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Abstract
In February 2010 a large landslide affected the Maierato municipality (Calabria, Italy). The landslide, mainly caused by a period of prolonged and intense rainfalls, produced a mass displacement of about 5 million m³ and several damages to farmlands, houses and infrastructures. In the aftermath several conventional monitoring actions were carried out. In the current post emergency phase, the monitoring was resumed by carrying out unmanned aerial vehicles (UAV) flights in order to describe the recent behavior of the landslide and to assess residual risk. Thanks to the potentialities of the structure from motion algorithms and the availability of post emergency reconnaissance photos and a previous 3D dataset, the three-dimensional evolution of the area was computed. Moreover, an experimental multispectral flight was carried out and its results supported the interpretation of local phenomena. The dataset allowed to quantify the elevation losses and raises in several peculiar sectors of the landslide. The obtained results confirm that the UAV monitoring and the structure from motion approach can effectively contribute to manage residual risk in the medium and long term within an integrated geotechnical monitoring network.
Highlights
Landslides are calamitous events that can heavily affect human communities and in the current global change scenario, these outcomes, in the same way as others hazards, can be even worsened [1,2]
After a landslide event the activation of monitoring procedures is mandatory, in order to investigate the kinematic of the occurred phenomenon, to assess the possible triggering factors and to measure the evolution in the post emergency phase with several purposes, such as coordinating the rescue teams and evaluate the recovery actions [5,6,7]
Several authors have proven the feasibility of unmanned aerial vehicles (UAV) landslide monitoring e.g., [29,30] which provides a cheaper, and faster way for surveying of extensive surfaces [32]; which can be effectively integrated with previous conventional monitoring campaigns [33]
Summary
Landslides are calamitous events that can heavily affect human communities and in the current global change scenario, these outcomes, in the same way as others hazards, can be even worsened [1,2]. Several authors have proven the feasibility of UAV landslide monitoring e.g., [29,30] which provides a cheaper, and faster way for surveying of extensive surfaces [32]; which can be effectively integrated with previous conventional monitoring campaigns [33]. During the landslide paroxysmal phase, a significant portion of the Calcare di Base Formation, close to the failure surface, collapsed so changing its mechanical characteristics and assuming a viscous fluid behavior (Figure 1B) This destructured and fluidized limestone allowed a rafting of large rocky blocks without severe disturbance [35]. FigFuigruer1e.1L. oLcoactaiotinon(A(A) )ananddppaannoorraammicicvviieeww ((BB)) ooff MMaaiieerraattoollaannddsslildideeoocccucurrrerdedonon151F5eFberburauryar2y0120010 (he(hliecloicpotpertepr hpohtoototatkakenenoonn1166FFeebbrruuaarryy 22001100,, bbyy GG..GG..))
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