The Valpola landslide

Azzoni, A.; Chiesa, Sergio; Frassoni, A.; Govi, Mario

doi:10.1016/0013-7952(92)90035-w

Cited by 49 publications

(18 citation statements)

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“…Hendron and Patton, 1987;Kilburn and Petley, 2003), Val Pola (Italy; e.g. Costa, 1991;Azzoni et al, 1992) and Randa (Switzerland; e.g. Sartori et al, 2003;Eberhardt et al, 2004).…”

Section: Synopsis Of Data Compilationmentioning

confidence: 99%

Age distribution of fossil landslides in the Tyrol (Austria) and its surrounding areas

Prager

Zangerl²,

Patzelt

et al. 2008

Nat. Hazards Earth Syst. Sci.

156

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Abstract. Some of the largest mass movements in the Alps cluster spatially in the Tyrol (Austria). Fault-related valley deepening and coalescence of brittle discontinuities structurally controlled the progressive failure and the kinematics of several slopes. To evaluate the spatial and temporal landslide distribution, a first comprehensive compilation of dated mass movements in the Eastern Alps has been made. At present, more than 480 different landslides in the Tyrol and its surrounding areas, including some 120 fossil events, are recorded in a GIS-linked geodatabase. These compiled data show a rather continuous temporal distribution of landslide activities, with (i) some peaks of activity in the early Holocene at about 10 500–9400 cal BP and (ii) in the Tyrol a significant increase of deep-seated rockslides in the Subboreal at about 4200–3000 cal BP. The majority of Holocene mass movements were not directly triggered by deglaciation processes, but clearly took a preparation of some 1000 years, after ice withdrawal, until slopes collapsed. In view of this, several processes that may promote rock strength degradation are discussed. After the Late-Glacial, slope stabilities were affected by stress redistribution and by subcritical crack growth. Fracture propagating processes may have been favoured by glacial loading and unloading, by earthquakes and by pore pressure fluctuations. Repeated dynamic loading, even if at subcritical energy levels, initiates brittle fracture propagation and thus substantially promotes slope instabilities. Compiled age dating shows that several landslides in the Tyrol coincide temporally with the progradation of some larger debris flows in the nearby main valleys and, partially, with glacier advances in the Austrian Central Alps, indicating climatic phases of increased water supply. This gives evidence of elevated pore pressures within the intensely fractured rock masses. As a result, deep-seated gravitational slope deformations are induced by complex and polyphase interactions of lithological and structural parameters, morphological changes, subcritical fracture propagation, variable seismic activity and climatically controlled groundwater flows.

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“…Hendron and Patton, 1987;Kilburn and Petley, 2003), Val Pola (Italy; e.g. Costa, 1991;Azzoni et al, 1992) and Randa (Switzerland; e.g. Sartori et al, 2003;Eberhardt et al, 2004).…”

Section: Synopsis Of Data Compilationmentioning

confidence: 99%

Age distribution of fossil landslides in the Tyrol (Austria) and its surrounding areas

Prager

Zangerl²,

Patzelt

et al. 2008

Nat. Hazards Earth Syst. Sci.

156

View full text Add to dashboard Cite

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“…As stated before, this is a challenging dataset for an automatic algorithm because the time series is made up of images collected in different seasons, years, and images are characterized by different cloud and snow cover. Moreover, important land cover changes are also visible in the study area, since the heavy rainfall and the melting of glaciers resulted in the flooding of various rivers and torrents which in turn brought about much destruction in many villages and towns (for more details the reader is referred to Azzoni et al [1992]). The process of formation of the lake, and the successive works for recovering the regular hydraulic functions of the valley gave an impressive modification of the topography and land use.…”

Section: Results: Processing Of Synthetic Datamentioning

confidence: 99%

Automatic Co-registration of Satellite Time Series via Least Squares Adjustment

Barazzetti

Scaioni

Gianinetto

2014

European Journal of Remote Sensing

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Image-to-image co-registration is a fundamental task for data processing of satellite time series. This paper presents a new multi-image co-registration algorithm that simultaneously uses multi-image corresponding points in the whole multi-temporal sequence. Image co-registration parameters are then computed on the basis of a global adjustment. The implemented algorithm provides sub-pixel accuracy similar to that achievable with interactive measurements, but it is also able to register images which do not directly share corresponding features with the reference. Results for a (i) synthetic dataset and a (ii) real complex multi-temporal series made up of 13 Landsat images collected over a period of 30 years are illustrated and discussed. The obtained results showed that the implemented algorithm is atmospheric resistant and quite robust against land cover changes, cloud cover, and snow.

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“…Heavy rainfall and the melting of glaciers resulted in the flooding of several rivers and streams which caused heavy damages to villages and towns. For more details, the reader is referred to Alexander (1988 (Azzoni et al 1992;Crosta et al 2004). The bulk of rock and debris created an artificial dam by halting the flow of the River Adda, as well as interrupting the main road to the upper Valtellina valley.…”

Section: Study Area and Datamentioning

confidence: 98%

A New Approach to Satellite Time-series Co-registration for Landslide Monitoring

Barazzetti

Gianinetto

Scaioni

2015

Modern Technologies for Landslide Monitoring and Prediction

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Image-to-image co-registration is one of the preprocessing steps needed for the analysis of satellite time series. This chapter presents a new approach where all the available images are simultaneously co-registered, overcoming the limits of traditional techniques. This method was tested on the flood and landslide that occurred in Valtellina (northern Italy) during summer of 1987, resulting in the large rockslide of Val Pola. A data set made up of 13 medium-resolution satellite images collected with Landsat-4 and Landsat-5 Thematic Mapper over a period of 30 years was automatically processed. Results showed that the new approach can provide subpixel accuracy close to manual measurements, which today are considered the most accurate method for image registration. The multi-image co-registration method also demonstrated to be atmospheric resistant and robust against land-cover changes, snow, and cloud cover.

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The Valpola landslide

Cited by 49 publications

References 0 publications

Age distribution of fossil landslides in the Tyrol (Austria) and its surrounding areas

Age distribution of fossil landslides in the Tyrol (Austria) and its surrounding areas

Automatic Co-registration of Satellite Time Series via Least Squares Adjustment

A New Approach to Satellite Time-series Co-registration for Landslide Monitoring

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