ESTIMATION OF SURFACE DEFORMATION DUE TO PASNI EARTHQUAKE USING SAR INTERFEROMETRY

9 citations as recorded by crossref.

1. Assessment of seismic liquefaction hazard and ground response in subduction zone: A 1D non-linear effective stress approach H. Raza & N. Ahmad https://doi.org/10.1088/2631-8695/ad980a
2. Estimation of Co-Seismic Surface Deformation Induced by 24 September 2019 Mirpur, Pakistan Earthquake along an Active Blind Fault Using Sentinel-1 TOPS Interferometry M. Ali et al. https://doi.org/10.3390/rs16081457
3. Deep Learning and Machine Learning Models for Landslide Susceptibility Mapping with Remote Sensing Data M. Hussain et al. https://doi.org/10.3390/rs15194703
4. Non-linear ground deformation detection and monitoring using time series InSAR along the coastal urban areas of Pakistan S. Hussain et al. https://doi.org/10.1007/s11356-024-34545-7
5. Landslide detection and inventory updating using the time-series InSAR approach along the Karakoram Highway, Northern Pakistan S. Hussain et al. https://doi.org/10.1038/s41598-023-34030-0
6. An Integrated InSAR and Structural Investigation of Crustal Deformation from the 2017 Alghur Earthquake X. Fu et al. https://doi.org/10.1007/s41748-026-01152-0
7. Combined analysis of PS-InSAR and hypsometry integral (HI) for comparing seismic vulnerability and assessment of various regions of Pakistan U. Ramzan et al. https://doi.org/10.1038/s41598-022-26159-1
8. Seismic Site Amplification Characteristics of Makran Subduction Zone Using 1D Non-Linear Ground Response Analysis H. Raza et al. https://doi.org/10.3390/app15041775
9. Estimation of surface deformation due to Pasni earthquake using RADAR interferometry M. Ali et al. https://doi.org/10.1080/10106049.2019.1661031