Zobrazeno 1 - 10
of 128
pro vyhledávání: '"F, Ardizzone"'
Autor:
M. Santangelo, O. Althuwaynee, M. Alvioli, F. Ardizzone, C. Bianchi, T. Bornaetxea, M. T. Brunetti, F. Bucci, M. Cardinali, M. Donnini, G. Esposito, S. L. Gariano, S. Grita, I. Marchesini, M. Melillo, S. Peruccacci, P. Salvati, M. Yazdani, F. Fiorucci
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-11 (2023)
Abstract Systematic and timely documentation of triggered (i.e. event) landslides is fundamental to build extensive datasets worldwide that may help define and/or validate trends in response to climate change. More in general, preparation of landslid
Externí odkaz:
https://doaj.org/article/54a9602619904cf2b5b72c5656a2a7da
Publikováno v:
Earth System Science Data, Vol 15, Pp 753-767 (2023)
Detailed and accurate geomorphological historical landslide inventory maps are an invaluable source of information for many research topics and applications. Their systematic preparation worldwide has been advised by many researchers as it may foster
Externí odkaz:
https://doaj.org/article/37bb0ae7a4f743b1919f29838b802c6f
Autor:
F. Bucci, M. Santangelo, F. Fiorucci, F. Ardizzone, D. Giordan, M. Cignetti, D. Notti, P. Allasia, D. Godone, D. Lagomarsino, A. Pozzoli, E. Norelli, M. Cardinali
Publikováno v:
Journal of Maps, Vol 17, Iss 2, Pp 376-388 (2021)
Landslide inventories provide the knowledge basis for many geomorphological applications and also planning and emergency management. Detailed landslide inventories should also be prepared where pre-existing inventories are available, as knowledge upd
Externí odkaz:
https://doaj.org/article/1e8b143adee944aab43b1df46238fb39
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 20, Pp 271-285 (2020)
This contribution tests the added value of including landslide path dependency in statistically based landslide susceptibility modelling. A conventional pixel-based landslide susceptibility model was compared with a model that includes landslide path
Externí odkaz:
https://doaj.org/article/d283f98ffc4d4d8d894bc032be96c89c
Autor:
G. Vignaroli, M. Mancini, F. Bucci, M. Cardinali, G.P. Cavinato, M. Moscatelli, M.L. Putignano, P. Sirianni, M. Santangelo, F. Ardizzone, G. Cosentino, C. Di Salvo, F. Fiorucci, I. Gaudiosi, S. Giallini, P. Messina, E. Peronace, F. Polpetta, P. Reichenbach, V. Scionti, M. Simionato, F. Stigliano
Publikováno v:
Journal of Maps, Vol 15, Iss 2, Pp 193-202 (2019)
A 1:5,000 scale geological map and 31 geological cross-sections are presented for the surroundings of Amatrice village (central Apennines, Italy), epicentral area of the first damaging earthquake of the 2016–2017 seismic sequence. This detailed geo
Externí odkaz:
https://doaj.org/article/5e0d83e8be6b4054be03641d81bb7c9d
Publikováno v:
Geoscientific Model Development, Vol 9, Pp 3975-3991 (2016)
Automatic subdivision of landscapes into terrain units remains a challenge. Slope units are terrain units bounded by drainage and divide lines, but their use in hydrological and geomorphological studies is limited because of the lack of reliable s
Externí odkaz:
https://doaj.org/article/18753b86a2de4e62831ef56e3128fada
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 14, Iss 8, Pp 2215-2231 (2014)
We used landslide information for 13 study areas in Italy and morphometric information obtained from the 3-arcseconds shuttle radar topography mission digital elevation model (SRTM DEM) to determine areas where landslide susceptibility is expected to
Externí odkaz:
https://doaj.org/article/68fd583918224ec1a52b232ce2bc86a7
Autor:
A. Manconi, F. Casu, F. Ardizzone, M. Bonano, M. Cardinali, C. De Luca, E. Gueguen, I. Marchesini, M. Parise, C. Vennari, R. Lanari, F. Guzzetti
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 14, Iss 7, Pp 1835-1841 (2014)
We present an approach to measure 3-D surface deformations caused by large, rapid-moving landslides using the amplitude information of high-resolution, X-band synthetic aperture radar (SAR) images. We exploit SAR data captured by the COSMO-SkyMed sat
Externí odkaz:
https://doaj.org/article/1754990c755040e48feeb70603736d86
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