29 citations as recorded by crossref.

1. Displacement monitoring for slope stability evaluation based on binocular vision systems S. Zhao et al. 10.1016/j.ijleo.2018.06.097
2. Use of a GPS-Derived Troposphere Model to Improve InSAR Deformation Estimates in the San Gabriel Valley, California N. Houlie et al. 10.1109/TGRS.2016.2561971
3. Review on the Geophysical and UAV-Based Methods Applied to Landslides Y. Hussain et al. 10.3390/rs14184564
4. A case study on geotechnical asset remote monitoring in Network Rail D. Abrams & M. Brown 10.1680/jtran.16.00157
5. Sentinel-1 SAR Amplitude Imagery for Rapid Landslide Detection A. Mondini et al. 10.3390/rs11070760
6. Modeling landslide susceptibility in Greece: a weighted linear combination approach using analytic hierarchical process, validated with spatial and statistical analysis G. Sakkas et al. 10.1007/s11069-016-2523-6
7. Deformation Monitoring in an Alpine Mining Area in the Tianshan Mountains Based on SBAS‐InSAR Technology Q. Du et al. 10.1155/2021/9988017
8. Tracking the Seismic Deformation of Himalayan Glaciers Using Synthetic Aperture Radar Interferometry S. Mondal et al. 10.3390/rs17050911
9. Dendrochronological dating as the basis for developing a landslide hazard map – An example from the Western Carpathians, Poland K. Łuszczyńska et al. 10.1515/geochr-2015-0093
10. Assessment of the ASAR and PALSAR Sensors Applicability for Detecting and Monitoring of Landslides in the Zagros Area (Iran) Through Differential Synthetic Aperture Radar Interferometry (DInSAR) K. Shirani & M. Pasandi 10.1007/s10706-022-02291-7
11. Integration of ground-based and space-borne radar observations for three-dimensional deformations reconstruction: application to Luanchuan mining area, China Z. Wang et al. 10.1080/19475705.2022.2134828
12. Landslide observation and volume estimation in central Georgia based on L-band InSAR E. Nikolaeva et al. 10.5194/nhess-14-675-2014
13. Surface Motion Prediction and Mapping for Road Infrastructures Management by PS-InSAR Measurements and Machine Learning Algorithms N. Fiorentini et al. 10.3390/rs12233976
14. ADTC-InSAR: a tropospheric correction database for Andean volcanoes F. Lopez-Pozo et al. 10.1038/s41597-022-01630-w
15. InSAR surface deformation and numeric modeling unravel an active salt diapir in southern Romania V. Manea et al. 10.1038/s41598-021-91517-4
16. Multiple remote-sensing assessment of the catastrophic collapse in Langtang Valley induced by the 2015 Gorkha earthquake H. Nagai et al. 10.5194/nhess-17-1907-2017
17. Supervised Method of Landslide Inventory Using Panchromatic SPOT5 Images and Application to the Earthquake-Triggered Landslides of Pisco (Peru, 2007, Mw8.0) P. Lacroix et al. 10.3390/rs5062590
18. UAV monitoring and documentation of a large landslide G. Lindner et al. 10.1007/s12518-015-0165-0
19. The contribution of PSInSAR interferometry to landslide hazard in weak rock-dominated areas S. Oliveira et al. 10.1007/s10346-014-0522-9
20. Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives M. Scaioni et al. 10.3390/rs6109600
21. High Performance Computing in Satellite SAR Interferometry: A Critical Perspective P. Imperatore et al. 10.3390/rs13234756
22. Using stereo aerial photography and satellite InSAR to help assess slope hazards for a hydropower project in mountainous southern Albania G. Hearn & R. Duncumb 10.1144/qjegh2017-100
23. Locating and monitoring of landslides based on small baseline subset interferometric synthetic aperture radar G. Wang et al. 10.1117/1.JRS.13.044528
24. Landslide Susceptibility Mapping for Road Corridors Using Coupled InSAR and GIS Statistical Analysis A. Arsyad & A. Muhiddin 10.1061/NHREFO.NHENG-1499
25. Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview C. van Westen et al. 10.1016/j.enggeo.2008.03.010
26. Field survey of a catastrophic high-speed long-runout landslide in Jichang Town, Shuicheng County, Guizhou, China, on July 23, 2019 W. Zhao et al. 10.1007/s10346-020-01380-z
27. Study of the Automatic Recognition of Landslides by Using InSAR Images and the Improved Mask R-CNN Model in the Eastern Tibet Plateau Y. Liu et al. 10.3390/rs14143362
28. A Semiautomatic Pixel-Object Method for Detecting Landslides Using Multitemporal ALOS-2 Intensity Images B. Adriano et al. 10.3390/rs12030561
29. Satellite remote sensing-based detection of the deformation of a reservoir bank slope in Laxiwa Hydropower Station, China D. Zhang et al. 10.1007/s10346-012-0378-9