2013
DOI: 10.1007/978-94-007-6769-0_2
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Innovative Techniques for the Detection and Characterization of the Kinematics of Slow-Moving Landslides

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Cited by 2 publications
(3 citation statements)
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“…This is true for basin-scale works and for articles showing multiple case studies. The Arno River Basin, including five different Tuscan provinces, is an example of this [31][32][33][34][35][36][37][38]. Video S1 proposes an additional visual interpretation of the temporal evolution of the scientific production at regional scale.…”
Section: Spatial Distribution Of the Insar Applicationsmentioning
confidence: 99%
See 1 more Smart Citation
“…This is true for basin-scale works and for articles showing multiple case studies. The Arno River Basin, including five different Tuscan provinces, is an example of this [31][32][33][34][35][36][37][38]. Video S1 proposes an additional visual interpretation of the temporal evolution of the scientific production at regional scale.…”
Section: Spatial Distribution Of the Insar Applicationsmentioning
confidence: 99%
“…In Italy, the hot-spot mapping approach has been applied in the Valle d'Aosta [73,74] and Tuscany [178][179][180] regions. More complex clustering approaches were proposed by Milone & Scepi in the Avellino (Campania region) area (CLARA, Clustering LARge Application algorithm [181]) and by Lu et al [35,37,182] for the Arno River Basin and the Volterra municipality (Tuscany region). The principal component analysis was applied by Bordoni et al [85] for landslide mapping in the alpine sector of the Piemonte region.…”
Section: Landslide Mappingmentioning
confidence: 99%
“…In this scenario, EWS relevant to displacement monitoring usually consist of three levels of attention (Intrieri et al, 2013): (i) an ordinary level, when displacements are below predefined thresholds, (ii) a pre-alarm level, used when the landslide shows displacements above the seasonal oscillation, and (iii) an alarm level, which identifies a critical activation of the unstable area. The application of complex monitoring networks to large landslides is documented in several reference papers (Brückl et al, 2013;Lu et al, 2014;Malet et al, 2002;Tarchi et al, 2003). However, strategies for the use and dissemination of such monitoring results, especially in emergency scenarios, are yet lacking in standards and best practices.…”
Section: Introductionmentioning
confidence: 99%