π
|
The new landslide inventory of Tuscany (Italy) updated with PS-InSAR: geomorphological features and landslide distribution
7 auth.
A. Rosi,
V. Tofani,
Luca Tanteri,
C. T. Stefanelli,
Andrea Agostini,
Filippo Catani,
...
N. Casagli
|
7 |
2017 |
7 π
|
π¬
|
A Tool for Classification and Regression Using Random Forest Methodology: Applications to Landslide Susceptibility Mapping and Soil Thickness Modeling
D. Lagomarsino,
V. Tofani,
S. Segoni,
Filippo Catani,
N. Casagli
|
6 |
2017 |
6 π¬
|
π’
|
Morphological analysis and features of the landslide dams in the Cordillera Blanca, Peru
C. T. Stefanelli,
V. VilΓmek,
A. Emmer,
Filippo Catani
|
5 |
2018 |
5 π’
|
π’
|
Landslide damming hazard susceptibility maps: a new GIS-based procedure for risk management
C. T. Stefanelli,
N. Casagli,
Filippo Catani
|
4 |
2020 |
4 π’
|
π
|
Classification of rock slope cavernous weathering on UAV photogrammetric point clouds: The example of Hegra (UNESCO World Heritage Site, Kingdom of Saudi Arabia)
9 auth.
T. Beni,
Lorenzo Nava,
G. Gigli,
W. Frodella,
Filippo Catani,
N. Casagli,
...
JosΓ© Ignacio Gallego,
C. Margottini,
D. Spizzichino
|
3 |
2023 |
3 π
|
π’
|
Mapping natural and urban environments using airborne multi-sensor ADS40-MIVIS-LiDAR synergies
Giovanni Forzieri,
Luca Tanteri,
G. Moser,
Filippo Catani
|
3 |
2013 |
3 π’
|
π¬
|
Detecting information from Twitter on landslide hazards in Italy using deep learning models
Rachele Franceschini,
A. Rosi,
Filippo Catani,
N. Casagli
|
1 |
2024 |
1 π¬
|