Davide Zizioli

Rainfall-Triggered Shallow Landslides Mapping Through Pleiades Images

This paper presents the analysis of Pleiades images for the detection and the mapping of rainfall-induced shallow landslides in an area located in the Northern Apennines of Italy. The high resolution of the used images allowed to efficiently recognize also the landslides with small size and to quickly create an inventory map of these phenomena. Field investigations carried up for checking the real presence of the mapped landslides showed a good agreement with the detected through Pleiades images landslides, also in terms of appearance and size of these phenomena. For these reasons Pleiades images can be an useful device for identifying landslides events and to create a complete database of susceptible areas.

Developing and testing a data-driven methodology for shallow landslide susceptibility assessment: preliminary results

In this work a data-driven methodology for shallow landslide susceptibility assessment is presented. The procedure is based on the Generalized Additive Model (Hastie and Tibshirani, 1990) and it is developed to be applied in different contexts, using terrain attributes, land use and lithological data. The application of the method in three different contexts in Italy shows the good forecasting capability of the model. The implementation of this method allows for building landslide susceptibility maps, which are a fundamental basis in hazard and risk assessment.

Methods for Shallow Landslides Susceptibility Mapping: An Example in Oltrepo Pavese

The principal aim of this study is to compare different landslide susceptibility zonation models for predicting areas prone to shallow landsliding using both physically distributed landslide models and artificial neural networks. Necessary geotechnical and hydrological parameters were obtained coupling sample laboratory analysis and in situ measures; soil thickness was estimated using an empirical model while distribution of rainfall intensity was analyzed by performing a spatial interpolation. The predictive capabilities of these models were finally evaluated using a threshold-independent quantitative method (the ROC plot).

Evaluation of Pleiades Images for Rainfall-Triggered Shallow Landslides Mapping

Shallow landslides are generally triggered by intense rainfall of short duration. Even though they only involve small portions of hilly and mountainous terrain, they are the cause of widespread damages to people and infrastructure. The identification of shallow landslide-prone areas is, therefore, a necessity, to plan mitigation measures. Stereoscopic analysis of photogrammetric products is generally the most used technique for mapping landslides, especially if combined with intensive field surveys. The new generation of high-resolution satellites presents resolutions ranging from 0.5 to 2 m, offering a baseline for a quick and accurate update of regional inventory maps. In this paper we discuss the application of Pleiades images for rainfall-triggered shallow landslide mapping.

Monitoring and Modelling of Soil–Atmosphere Interaction on a Slope Affected by Shallow Landslides

A long-term field monitoring proves very helpful to understand the effect of climatic variables on the hydrological response of a shallow soil and the role of atmospheric features in the triggering mechanism of rainfall-induced landslides. In this work, field measurements of the soil saturation in a sample slope, coming from 18 months continuous monitoring of soil water content, are presented. The experimental data are compared with the seasonal trends of the soil saturation resulting from the application of a simplified empirical model, based on rainfall and air temperature input data. The performance of the model is evaluated for two different soil depths, in order to establish a future application of this method to predict time trends of the saturation for large scale slope stability analyses.

Rainfall-Induced Landslides: Slope Stability Analysis Through Field Monitoring

Rainfall-induced shallow landslides are hazardous phenomena that could cause several damages to infrastructures and people. To understand the hydrological and mechanical triggering conditions of shallow landslides in an area of Oltrepo Pavese (Northern Apennines, Italy) a field monitoring was conducted. In this work the results of 16 months monitoring are shown, focusing on the hydrological behaviour of the studied materials as function of rainfall and its effect on slope stability.