Articles | Volume 21, issue 12 
            
                
                    
            
            
            https://doi.org/10.5194/nhess-21-3863-2021
                    © Author(s) 2021. This work is distributed under 
the Creative Commons Attribution 4.0 License.
                the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-3863-2021
                    © Author(s) 2021. This work is distributed under 
the Creative Commons Attribution 4.0 License.
                the Creative Commons Attribution 4.0 License.
Brief communication: The role of geophysical imaging in local landslide early warning systems
                                            Shallow Geohazards and Earth Observation, British Geological Survey,
Environmental Science Centre, Nicker Hill, Nottingham, NG12 5GG, United
Kingdom
                                        
                                    
                                            School of Earth Sciences, University of Bristol, Wills Memorial
Building, Queens Road, Bristol, BS8 1RJ, United Kingdom
                                        
                                    Arnaud Watlet
                                            Shallow Geohazards and Earth Observation, British Geological Survey,
Environmental Science Centre, Nicker Hill, Nottingham, NG12 5GG, United
Kingdom
                                        
                                    J. Michael Kendall
                                            Department of Earth Sciences, University of Oxford, South Parks Road,
Oxford, OX1 3AN, United Kingdom
                                        
                                    Jonathan E. Chambers
                                            Shallow Geohazards and Earth Observation, British Geological Survey,
Environmental Science Centre, Nicker Hill, Nottingham, NG12 5GG, United
Kingdom
                                        
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                            Cited
16 citations as recorded by crossref.
- Forward Modeling Simulations to Validate Changes in Electrical Resistivity Tomography Monitoring Data for a Slope with Complex Geology A. Hojat et al. 10.3390/geosciences15010033
 - Quantification of soil textural and hydraulic properties in a complex conductivity imaging framework: Results from the Wolfsegg slope J. Gallistl et al. 10.3389/feart.2022.911611
 - Sustainable Management of Landslides in Ecuador: Leveraging Geophysical Surveys for Effective Risk Reduction O. Alonso-Pandavenes et al. 10.3390/su162410797
 - Near-real-time seismic monitoring improves deep-seated landslides early warning, Jiuxianping, China L. Feng et al. 10.1016/j.enggeo.2025.108231
 - Long-term geoelectrical monitoring of landslides in natural and engineered slopes J. Chambers et al. 10.1190/tle41110768.1
 - Landslide assessment through integrated geoelectrical and seismic methods: A case study in Thungsong site, southern Thailand C. Sujitapan et al. 10.1016/j.heliyon.2024.e24660
 - Integrating Knowledge Graph and Machine Learning Methods for Landslide Susceptibility Assessment Q. Wu et al. 10.3390/rs16132399
 - Precision Solution of the VES Inverse Problem for Experimental Data of Long-Term Monitoring of the Earth’s Crust A. Bobachev et al. 10.3103/S0747923922080175
 - Four years of landslide observation with anthropogenic loading as an additional trigger - Analysis of seasonal and annual variability of physical parameters A. Marciniak et al. 10.1016/j.enggeo.2024.107761
 - Assessing the risk of slope failure to highway infrastructure using automated time-lapse electrical resistivity tomography monitoring J. Whiteley et al. 10.1016/j.trgeo.2023.101129
 - The Contribution of Digital Image Correlation for the Knowledge, Control and Emergency Monitoring of Earth Flows D. Mazza et al. 10.3390/geosciences13120364
 - InSAR Integrated Machine Learning Approach for Landslide Susceptibility Mapping in California D. Vaka et al. 10.3390/rs16193574
 - Response to soil compaction of the electrical resistivity tomography, induced polarisation, and electromagnetic induction methods: a case study in Belgium D. Mansourian et al. 10.1071/SR22260
 - Geophysical Survey and Monitoring of Transportation Infrastructure Slopes (TISs): A Review Z. Maleki et al. 10.3390/geosciences15060220
 - High-resolution geophysical monitoring of moisture accumulation preceding slope movement—a path to improved early warning A. Watlet et al. 10.1088/1748-9326/ad8fbe
 - 4D electrical resistivity to monitor unstable slopes in mountainous tropical regions: an example from Munnar, India A. Watlet et al. 10.1007/s10346-023-02029-3
 
15 citations as recorded by crossref.
- Forward Modeling Simulations to Validate Changes in Electrical Resistivity Tomography Monitoring Data for a Slope with Complex Geology A. Hojat et al. 10.3390/geosciences15010033
 - Quantification of soil textural and hydraulic properties in a complex conductivity imaging framework: Results from the Wolfsegg slope J. Gallistl et al. 10.3389/feart.2022.911611
 - Sustainable Management of Landslides in Ecuador: Leveraging Geophysical Surveys for Effective Risk Reduction O. Alonso-Pandavenes et al. 10.3390/su162410797
 - Near-real-time seismic monitoring improves deep-seated landslides early warning, Jiuxianping, China L. Feng et al. 10.1016/j.enggeo.2025.108231
 - Long-term geoelectrical monitoring of landslides in natural and engineered slopes J. Chambers et al. 10.1190/tle41110768.1
 - Landslide assessment through integrated geoelectrical and seismic methods: A case study in Thungsong site, southern Thailand C. Sujitapan et al. 10.1016/j.heliyon.2024.e24660
 - Integrating Knowledge Graph and Machine Learning Methods for Landslide Susceptibility Assessment Q. Wu et al. 10.3390/rs16132399
 - Precision Solution of the VES Inverse Problem for Experimental Data of Long-Term Monitoring of the Earth’s Crust A. Bobachev et al. 10.3103/S0747923922080175
 - Four years of landslide observation with anthropogenic loading as an additional trigger - Analysis of seasonal and annual variability of physical parameters A. Marciniak et al. 10.1016/j.enggeo.2024.107761
 - Assessing the risk of slope failure to highway infrastructure using automated time-lapse electrical resistivity tomography monitoring J. Whiteley et al. 10.1016/j.trgeo.2023.101129
 - The Contribution of Digital Image Correlation for the Knowledge, Control and Emergency Monitoring of Earth Flows D. Mazza et al. 10.3390/geosciences13120364
 - InSAR Integrated Machine Learning Approach for Landslide Susceptibility Mapping in California D. Vaka et al. 10.3390/rs16193574
 - Response to soil compaction of the electrical resistivity tomography, induced polarisation, and electromagnetic induction methods: a case study in Belgium D. Mansourian et al. 10.1071/SR22260
 - Geophysical Survey and Monitoring of Transportation Infrastructure Slopes (TISs): A Review Z. Maleki et al. 10.3390/geosciences15060220
 - High-resolution geophysical monitoring of moisture accumulation preceding slope movement—a path to improved early warning A. Watlet et al. 10.1088/1748-9326/ad8fbe
 
Latest update: 03 Nov 2025
Short summary
                    This work summarises the contribution of geophysical imaging methods to establishing and operating local landslide early warning systems, demonstrated through a conceptual framework. We identify developments in geophysical monitoring equipment, the spatiotemporal resolutions of these approaches and methods to translate geophysical to geotechnical information as the primary benefits that geophysics brings to slope-scale early warning.
                    This work summarises the contribution of geophysical imaging methods to establishing and...
                    
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