Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Giovanni Gullà"'
Autor:
Michele Mercuri, Deborah Biondino, Mariantonietta Ciurleo, Gino Cofone, Massimo Conforti, Giovanni Gullà, Maria Carmela Stellato, Luigi Borrelli
Publikováno v:
GeoHazards, Vol 5, Iss 3, Pp 683-699 (2024)
The use of unmanned aerial vehicles (UAVs) can significantly assist landslide detection and characterization in different geological contexts at a detailed scale. This study investigated the role of UAVs in detecting a first-failure landslide occurri
Externí odkaz:
https://doaj.org/article/ba012b8fd7e84910860a0f2e89a8888a
Publikováno v:
Geoenvironmental Disasters, Vol 8, Iss 1, Pp 1-25 (2021)
Abstract This paper proposes a three-phase method that combines multi-source (i.e. topographic, thematic, monitoring) input data in a GIS environment to rank—at small (1:250,000) scale—administrative units (e.g. municipalities) based on their exp
Externí odkaz:
https://doaj.org/article/0461146103fa426dbca7dfd18d6fedec
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 12, Iss 1, Pp 2500-2543 (2021)
Intense rainfall events often produce a great number of shallow landslides events, which in many cases can hits large areas or an entire regional territory. These slope instabilities cause damage to many roads, buildings, and infrastructures and ofte
Externí odkaz:
https://doaj.org/article/106425ddf50e47cc850359a5009dc666
Autor:
Luigi Borrelli, Gianfranco Nicodemo, Settimio Ferlisi, Dario Peduto, Silvio Di Nocera, Giovanni Gullà
Publikováno v:
Journal of Maps, Vol 14, Iss 2, Pp 32-44 (2018)
This paper presents a mass movement inventory map at 1:5000 scale of the Verbicaro area (about 13 km2) located in the Calabria region (southern Italy). The Main Map results from the visual interpretation of aerial photographs, multi-temporal geomorph
Externí odkaz:
https://doaj.org/article/9b2f50abaa2e42b28fda1932dcede726
Publikováno v:
Journal of Maps, Vol 14, Iss 2, Pp 242-256 (2018)
This paper presents a detailed map (Main Map) showing geology, tectonics, weathering intensity and spatial distribution of landslides in the San Pietro in Guarano study area (about 7.5 km2), located in the north-western sector of Calabria (southern I
Externí odkaz:
https://doaj.org/article/01c3d237d5b148ed8204e1bd909e051c
Publikováno v:
Remote Sensing, Vol 12, Iss 6, p 1039 (2020)
In February 2010 a large landslide affected the Maierato municipality (Calabria, Italy). The landslide, mainly caused by a period of prolonged and intense rainfalls, produced a mass displacement of about 5 million m³ and several damages to farmlands
Externí odkaz:
https://doaj.org/article/234964dae45e46a58263e429423aaffd
Publikováno v:
Environmental Earth Sciences. 82
Autor:
Virginia Zamparelli, Gianfranco Nicodemo, Settimio Ferlisi, Diego Reale, Dario Peduto, Carlo Noviello, Gianfranco Fornaro, Simona Verde, Giovanni Gullà, Antonio Pauciullo
Publikováno v:
Geoscience and Remote Sensing Magazine, IEEE 8 (2020): 91–119. doi:10.1109/MGRS.2019.2963140
info:cnr-pdr/source/autori:Noviello, Carlo; Verde, Simona; Zamparelli, Virginia; Fornaro, Gianfranco; Pauciullo, Antonio; Reale, Diego; Nicodemo, Gianfranco; Ferlisi, Settimio; Gulla, Giovanni; Peduto, Dario/titolo:Monitoring Buildings at Landslide Risk With SAR: A Methodology Based on the Use of Multipass Interferometric Data/doi:10.1109%2FMGRS.2019.2963140/rivista:Geoscience and Remote Sensing Magazine, IEEE/anno:2020/pagina_da:91/pagina_a:119/intervallo_pagine:91–119/volume:8
info:cnr-pdr/source/autori:Noviello, Carlo; Verde, Simona; Zamparelli, Virginia; Fornaro, Gianfranco; Pauciullo, Antonio; Reale, Diego; Nicodemo, Gianfranco; Ferlisi, Settimio; Gulla, Giovanni; Peduto, Dario/titolo:Monitoring Buildings at Landslide Risk With SAR: A Methodology Based on the Use of Multipass Interferometric Data/doi:10.1109%2FMGRS.2019.2963140/rivista:Geoscience and Remote Sensing Magazine, IEEE/anno:2020/pagina_da:91/pagina_a:119/intervallo_pagine:91–119/volume:8
Interferometric methods are drivers of the recent exponential growth in the use of synthetic aperture radar (SAR) for monitoring both natural and anthropogenic hazards. Since the first use of interferometric SAR (InSAR) in the late 1990s to detect de