Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Veronica Tofani"'
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Gender inequality is detrimental to individuals and ultimately to organizations. Furthermore, addressing this issue will become more important to be eligible for research funds, as already occurs in Europe. Since language shapes the way we think, som
Externí odkaz:
https://doaj.org/article/921051789d6c4f8abf89e7c7803ab49d
Autor:
Francesco Caleca, Veronica Tofani, Samuele Segoni, Federico Raspini, Rachele Franceschini, Ascanio Rosi
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
Landslides are a worldwide natural hazard that cause more damage and casualties than other hazards. Therefore, social and economic losses can be reduced through a landslide quantitative risk assessment (QRA). In the last two decades, many attempts of
Externí odkaz:
https://doaj.org/article/004e21c44f39488589c8bb7bd8ab7a95
Autor:
Agnese Innocenti, Ascanio Rosi, Veronica Tofani, Veronica Pazzi, Elisa Gargini, Elena Benedetta Masi, Samuele Segoni, Davide Bertolo, Marco Paganone, Nicola Casagli
Publikováno v:
Remote Sensing, Vol 15, Iss 8, p 2159 (2023)
Performing a reliable stability analysis of a landslide slope requires a good understanding of the internal geometries and an accurate characterisation of the geotechnical parameters of the identified strata. Geotechnical models are commonly based on
Externí odkaz:
https://doaj.org/article/0fc8c362abda4eed909c7df3e8ec066b
Autor:
Antonella Marinelli, Camilla Medici, Ascanio Rosi, Veronica Tofani, Silvia Bianchini, Nicola Casagli
Publikováno v:
Geosciences, Vol 12, Iss 4, p 177 (2022)
Velocity is one of the most important parameters to evaluate the damaging potential of a mass movement, but its assessment, especially for extremely rapid landslides, is a complex task. In the literature, several models to assess mass movement veloci
Externí odkaz:
https://doaj.org/article/31f77e04990e4d228cd33c402c931d93
Autor:
Pietro Vannocci, Samuele Segoni, Elena Benedetta Masi, Francesco Cardi, Nicola Nocentini, Ascanio Rosi, Gabriele Bicocchi, Michele D’Ambrosio, Massimiliano Nocentini, Luca Lombardi, Veronica Tofani, Nicola Casagli, Filippo Catani
Publikováno v:
Data, Vol 7, Iss 3, p 37 (2022)
One of the main constraints in assessing shallow landslide hazards through physically based models is the need to characterize the geotechnical parameters of the involved materials. Indeed, the quantity and quality of input data are closely related t
Externí odkaz:
https://doaj.org/article/910b51a4ccf046e69a3c8b05e871d981
Publikováno v:
Geosciences, Vol 11, Iss 5, p 212 (2021)
The influence of vegetation on mechanical and hydrological soil behavior represents a significant factor to be considered in shallow landslides modelling. Among the multiple effects exerted by vegetation, root reinforcement is widely recognized as on
Externí odkaz:
https://doaj.org/article/439a601957224059a8b4638a89c0c61b
Publikováno v:
Remote Sensing, Vol 12, Iss 9, p 1462 (2020)
Information regarding the shape and depth of a landslide sliding surface (LSS) is fundamental for the estimation of the volume of the unstable masses, which in turn is of primary importance for the assessment of landslide magnitude and risk scenarios
Externí odkaz:
https://doaj.org/article/87dc6080430c46928fe1a26f357c26e5
Publikováno v:
Frontiers in Earth Science, Vol 6 (2018)
We propose a methodology to couple rainfall thresholds and susceptibility maps for dynamic landslide hazard assessment at regional scale. Both inputs are combined in a purposely-built hazard matrix to get a spatially and temporally variable definitio
Externí odkaz:
https://doaj.org/article/dfd56d0b4eed44c0a358d4c99ce58c29
Publikováno v:
Remote Sensing, Vol 6, Iss 11, Pp 10510-10522 (2014)
In this paper, we present a procedure to map subsidence at the regional scale by means of persistent scatterer interferometry (PSI). Subsidence analysis is usually restricted to plain areas and where the presence of this phenomenon is already known.
Externí odkaz:
https://doaj.org/article/dee83512c4a34e188bee1b3b3bba7c62
Publikováno v:
Remote Sensing, Vol 6, Iss 2, Pp 907-924 (2014)
This paper describes the application of remote sensing techniques, based on SAR interferometry for the intensity zonation of the landslide affecting the Castagnola village (Northern Apennines of Liguria region, Italy). The study of the instability co
Externí odkaz:
https://doaj.org/article/224ac0abc69043f0a7731a5bbac15f04