Articles | Volume 14, issue 8
Nat. Hazards Earth Syst. Sci., 14, 2215–2231, 2014
https://doi.org/10.5194/nhess-14-2215-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Nat. Hazards Earth Syst. Sci., 14, 2215–2231, 2014
https://doi.org/10.5194/nhess-14-2215-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article 27 Aug 2014
Research article | 27 Aug 2014
Non-susceptible landslide areas in Italy and in the Mediterranean region
I. Marchesini et al.
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Cited
22 citations as recorded by crossref.
- A spaceborne SAR-based procedure to support the detection of landslides G. Esposito et al. 10.5194/nhess-20-2379-2020
- Measures of Spatial Autocorrelation Changes in Multitemporal SAR Images for Event Landslides Detection A. Mondini 10.3390/rs9060554
- Impacts of past and future land changes on landslides in southern Italy S. Gariano et al. 10.1007/s10113-017-1210-9
- A global landslide non-susceptibility map G. Jia et al. 10.1016/j.geomorph.2021.107804
- Automatic delineation of geomorphological slope units with <tt>r.slopeunits v1.0</tt> and their optimization for landslide susceptibility modeling M. Alvioli et al. 10.5194/gmd-9-3975-2016
- Correlación de variables morfométricas para deslizamientos en la cuenca del río Combeima, Colombia G. Santa-Ramírez et al. 10.17230/ingciencia.16.31.7
- Suitability assessment of global, continental and national digital elevation models for geomorphological analyses in Italy M. Zingaro et al. 10.1111/tgis.12845
- Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran A. Arabameri et al. 10.3390/rs12030475
- Automatic mapping of event landslides at basin scale in Taiwan using a Montecarlo approach and synthetic land cover fingerprints A. Mondini et al. 10.1016/j.jag.2017.07.016
- Topography-driven satellite imagery analysis for landslide mapping M. Alvioli et al. 10.1080/19475705.2018.1458050
- Parameter-free delineation of slope units and terrain subdivision of Italy M. Alvioli et al. 10.1016/j.geomorph.2020.107124
- Assessing and Improving Flood and Landslide Community Social Awareness and Engagement via a Web Platform: The Case of Italy D. Bignami et al. 10.1007/s13753-018-0199-0
- Earthquake-induced landslides susceptibility evaluation: A case study from the Abruzzo region (Central Italy) C. Carabella et al. 10.1016/j.catena.2021.105729
- Landslide mobilization rates: A global analysis and model J. Broeckx et al. 10.1016/j.earscirev.2019.102972
- A review of statistically-based landslide susceptibility models P. Reichenbach et al. 10.1016/j.earscirev.2018.03.001
- The 10 m-resolution TINITALY DEM as a trans-disciplinary basis for the analysis of the Italian territory: Current trends and new perspectives S. Tarquini & L. Nannipieri 10.1016/j.geomorph.2016.12.022
- Presenting logistic regression-based landslide susceptibility results L. Lombardo & P. Mai 10.1016/j.enggeo.2018.07.019
- Gender, age and circumstances analysis of flood and landslide fatalities in Italy P. Salvati et al. 10.1016/j.scitotenv.2017.08.064
- Space-time landslide predictive modelling L. Lombardo et al. 10.1016/j.earscirev.2020.103318
- Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches B. Pham et al. 10.1016/j.catena.2018.12.018
- Geographical landslide early warning systems F. Guzzetti et al. 10.1016/j.earscirev.2019.102973
- Window-Based Morphometric Indices as Predictive Variables for Landslide Susceptibility Models N. Barbosa et al. 10.3390/rs13030451
22 citations as recorded by crossref.
- A spaceborne SAR-based procedure to support the detection of landslides G. Esposito et al. 10.5194/nhess-20-2379-2020
- Measures of Spatial Autocorrelation Changes in Multitemporal SAR Images for Event Landslides Detection A. Mondini 10.3390/rs9060554
- Impacts of past and future land changes on landslides in southern Italy S. Gariano et al. 10.1007/s10113-017-1210-9
- A global landslide non-susceptibility map G. Jia et al. 10.1016/j.geomorph.2021.107804
- Automatic delineation of geomorphological slope units with <tt>r.slopeunits v1.0</tt> and their optimization for landslide susceptibility modeling M. Alvioli et al. 10.5194/gmd-9-3975-2016
- Correlación de variables morfométricas para deslizamientos en la cuenca del río Combeima, Colombia G. Santa-Ramírez et al. 10.17230/ingciencia.16.31.7
- Suitability assessment of global, continental and national digital elevation models for geomorphological analyses in Italy M. Zingaro et al. 10.1111/tgis.12845
- Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran A. Arabameri et al. 10.3390/rs12030475
- Automatic mapping of event landslides at basin scale in Taiwan using a Montecarlo approach and synthetic land cover fingerprints A. Mondini et al. 10.1016/j.jag.2017.07.016
- Topography-driven satellite imagery analysis for landslide mapping M. Alvioli et al. 10.1080/19475705.2018.1458050
- Parameter-free delineation of slope units and terrain subdivision of Italy M. Alvioli et al. 10.1016/j.geomorph.2020.107124
- Assessing and Improving Flood and Landslide Community Social Awareness and Engagement via a Web Platform: The Case of Italy D. Bignami et al. 10.1007/s13753-018-0199-0
- Earthquake-induced landslides susceptibility evaluation: A case study from the Abruzzo region (Central Italy) C. Carabella et al. 10.1016/j.catena.2021.105729
- Landslide mobilization rates: A global analysis and model J. Broeckx et al. 10.1016/j.earscirev.2019.102972
- A review of statistically-based landslide susceptibility models P. Reichenbach et al. 10.1016/j.earscirev.2018.03.001
- The 10 m-resolution TINITALY DEM as a trans-disciplinary basis for the analysis of the Italian territory: Current trends and new perspectives S. Tarquini & L. Nannipieri 10.1016/j.geomorph.2016.12.022
- Presenting logistic regression-based landslide susceptibility results L. Lombardo & P. Mai 10.1016/j.enggeo.2018.07.019
- Gender, age and circumstances analysis of flood and landslide fatalities in Italy P. Salvati et al. 10.1016/j.scitotenv.2017.08.064
- Space-time landslide predictive modelling L. Lombardo et al. 10.1016/j.earscirev.2020.103318
- Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches B. Pham et al. 10.1016/j.catena.2018.12.018
- Geographical landslide early warning systems F. Guzzetti et al. 10.1016/j.earscirev.2019.102973
- Window-Based Morphometric Indices as Predictive Variables for Landslide Susceptibility Models N. Barbosa et al. 10.3390/rs13030451
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