Articles | Volume 18, issue 6
https://doi.org/10.5194/hess-18-2127-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-18-2127-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
10 Jun 2014
Research article |
| 10 Jun 2014
The influence of grid resolution on the prediction of natural and road-related shallow landslides
Department of Land, Environment, Agriculture and Forestry, University of Padova, Agripolis, viale dell'Università 16, 35020 Legnaro (PD), Italy
now at: Dept. of Environmental Systems Science, Swiss Federal Institute of Technology (ETH), Universitätstrasse 16, 8092, Zurich, Switzerland
M. Borga
Department of Land, Environment, Agriculture and Forestry, University of Padova, Agripolis, viale dell'Università 16, 35020 Legnaro (PD), Italy
G. T. Aronica
Department of Civil Engineering, University of Messina, Contrada di Dio, Villaggio S. Agata, 98166 Messina, Italy
G. Brigandì
Department of Civil Engineering, University of Messina, Contrada di Dio, Villaggio S. Agata, 98166 Messina, Italy
P. Tarolli
Department of Land, Environment, Agriculture and Forestry, University of Padova, Agripolis, viale dell'Università 16, 35020 Legnaro (PD), Italy
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- LANDSLIDE HAZARD MAPPING NEAR THE ADMIRAL ÁLVARO ALBERTO NUCLEAR COMPLEX, RIO DE JANEIRO, BRAZIL. L. Manfré et al. 10.1590/s1982-21702018000100009
47 citations as recorded by crossref.
- More than one landslide per road kilometer – surveying and modeling mass movements along the Rishikesh–Joshimath (NH-7) highway, Uttarakhand, India J. Mey et al. 10.5194/nhess-24-3207-2024
- Anthropogenically induced landslides – A challenge for railway infrastructure in mountainous regions H. Laimer 10.1016/j.enggeo.2017.03.015
- Metrics for quantifying anthropogenic impacts on geomorphology: road networks G. Sofia et al. 10.1002/esp.3842
- Evaluation of shallow landslide-triggering scenarios through a physically based approach: an example of application in the southern Messina area (northeastern Sicily, Italy) L. Schilirò et al. 10.5194/nhess-15-2091-2015
- Landslides in a changing climate S. Gariano & F. Guzzetti 10.1016/j.earscirev.2016.08.011
- An open-source and QGIS-integrated physically based model for Spatial Prediction of Rainfall-Induced Shallow Landslides (SPRIn-SL) L. Raimondi et al. 10.1016/j.envsoft.2022.105587
- Insights into Deformation and Mechanism of a Reactivated Landslide Occurrence from Multi-Source Data: A Case Study in Li County, China Y. Du et al. 10.3390/rs16081317
- Assessment of Land-Use and Land-Cover Change in Guangxi, China Y. Hu et al. 10.1038/s41598-019-38487-w
- Modeling windthrow effects on water runoff and hillslope stability in a mountain catchment affected by the VAIA storm L. Mauri & P. Tarolli 10.1016/j.scitotenv.2023.164831
- Qualifying mass failures on loess gully sidewalls using laboratory experimentation X. Xu et al. 10.1016/j.catena.2019.104252
- The influence of DEM spatial resolution on landslide susceptibility mapping in the Baxie River basin, NW China Z. Chen et al. 10.1007/s11069-020-03899-9
- A coupled hydrological-geotechnical framework for forecasting shallow landslide hazard—a case study in Halong City, Vietnam N. Ha et al. 10.1007/s10346-020-01385-8
- Evaluation of different DTMs in sediment connectivity determination in the Mascarada River Watershed, southern Brazil F. Zanandrea et al. 10.1016/j.geomorph.2019.02.005
- Geomorphometric characterisation of natural and anthropogenic land covers W. Cao et al. 10.1186/s40645-019-0314-x
- Exploiting the land use to predict shallow landslide susceptibility: A probabilistic implementation of LAPSUS-LS A. Giarola et al. 10.1016/j.catena.2024.108437
- Prediction of shallow landslide occurrence: Validation of a physically-based approach through a real case study L. Schilirò et al. 10.1016/j.scitotenv.2016.06.124
- Including root reinforcement variability in a probabilistic 3D stability model A. Cislaghi et al. 10.1002/esp.4127
- Sensitivity analysis of automatic landslide mapping: numerical experiments towards the best solution K. Pawluszek et al. 10.1007/s10346-018-0986-0
- Implications of terrain resolution on modeling rainfall-triggered landslides using a TIN- based model E. Arnone et al. 10.1016/j.envsoft.2021.105067
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- A probabilistic multidimensional approach to quantify large wood recruitment from hillslopes in mountainous-forested catchments A. Cislaghi et al. 10.1016/j.geomorph.2018.01.009
- Exploiting Maximum Entropy method and ASTER data for assessing debris flow and debris slide susceptibility for the Giampilieri catchment (north‐eastern Sicily, Italy) L. Lombardo et al. 10.1002/esp.3998
- Slope-Unit Scale Landslide Susceptibility Mapping Based on the Random Forest Model in Deep Valley Areas H. Deng et al. 10.3390/rs14174245
- Humans in the upstream can exacerbate climate change impacts on water birds’ habitat in the downstream S. Maleki et al. 10.1038/s41598-021-99822-8
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- The impact of DEM resolution on landslide susceptibility modeling A. Wubalem 10.1007/s12517-022-10241-z
- Field Measurements of Passive Earth Forces in Steep, Shallow, Landslide‐Prone Areas A. Cislaghi et al. 10.1029/2017JF004557
- Preface: Landslide–transport network interactions F. Taylor et al. 10.5194/nhess-20-2585-2020
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1 citations as recorded by crossref.
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