Hydro-mechanical characterisation and monitoring through conventional and satellite data: The Calita landslide case (Italy)

Landslides involving fine-grained soils, such as earth slides and earthflows, are highly sensitive to pore water pressure variations, which can reduce soil shear strength through undrained-drained mechanisms. These mechanisms may be triggered by static loading, internal stress changes, or seismic activity. Additionally, the litho-structural setting can influence subsurface water flow, causing localized pressure increases. Monitoring pore water pressure and atmospheric conditions is essential for understanding instability triggers, especially in large-scale, slow-moving earthflows. However, due to the complexity of such extensive phenomena—like the Calita landslide in the northern Italian Apennines— integrating satellite data with conventional monitoring tools is crucial for a comprehensive view of the hydraulic behaviour of the landslide. This paper presents preliminary findings from a study aimed at defining a geotechnical model of the Calita landslide and identifying its predisposing and triggering factors. While the landslide has been previously analysed from geological and geomorphological perspectives, a detailed geotechnical assessment and interpretation of monitoring data is still lacking. The study incorporates hydro-mechanical laboratory results to better understand the landslide behaviour, particularly within the framework of partially saturated soils, to support future risk mitigation strategies.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-08-14
DOI
https://doi.org/10.1051/e3sconf/202564201010/pdf
Primary Topic
Landslides and related hazards
Type
article
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article

Hydro-mechanical characterisation and monitoring through conventional and satellite data: The Calita landslide case (Italy)

Matteo Maggi, Gennaro Maria Monti, V. Chiessi, Alessandro Fraccica et al.
Springer Link (Chiba Institute of Technology)
Landslides and related hazards
article

Hydro-mechanical characterisation and monitoring through conventional and satellite data: The Calita landslide case (Italy)

Matteo Maggi, Gennaro Maria Monti, V. Chiessi, Alessandro Fraccica, Danilo D’Angiò, Gianluigi Di Paola, Mauro Bonasera, Giovanni Bertolini
article en

Abstract

Landslides involving fine-grained soils, such as earth slides and earthflows, are highly sensitive to pore water pressure variations, which can reduce soil shear strength through undrained-drained mechanisms. These mechanisms may be triggered by static loading, internal stress changes, or seismic activity. Additionally, the litho-structural setting can influence subsurface water flow, causing localized pressure increases. Monitoring pore water pressure and atmospheric conditions is essential for understanding instability triggers, especially in large-scale, slow-moving earthflows. However, due to the complexity of such extensive phenomena—like the Calita landslide in the northern Italian Apennines— integrating satellite data with conventional monitoring tools is crucial for a comprehensive view of the hydraulic behaviour of the landslide. This paper presents preliminary findings from a study aimed at defining a geotechnical model of the Calita landslide and identifying its predisposing and triggering factors. While the landslide has been previously analysed from geological and geomorphological perspectives, a detailed geotechnical assessment and interpretation of monitoring data is still lacking. The study incorporates hydro-mechanical laboratory results to better understand the landslide behaviour, particularly within the framework of partially saturated soils, to support future risk mitigation strategies.

Springer Link (Chiba Institute of Technology)
Life in Land
Openalex Percentile: Top 20%
Landslides and related hazards
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Hydro-mechanical characterisation and monitoring through conventional and satellite data: The Calita landslide case (Italy) — Matteo Maggi, Gennaro Maria Monti, et al. · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS