Academic Journal

PSI technique for quantitative hazard and risk assessment of landslides

التفاصيل البيبلوغرافية
العنوان: PSI technique for quantitative hazard and risk assessment of landslides
المؤلفون: Tofani V., Lu P., Catani F., Casagli N.
المساهمون: Tofani, V., Lu, P., Catani, F., Casagli, N.
بيانات النشر: Societa Geologica Italiana
سنة النشر: 2015
مصطلحات موضوعية: Landslide hazard and risk assessment, Persistent Scatterer Interferometry (PSI) technique, Remote sensing, Slow-moving landslide, manag, geo
الوصف: Preparation of reliable landslide hazard and risk maps is crucial for hazard mitigation and risk management. In recent years, various approaches have been developed for quantitative assessment of landslide hazard and risk. However, possibly due to the lack of new data, very few of these hazard and risk maps were updated after their first generation. In this study, aiming at an ongoing assessment, a novel approach for updating landslide hazard and risk maps based on Persistent Scatterer Interferometry (PSI) is introduced. The study was performed in the Arno River basin (central Italy) where most mass movements are slow-moving landslides which are properly within the detection precision of PSI point targets. In the Arno River basin, the preliminary hazard and risk assessment was performed by Catani et al. (2005) using datasets prior to 2002. In this study, the previous hazard and risk maps were updated using PSI point targets processed from 4 years (2003-2006) of RADARSAT images. Landslide hazard and risk maps for five temporal predictions of 2, 5, 10, 20 and 30 years were updated with the exposure of losses estimated in Euro (€). In particular, the result shows that in 30 years a potential loss of approximate €3.22 billion is expected due to these slow-moving landslides detected by PSI point targets.
نوع الوثيقة: article in journal/newspaper
اللغة: English
Relation: http://hdl.handle.net/11577/3384589
الاتاحة: http://hdl.handle.net/11577/3384589
Rights: undefined
رقم الانضمام: edsbas.1F7D4BBB
قاعدة البيانات: BASE