LAMPRE prepares 3D Surface Deformation Models (3DSDMs) exploiting advanced Finite Element Models (FEMs). A FEM is a numerical representation of the stress-strain behaviour of a slope, and can be used to predict the kinematical behaviour of slow moving landslides. To prepare 3DSDMs, LAMPRE combines advanced space-borne DInSAR products, in-situ monitoring data, and geological, geotechnical and groundwater information.
The methods developed by LAMPRE allow preparing 3DSDMs for slow-moving landslides anywhere adequate time-series of surface and sub-surface displacements are available, together with topographic, geological, geotechnical and groundwater information. The methods are applicable to landslides of different sizes, and work best where continuous monitoring devices are available. 3DSDMs prepared by LAMPRE are well suited to predict the temporal evolution of slow-moving landslides in urban and sub-urban areas, and for landslides affecting infrastructures.
LAMPRE can prepare 3DSDMs of slow-moving active landslides in a few weeks, provided that sufficient information of adequate quality is available.
Civil Protection authorities use 3DSDMs to anticipate the behaviour of slow-moving landslides for early warning and improved vulnerability and risk analyses.
Planning & development authorities use 3DSDMs to construct landslide scenarios for improved planning, and to investigate the efficacy of remedial and mitigation measurements.
Transportation authorities & utility managers use 3DSDMs to anticipate the impact of slow-moving landslides on transportation or utility networks.
Agricultural & forest agencies use 3DSDMs to assess the impact of slow-moving landslides on crops and forests.
Scientists use 3DSDMs to understand the kinematics of landslides in a changing climate.
LAMPRE prepares 3DSDMs in a few to several weeks for single slopes or landslides. LAMPRE requires displacement time series of landslides and surface and sub-surface geological, geotechnical and groundwater information. LAMPRE delivers FEM 3DSDMs in the forms of plots, graphs and contour maps.
Tizzani et al. (2010) doi: 10.1029/2010JB007735
Calò et al. (2014) doi:10.1016/j.rse.2013.11.003
Lollino et al. (2014) doi: 10.1080/19648189.2014.985851