21 citations as recorded by crossref.

1. Geohazard assessment of Mexico City’s Metro system derived from SAR interferometry observations D. Solano-Rojas et al. 10.1038/s41598-024-53525-y
2. Hydro-Stratigraphic Conditions and Human Activity Leading to Development of a Sinkhole Cluster in a Mediterranean Water Ecosystem S. Margiotta et al. 10.3390/hydrology8030111
3. Studying subsidence in urban areas and its effect on transportation infrastructure using the method based on Persistent Scatterer. M. Arjmandrad et al. 10.52547/jgst.12.3.113
4. Analysis of the Deformation Behavior and Sinkhole Risk in Kerdabad, Iran Using the PS-InSAR Method M. Khoshlahjeh Azar et al. 10.3390/rs13142696
5. Non-Invasive Methodological Approach to Detect and Characterize High-Risk Sinkholes in Urban Cover Evaporite Karst: Integrated Reflection Seismics, PS-InSAR, Leveling, 3D-GPR and Ancillary Data. A NE Italian Case Study A. Busetti et al. 10.3390/rs12223814
6. Surface Motion Prediction and Mapping for Road Infrastructures Management by PS-InSAR Measurements and Machine Learning Algorithms N. Fiorentini et al. 10.3390/rs12233976
7. The Use of Earth Observation Data for Railway Infrastructure Monitoring—A Review M. Banic et al. 10.3390/infrastructures10030066
8. Multi- and inter-disciplinary approaches towards understanding the sinkholes’ phenomenon in the Dead Sea Basin H. Salem 10.1007/s42452-020-2146-0
9. Evaluation of the SBAS InSAR Service of the European Space Agency’s Geohazard Exploitation Platform (GEP) J. Galve et al. 10.3390/rs9121291
10. Can Machine Learning and PS-InSAR Reliably Stand in for Road Profilometric Surveys? N. Fiorentini et al. 10.3390/s21103377
11. The Role of Earth Observation, with a Focus on SAR Interferometry, for Sinkhole Hazard Assessment A. Theron & J. Engelbrecht 10.3390/rs10101506
12. Natural Sinkhole Monitoring and Characterization: The Case of Latera Sinkhole (Latium, Central Italy) L. Puzzilli et al. 10.3390/geosciences14010018
13. A catenary model for the analysis of arching effect in soils and its application to predicting sinkhole collapse J. Alonso et al. 10.1680/jgeot.20.P.235
14. Dynamic response and macro-micro characteristics of red soil in shallow karst collapse area along the railway H. Shi et al. 10.1007/s10064-024-04066-1
15. DInSAR data assimilation for settlement prediction: case study of a railway embankment in the Netherlands D. Peduto et al. 10.1139/cgj-2016-0425
16. Characterizing and monitoring a high-risk sinkhole in an urban area underlain by salt through non-invasive methods: Detailed mapping, high-precision leveling and GPR J. Sevil et al. 10.1016/j.enggeo.2020.105641
17. Evolution of surface deformation related to salt-extraction-caused sinkholes in Solotvyno (Ukraine) revealed by Sentinel-1 radar interferometry E. Szűcs et al. 10.5194/nhess-21-977-2021
18. Multi-Temporal Satellite Interferometry for Fast-Motion Detection: An Application to Salt Solution Mining L. Solari et al. 10.3390/rs12233919
19. Earthquake-induced landslide monitoring and survey by means of InSAR T. Smail et al. 10.5194/nhess-22-1609-2022
20. Rapid subsidence in damaging sinkholes: Measurement by high-precision leveling and the role of salt dissolution G. Desir et al. 10.1016/j.geomorph.2017.12.004
21. Paleoflood records from sinkholes using an example from the Ebro River floodplain, northeastern Spain F. Gutiérrez et al. 10.1017/qua.2017.23