BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.osgeo.org//foss4g-it-2026//speaker//XVUJAB BEGIN:VTIMEZONE TZID:CET BEGIN:STANDARD DTSTART:20001029T040000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET TZOFFSETFROM:+0200 TZOFFSETTO:+0100 END:STANDARD BEGIN:DAYLIGHT DTSTART:20000326T030000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST TZOFFSETFROM:+0100 TZOFFSETTO:+0200 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-foss4g-it-2026-YBKDAB@talks.osgeo.org DTSTART;TZID=CET:20260710T143000 DTEND;TZID=CET:20260710T145000 DESCRIPTION:The high susceptibility to landslides of the Italian territory represents a significant risk factor for many infrastructures\, especially bridges and viaducts. Landslides can be fatal for existing bridges and vi aducts even when they are properly designed\, built\, and maintained\, sin ce the landslide-induced stresses can overcome the structural resources of such infrastructures.\nIn 2020\, the Italian Ministry of Infrastructure i ntroduced the "Guidelines for Risk Classification and Management\, Safety Assessment\, and Monitoring of Existing Bridges"\, which require the asses sment of the Attention Class (also determined by landslide risk) of each b ridge according to a multi-risk and multi-level procedure\, with the aim o f optimizing the resources allocated to infrastructure maintenance\, based on the identified risk conditions. Therefore\, a good understanding of th e stability conditions of the slopes around a bridge is essential for anal yzing possible landslide-bridge interactions.\nThe most frequent landslide s in Italy are rain-induced\, so it is very useful to zone the susceptibil ity of the territory to such instabilities. In assessing rain-induced shal low landslides susceptibility\, Surface Soil Moisture (SSM) estimate is cr ucial\, since this type of instability\, which typically affects the slope in the first 2-3 m depth\, often occurs in unsaturated soil conditions\, frequently even in the days following rainfall\, as a result of the propag ation of the saturation front.\nIn this scenario\, an innovative monitorin g system for the SSM\, integrating direct and remote sensing techniques\, has been installed in San Carlo di Cese (Liguria\, Italy)\, in the context of Mind The Bridge (MTB) Project\, co-financed by the Liguria Regional FE SR Program 2021-2027.\nWithin the LAMP (Landslide Monitoring and Predictin g) System\, in its modelling component dedicated to shallow landslides Soi l Apparent Cohesion (SAC)\, the obtained SSM maps are the main input of a physically based 3D model implemented in QGIS for slope stability assessme nt\, together with a Digital Terrain Model and geotechnical parameters. Ty pically\, the analysis can be conducted over a large area (several km²) a t 10 m spatial resolution in a short computational time. LAMP System proce ssing procedures are available at github.com/LabGeomatica. At the San Carl o di Cese site\, the area under consideration is the one interacting with a bridge.\nSoil moisture is directly measured using low-cost capacitive se nsors placed in the soil at different depths. In addition\, the correlatio n between the reflectance of the examined surfaces and soil moisture allow s the monitoring of the spatial and temporal variations of the latter vari able\, mapped using Sentinel-2 Multispectral images\, obtained using both the Copernicus Data Space Ecosystem Portal and SADASADAM (SAme DAy SAtelli te DAta Mosaics)\, a Python-based command line tool that automates the cre ation of atmosphere-corrected and cloud-free mosaics from Sentinel-2 scene s. Sentinel-2 images provide several bands (Red Edge\, Broad Near Infrared \, and Near Infrared) particularly suitable for the estimate of vegetation conditions\, which are an indirect indicator of SSM. The obtained maps pr ovide an estimate of SSM on natural slopes strictly referring to the first 10 cm of depth. However\, this estimate can be extended to a depth of 40 cm\, based on direct measurements obtained by the soil moisture sensors po sitioned at that depth.\nSSM maps are realized according to a land cover s pecific (woods) Reflectance-Soil Moisture correlation developed on Mendati ca (Liguria\, Italy)\, a site prone to landslides selected within the Alco tra Project AD-VITAM (Analysis of the Vulnerability of the Mediterranean A lpine Territories to natural risks)\, assuming the characteristics of the area to be similar to San Carlo di Cese. The assumption was supported by t he fact that the study site has a high prevalence of wooded areas and then positively verified by comparing satellite estimates with direct soil moi sture measurements. The analogy with Mendatica in regards of soil characte ristics was also exploited for the calibration of sensors in the field.\nB oth SSM and slope stability maps of the study area have been made availabl e as a Web Map Service through a QGIS server. Currently\, the available ma ps refer to October-December 2025 and are being updated. Through the WMS\, territorial analysis concerning slope instability are included into the d igital twin of the bridge\, together with data acquired by the sensors ins talled on the bridge itself.\nSince LAMP may allow for a dynamic analysis of the territorial susceptibility to landslides\, its use could have conse quent benefits in the protection of bridges and viaducts interacting with potential rain-induced shallow landslides\, which represent the majority o f Italian landslides. DTSTAMP:20260614T155018Z LOCATION:Aula accademica SUMMARY:Open Source Dynamic Mapping of Slope Susceptibility to Shallow Land slides Potentially Interacting With Bridges and Viaducts by Ground-based a nd Remote Sensing Monitoring. - Alessandro Iacopino URL:https://talks.osgeo.org/foss4g-it-2026/talk/YBKDAB/ END:VEVENT END:VCALENDAR