Whiteley, J.S.; Chambers, J.E.; Uhlemann, S.; Wilkinson, P.B.; Kendall, J.M.. 2019 Geophysical monitoring of moisture‐induced landslides: a review. Reviews of Geophysics, 57 (1). 106-145. 10.1029/2018RG000603
Abstract
Geophysical monitoring of landslides can provide insights into spatial and temporal variations of
subsurface properties associated with slope failure. Recent improvements in equipment, data analysis, and
field operations have led to a significant increase in the use of such techniques in monitoring. Geophysical
methods complement intrusive approaches, which sample only a very small proportion of the subsurface,
and walk-over or remotely sensed data, which principally provide information only at the ground surface. In
particular, recent studies show that advances in geophysical instrumentation, data processing, modeling, and
interpretation in the context of landslide monitoring are significantly improving the characterization of
hillslope hydrology and soil and rock hydrology and strength and their dynamics over time. This review
appraises the state of the art of geophysical monitoring, as applied to moisture-induced landslides. Here we
focus on technical and practical uses of time-lapse methods in geophysics applied to monitoring
moisture-induced landslide. The case studies identified in this review show that several geophysical
techniques are currently used in the monitoring of subsurface landslide processes. These geophysical
contributions to monitoring and predicting the evolution of landslide processes are currently underrealized.
Hence, the further integration of multiple-parametric and geotechnically coupled geophysical monitoring
systems has considerable potential. The complementary nature of certain methods to map the distribution of
subsurface moisture and elastic moduli will greatly increase the predictive and monitoring capacity of early
warning systems in moisture-induced landslide settings.
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Open Access Paper
Whiteley_et_al-2019-Reviews_of_Geophysics.pdf - Published Version
Available under License Creative Commons Attribution 4.0.
Whiteley_et_al-2019-Reviews_of_Geophysics.pdf - Published Version
Available under License Creative Commons Attribution 4.0.
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BGS Programmes 2018 > Engineering Geology & Infrastructure
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