Zobrazeno 1 - 10
of 129
pro vyhledávání: '"Stefano Crema"'
Autor:
Giorgia Macchi, Giovanni Monegato, Alessandro Pasuto, Gabriella Boretto, Stefano Crema, Lorenzo Marchi, Marco Cavalli
Publikováno v:
Journal of Maps, Vol 19, Iss 1 (2023)
ABSTRACTGeomorphological field surveys and mapping have been carried out in a catchment of the Dolomites (eastern Italian Alps) as part of a research project aiming at the assessment of sediment availability for mass wasting in mountain environments.
Externí odkaz:
https://doaj.org/article/ddef7dc435e6468c84a7400d0909d1a8
Autor:
Michele Santangelo, Ivan Marchesini, Francesco Bucci, Mauro Cardinali, Marco Cavalli, Stefano Crema, Lorenzo Marchi, Massimiliano Alvioli, Fausto Guzzetti
Publikováno v:
Journal of Maps, Vol 17, Iss 4, Pp 124-132 (2021)
Starting on 24th August 2016, Central Italy was struck by a six-month earthquake sequence that caused 303 victims and extensive major damages to urban areas and infrastructures, in some cases entire villages needed complete rebuilding. In this paper
Externí odkaz:
https://doaj.org/article/f1172ca969e94d1a9530bbb3403475e4
Autor:
Giacomo Titti, Alessandro Sarretta, Luigi Lombardo, Stefano Crema, Alessandro Pasuto, Lisa Borgatti
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
In this study, a new tool for quantitative, data-driven susceptibility zoning (SZ) is presented. The SZ plugin has been implemented as a QGIS plugin to maximize its operational use within the geoscientific community. QGIS is in fact a commonly used o
Externí odkaz:
https://doaj.org/article/a6ca8c0e5ac64027a0066804b3bdd4bf
Autor:
Sara Cucchiaro, Eleonora Maset, Marco Cavalli, Stefano Crema, Lorenzo Marchi, Alberto Beinat, Federico Cazorzi
Publikováno v:
GIScience & Remote Sensing, Vol 57, Iss 5, Pp 611-632 (2020)
High-Resolution Topography (HRT) data sets are becoming increasingly available, improving our ability and opportunities to monitor geomorphic changes through multi-temporal Digital Terrain Models (DTMs). The use of repeated topographic surveys enable
Externí odkaz:
https://doaj.org/article/1f17742b41b542f6a3d8bd1a4d560513
Publikováno v:
PeerJ, Vol 6, p e5903 (2018)
Latest advances in topographic data acquisition techniques have greatly enhanced the possibility to analyse landscapes in order to understand the processes that shaped them. High-resolution Digital Elevation Models (DEMs), such as LiDAR-derived ones,
Externí odkaz:
https://doaj.org/article/97aa254405b44c91bd17ca4c3faf5ab3
Publikováno v:
Frontiers in Earth Science, Vol 6 (2018)
Debris flows are among the most dangerous natural processes affecting the alpine environment due to their magnitude (volume of transported material) and the long runout. The presence of structures and infrastructures on alluvial fans can lead to seve
Externí odkaz:
https://doaj.org/article/10945e0b831e4c25b4cdfd2cfbd9eae7
Autor:
Omid Rahmati, Seyed Masoud Soleimanpour, Mahmood Arabkhedri, Sardar Mehrjo, Zahra Kalantari, Marco Cavalli, Stefano Crema, Aref Bahmani
Publikováno v:
Journal of Soils and Sediments. 23:2298-2309
Autor:
Marco Cavalli, Giovanni Monegato, Lorenzo Marchi, Barbara De Fanti, Gabriella Boretto, Luciano Arziliero, Stefano Crema, Giorgia Macchi
Publikováno v:
Rendiconti Online della Società Geologica Italiana. 58:2-8
Autor:
Matteo Mantovani, Stefano Crema, Giulia Bossi, Federica Ceccotto, Gianluca Marcato, Alessandro Pasuto
The ability to detect and map landslides triggered by intense rainfall in quasi-real time is essential to mitigate their impact and for effective crisis management. The manipulation of space-borne synthetic aperture radar (SAR) images has proven to b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5eb9f61e6096ae64a9e457cb1a302112
https://doi.org/10.5194/egusphere-egu23-8803
https://doi.org/10.5194/egusphere-egu23-8803
Autor:
Robert J. Johnston, Klaus Moeltner, Seth Peery, Tom Ndebele, Zhenyu Yao, Stefano Crema, Wilfred M. Wollheim, Elena Besedin
Publikováno v:
Proceedings of the National Academy of Sciences. 120
Households’ willingness to pay (WTP) for water quality improvements—representing their economic value—depends on where improvements occur. Households often hold higher values for improvements close to their homes or iconic areas. Are there othe