21 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. A case study on geotechnical asset remote monitoring in Network Rail D. Abrams & M. Brown 10.1680/jtran.16.00157
4. Sentinel-1 SAR Amplitude Imagery for Rapid Landslide Detection A. Mondini et al. 10.3390/rs11070760
5. 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
6. Deformation Monitoring in an Alpine Mining Area in the Tianshan Mountains Based on SBAS-InSAR Technology Q. Du et al. 10.1155/2021/9988017
7. 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
8. Landslide observation and volume estimation in central Georgia based on L-band InSAR E. Nikolaeva et al. 10.5194/nhess-14-675-2014
9. Surface Motion Prediction and Mapping for Road Infrastructures Management by PS-InSAR Measurements and Machine Learning Algorithms N. Fiorentini et al. 10.3390/rs12233976
10. InSAR surface deformation and numeric modeling unravel an active salt diapir in southern Romania V. Manea et al. 10.1038/s41598-021-91517-4
11. 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
12. 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
13. UAV monitoring and documentation of a large landslide G. Lindner et al. 10.1007/s12518-015-0165-0
14. The contribution of PSInSAR interferometry to landslide hazard in weak rock-dominated areas S. Oliveira et al. 10.1007/s10346-014-0522-9
15. Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives M. Scaioni et al. 10.3390/rs6109600
16. 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
17. Locating and monitoring of landslides based on small baseline subset interferometric synthetic aperture radar G. Wang et al. 10.1117/1.JRS.13.044528
18. Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview C. van Westen et al. 10.1016/j.enggeo.2008.03.010
19. 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
20. A Semiautomatic Pixel-Object Method for Detecting Landslides Using Multitemporal ALOS-2 Intensity Images B. Adriano et al. 10.3390/rs12030561
21. 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