M
Michele Santangelo
Researcher at University of Perugia
Publications - 51
Citations - 2433
Michele Santangelo is an academic researcher from University of Perugia. The author has contributed to research in topics: Landslide & Geology. The author has an hindex of 18, co-authored 44 publications receiving 1785 citations. Previous affiliations of Michele Santangelo include National Research Council.
Papers
More filters
Journal ArticleDOI
Landslide inventory maps: New tools for an old problem
Fausto Guzzetti,Alessandro Cesare Mondini,Mauro Cardinali,Federica Fiorucci,Michele Santangelo,Kang-Tsung Chang +5 more
TL;DR: In this article, the authors outline the principles for landslide mapping, and review the conventional methods for the preparation of landslide maps, including geomorphological, event, seasonal, and multi-temporal inventories.
Journal ArticleDOI
Generating an optimal DTM from airborne laser scanning data for landslide mapping in a tropical forest environment
Khamarrul Azahari Razak,Khamarrul Azahari Razak,Michele Santangelo,Cees J. van Westen,Menno Straatsma,Steven M. de Jong +5 more
TL;DR: In this article, the authors evaluated the suitability of airborne laser scanning (ALS) data for generating an optimal digital terrain model (DTM) for mapping landslides in the Cameron Highlands, Malaysia.
Journal ArticleDOI
Morphological and kinematic evolution of a large earthflow: The Montaguto landslide, southern Italy
Daniele Giordan,Paolo Allasia,Andrea Manconi,Marco Baldo,Michele Santangelo,Mauro Cardinali,Angelo Corazza,Vincenzo Albanese,Giorgio Lollino,Fausto Guzzetti +9 more
TL;DR: In this paper, a combination of aerial and satellite imagery and three robotised total stations (RTSs) were used to investigate the long-term evolution of the Montaguto earthflow in the 58-year period (1954-2011).
Journal ArticleDOI
Sentinel-1 SAR Amplitude Imagery for Rapid Landslide Detection
Alessandro Cesare Mondini,Michele Santangelo,Margherita Rocchetti,Enrica Rossetto,Andrea Manconi,Oriol Monserrat +5 more
TL;DR: A systematic assessment of Sentinel-1 SAR C-band images acquired before and after known events promises to increase the availability of information on landslides at different spatial and temporal scales with benefits for event magnitude assessment during weather-related emergencies, model tuning, and landslide forecast model validation, in particular when accurate mapping is not required.
Morphological and kinematic evolution of a large earthflow: the Montaguto landslide, southern Italy
Daniele Giordan,Paolo Allasia,Andrea Manconi,Marco Baldo,Michele Santangelo,Mauro Cardinali,Angelo Corazza,Vincenzo Albanese,Giorgio Lollino,Fausto Guzzetti +9 more
TL;DR: In this paper, a combination of aerial and satellite imagery and three robotised total stations (RTSs) were used to investigate the long-term evolution of the Montaguto earthflow in the 58-year period (1954-2011).