A fully-automated displacement monitor was then installed to perform monitoring on the landslide mass and its surrounding areas.
This paper deals with the methodology, the techniques and the integrated services adopted for the design and the realization of a web-based platform for automatic and continuous monitoring of the Rotolon landslide.
Simple but reliable manual tape extensometer monitoring of the most dangerous landslide parts will be also established involving also placement of rain gauge station on convenient site near the landslide.
Such being the case, the support of areal observation means is needed for the monitoring of extensive landslide displacement.
At this stage, the professional monitoring and consultation phase of the landslide had begun.
Nevertheless, the 2009 landslide proves it is feasible; therefore, we recommend establishing a long term project of monitoring of this part of the landslide, whose main requirement is a positive approach of the local community and their active involvement in the monitoring.
Displacement monitoring data on the surface of the landslide during loading discloses four main evolutionary stages: the initial stage of deformation, the uniform deformation stage, the accelerating deformation stage, and the damage stage.
Based on the experimental data of mechanical parameters of the landslide and displacement monitoring, a nonlinear mapping relationship between mechanical parameters of the failure mass and the displacement of landslide were established by using genetic algorithms by means of uniform design, numerical calculation and artificial neural networks.
The processing technique can be adapted to better exploit increasingly available time-series from a variety of optical satellites for the detection and monitoring of landslide displacement.
The analysis of the landslide mechanism, of the involved volumes, and of the installed monitoring system will not be discussed in this paper.
