Multisource data integration to investigate one century of evolution for the Agnone landslide (Molise, southern Italy)

Abstract

Landslides are one of the most relevant geohazards worldwide, causing direct and indirect costs and fatalities. Italy is one of the countries most affected by mass movements, and the Molise region, southern Italy, is known to be susceptible to erosional processes and landslides. In January 2003, a landslide in the municipality of Agnone, in the Colle Lapponi-Piano Ovetta (CL-PO) territory, occurred causing substantial damage to both structures and civil infrastructure. To investigate the evolution of the landslide-affected catchment over approximately one century, different data were taken into account: (i) literature information at the beginning of the twentieth century; (ii) historical sets of aerial optical photographs to analyse the geomorphological evolution from 1945 to 2003; (iii) SAR (Synthetic Aperture Radar) data from the ERS1/2, ENVISAT and COSMO-SkyMed satellites to monitor the displacement from 1992 to 2015; (iv) traditional measurements carried out through geological and geomorphological surveys, inclinometers and GPS campaigns to characterize the geological setting of the area; and (v) recent optical photographs of the catchment area to determine the enlargement of the landslide. Using the structure from motion technique, a 3D reconstruction of each set of historical aerial photographs was made to investigate the geomorphological evolution and to trace the boundary of the mass movements. As a result, the combination of multitemporal and multitechnique analysis of the evolution of the CL-PO landslide enabled an assessment of the landslide expansion, which resulted in a maximum length of up to approximately 1500 m. A complete investigation of the past and present deformational sequences of the area was performed to potentially plan further mitigation and prevention strategies to avoid possible reactivations.

Persistent Scatterers continuous streaming for landslide monitoring and mapping: the case of the Tuscany region (Italy)

“…Multi-interferometric approaches have been widely used and validated by geoscientists in different fields of landslide analysis, such as detection and mapping (e.g. Bardi et al 2014;Bianchini et al 2012), characterisation of mechanism Del Soldato et al 2018) and modelling (Berardino et al 2003); through the analysis of deformation time series, it has been used in the identification of velocity changes in landslide evolution (Berti et al 2013, Solari et al 2018a, 2018b and in the a-posteriori prediction of failure time (Intrieri et al 2018;Carlà et al 2017).…”

Identification of Micro-Scale Landforms of Landslides Using Precise Digital Elevation Models

“…Undetected landslides may be considered as elements at risk if they threaten urbanized areas and related infrastructure [1]. Remote sensing techniques are commonly used to detect, map, and monitor slope failures [2][3][4][5][6][7]. However, recognizing micro-scale landforms indicative for slope instabilities as tension cracks, minor scarps, or undulating terrain remains a challenge for field surveys performed by remote sensing technologies, especially when forested and rugged terrains are subjects of field surveys [8].…”

Landslide-Induced Damage Probability Estimation Coupling InSAR and Field Survey Data by Fragility Curves

“…In recent years, landslide monitoring systems shifted from traditional on site instruments (e.g., conventional wire extensometers [17], inclinometers [18], GPS [19], levelling [20,21]) to remote sensing applications, including Light Detection and Ranging (LiDAR) [22,23], Advanced Differential Interferometry Synthetic Aperture Radar (A-DInSAR), Persistent Scatterers Interferometry (PSI) [24][25][26][27][28][29][30] and Small-BAseline Subset (SBAS) [31,32], Ground Based InSAR (GB-InSAR) [33], satellite and aerial imagery investigation [34][35][36], or Unnamed Aerial Vehicle (UAV) surveys e.g., [37][38][39]. Unlike ground-based monitoring systems, Earth-observation techniques allow measuring land motion of wide areas with millimetre to centimetre accuracy with a much higher frequency of acquisition and decreasing costs (with respect to reach similar precision with conventional techniques) [40].…”

“…Since the late 1990s, the development of A-DInSAR approaches and the evolution of SAR (Synthetic Aperture Radar) sensors have permitted the detection and monitoring of ground deformations with millimetre/centimetre precision over wide areas [41,42]. The A-DInSAR approach has been adopted for local and regional applications for the investigation and monitoring of several types of landslides [26,27,43].…”