depletion and Aquifer Degradation on Land Subsidence in Lahore, Pakistan: A PS-InSAR Approach for Sustainable Urban Development M. Sajjad et al. https://doi.org/10.3390/rs15225418
2. Mapping Surface Deformation in Rwanda and Neighboring Areas Using SBAS-InSAR A. Mugabushaka et al. https://doi.org/10.3390/rs16234456
3. Land subsidence mapping and monitoring using modified persistent scatterer interferometric synthetic aperture radar in Jharia Coalfield, India S. Kumar et al. https://doi.org/10.1007/s12040-020-01413-0
4. Land deformation monitoring in the Taiyuan area based on PS-InSAR Y. Yang et al. https://doi.org/10.1007/s10661-022-10311-5
5. Assessing Land Subsidence-Inducing Factors in the Shandong Province, China, by Using PS-InSAR Measurements F. Li et al. https://doi.org/10.3390/rs14122875
6. A deep learning-based method for automated and continuous detection of wide-area land subsidence Q. Tao et al. https://doi.org/10.1007/s12040-025-02720-0
7. Studying subsidence in urban areas and its effect on transportation infrastructure using the method based on Persistent Scatterer. M. Arjmandrad et al. https://doi.org/10.52547/jgst.12.3.113
8. Land subsidence prediction model based on its influencing factors and machine learning methods F. Li et al. https://doi.org/10.1007/s11069-022-05796-9
9. A review on surface deformation evaluation using multitemporal SAR interferometry techniques M. Besoya et al. https://doi.org/10.1007/s41324-020-00344-8
10. Monitoring of Subsidence Over a Continuous Miner-Based Coal Mine Caving Panels Using PS-InSAR Technique J. Anil et al. https://doi.org/10.1007/s42461-023-00744-y
11. Analysis of the Role of Environmental Factors in the Occurrence of Land Subsidence of Kamyaran Plain in Western Iran S. Hosseini et al. https://doi.org/10.1007/s40098-025-01366-5
12. Monitoring land subsidence in an urban area of Tamilnadu, India using SAR time series data K. Rawat https://doi.org/10.15446/esrj.v29n1.110897