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Segoni, Samuele, Rossi, Guglielmo, Rosi, Ascanio, Catani, Filippo (2014) Landslides triggered by rainfall: A semi-automated procedure to define consistent intensity–duration thresholds. Computers & Geosciences, 63. 123-131 doi:10.1016/j.cageo.2013.10.009

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Reference TypeJournal (article/letter/editorial)
TitleLandslides triggered by rainfall: A semi-automated procedure to define consistent intensity–duration thresholds
JournalComputers & Geosciences
AuthorsSegoni, SamueleAuthor
Rossi, GuglielmoAuthor
Rosi, AscanioAuthor
Catani, FilippoAuthor
Year2014 (February)Volume63
PublisherElsevier BV
DOIdoi:10.1016/j.cageo.2013.10.009Search in ResearchGate
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Mindat Ref. ID453786Long-form Identifiermindat:1:5:453786:5
GUID0
Full ReferenceSegoni, Samuele, Rossi, Guglielmo, Rosi, Ascanio, Catani, Filippo (2014) Landslides triggered by rainfall: A semi-automated procedure to define consistent intensity–duration thresholds. Computers & Geosciences, 63. 123-131 doi:10.1016/j.cageo.2013.10.009
Plain TextSegoni, Samuele, Rossi, Guglielmo, Rosi, Ascanio, Catani, Filippo (2014) Landslides triggered by rainfall: A semi-automated procedure to define consistent intensity–duration thresholds. Computers & Geosciences, 63. 123-131 doi:10.1016/j.cageo.2013.10.009
In(2014) Computers & Geosciences Vol. 63. Elsevier BV

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Rosi, Ascanio, Canavesi, Vanessa, Segoni, Samuele, Dias Nery, Tulius, Catani, Filippo, Casagli, Nicola (2019) Landslides in the Mountain Region of Rio de Janeiro: A Proposal for the Semi-Automated Definition of Multiple Rainfall Thresholds. Geosciences, 9 (5) 203 doi:10.3390/geosciences9050203
Segoni, Samuele, Tofani, Veronica, Rosi, Ascanio, Catani, Filippo, Casagli, Nicola (2018) Combination of Rainfall Thresholds and Susceptibility Maps for Dynamic Landslide Hazard Assessment at Regional Scale. Frontiers in Earth Science, 6. doi:10.3389/feart.2018.00085
Abraham, Minu Treesa, Satyam, Neelima, Rosi, Ascanio, Pradhan, Biswajeet, Segoni, Samuele (2020) The Selection of Rain Gauges and Rainfall Parameters in Estimating Intensity-Duration Thresholds for Landslide Occurrence: Case Study from Wayanad (India) Water, 12 (4) 1000pp. doi:10.3390/w12041000
Battistini, Alessandro, Rosi, Ascanio, Segoni, Samuele, Lagomarsino, Daniela, Catani, Filippo, Casagli, Nicola (2017) Validation of landslide hazard models using a semantic engine on online news. Applied Geography, 82. 59-65 doi:10.1016/j.apgeog.2017.03.003
Rosi, Ascanio, Segoni, Samuele, Catani, Filippo, Casagli, Nicola (2012) Statistical and environmental analyses for the definition of a regional rainfall threshold system for landslide triggering in Tuscany (Italy). Journal of Geographical Sciences, 22 (4). 617-629 doi:10.1007/s11442-012-0951-0
Segoni, Samuele, Rossi, Guglielmo, Catani, Filippo (2012) Improving basin scale shallow landslide modelling using reliable soil thickness maps. Natural Hazards, 61. 85-101 doi:10.1007/s11069-011-9770-3
Abraham, Minu Treesa, Satyam, Neelima, Rosi, Ascanio, Pradhan, Biswajeet, Segoni, Samuele (2021) Usage of antecedent soil moisture for improving the performance of rainfall thresholds for landslide early warning. CATENA, 200. 105147 doi:10.1016/j.catena.2021.105147
Canavesi, Vanessa, Segoni, Samuele, Rosi, Ascanio, Ting, Xiao, Nery, Tulius, Catani, Filippo, Casagli, Nicola (2020) Different Approaches to Use Morphometric Attributes in Landslide Susceptibility Mapping Based on Meso-Scale Spatial Units: A Case Study in Rio de Janeiro (Brazil). Remote Sensing, 12 (11). doi:10.3390/rs12111826
Rosi, A., Lagomarsino, D., Rossi, G., Segoni, S., Battistini, A., Casagli, N. (2015) Updating EWS rainfall thresholds for the triggering of landslides. Natural Hazards, 78. 297-308 doi:10.1007/s11069-015-1717-7
Nocentini, Nicola, Rosi, Ascanio, Segoni, Samuele, Fanti, Riccardo (2023) Towards landslide space-time forecasting through machine learning: the influence of rainfall parameters and model setting. Frontiers in Earth Science, 11. doi:10.3389/feart.2023.1152130
Vessia, Giovanna, Pisano, Luca, Vennari, Carmela, Rossi, Mauro, Parise, Mario (2016) Mimic expert judgement through automated procedure for selecting rainfall events responsible for shallow landslide: A statistical approach to validation. Computers & Geosciences, 86. 146-153 doi:10.1016/j.cageo.2015.10.015
 
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