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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Cited
50 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. https://doi.org/10.5194/nhess-24-3207-2024
- Anthropogenically induced landslides – A challenge for railway infrastructure in mountainous regions H. Laimer https://doi.org/10.1016/j.enggeo.2017.03.015
- Metrics for quantifying anthropogenic impacts on geomorphology: road networks G. Sofia et al. https://doi.org/10.1002/esp.3842
- ФОРМИРОВАНИЕ НАУЧНЫХ ОСНОВ ПРОЦЕССА ЗЕМЛЕУСТРОЙСТВА Ш. Еликбаева et al. https://doi.org/10.37884/1-2026/14
- 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. https://doi.org/10.5194/nhess-15-2091-2015
- Landslides in a changing climate S. Gariano & F. Guzzetti https://doi.org/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. https://doi.org/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. https://doi.org/10.3390/rs16081317
- Assessment of Land-Use and Land-Cover Change in Guangxi, China Y. Hu et al. https://doi.org/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 https://doi.org/10.1016/j.scitotenv.2023.164831
- Qualifying mass failures on loess gully sidewalls using laboratory experimentation X. Xu et al. https://doi.org/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. https://doi.org/10.1007/s11069-020-03899-9
- ECOLOGICAL-LANDSCAPE ZONING OF INFRASTRUCTURE SUSTAINABILITY IN AGRICULTURE O. Yernaz et al. https://doi.org/10.37884/2-2025/24
- A coupled hydrological-geotechnical framework for forecasting shallow landslide hazard—a case study in Halong City, Vietnam N. Ha et al. https://doi.org/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. https://doi.org/10.1016/j.geomorph.2019.02.005
- Geomorphometric characterisation of natural and anthropogenic land covers W. Cao et al. https://doi.org/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. https://doi.org/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. https://doi.org/10.1016/j.scitotenv.2016.06.124
- Including root reinforcement variability in a probabilistic 3D stability model A. Cislaghi et al. https://doi.org/10.1002/esp.4127
- Sensitivity analysis of automatic landslide mapping: numerical experiments towards the best solution K. Pawluszek et al. https://doi.org/10.1007/s10346-018-0986-0
- Implications of terrain resolution on modeling rainfall-triggered landslides using a TIN- based model E. Arnone et al. https://doi.org/10.1016/j.envsoft.2021.105067
- Evaluating scale effects of topographic variables in landslide susceptibility models using GIS-based machine learning techniques K. Chang et al. https://doi.org/10.1038/s41598-019-48773-2
- Machine learning based landslide assessment of the Belgrade metropolitan area: Pixel resolution effects and a cross-scaling concept U. Đurić et al. https://doi.org/10.1016/j.enggeo.2019.05.007
- A probabilistic multidimensional approach to quantify large wood recruitment from hillslopes in mountainous-forested catchments A. Cislaghi et al. https://doi.org/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. https://doi.org/10.1002/esp.3998
- Slope-Unit Scale Landslide Susceptibility Mapping Based on the Random Forest Model in Deep Valley Areas H. Deng et al. https://doi.org/10.3390/rs14174245
- Humans in the upstream can exacerbate climate change impacts on water birds’ habitat in the downstream S. Maleki et al. https://doi.org/10.1038/s41598-021-99822-8
- Presence-only approach to assess landslide triggering-thickness susceptibility: a test for the Mili catchment (north-eastern Sicily, Italy) L. Lombardo et al. https://doi.org/10.1007/s11069-016-2443-5
- Remote Sensing and Field Survey Data Integration to Investigate on the Evolution of the Coastal Area: The Case Study of Bagnara Calabra (Southern Italy) I. Alberico et al. https://doi.org/10.3390/rs14102459
- Exploring relationships between grid cell size and accuracy for debris-flow susceptibility models: a test in the Giampilieri catchment (Sicily, Italy) M. Cama et al. https://doi.org/10.1007/s12665-015-5047-6
- Human topographic signatures and derived geomorphic processes across landscapes P. Tarolli & G. Sofia https://doi.org/10.1016/j.geomorph.2015.12.007
- GIS-based landslide susceptibility model considering effective contributing area for drainage time A. Pradhan & Y. Kim https://doi.org/10.1080/10106049.2017.1303089
- The impact of DEM resolution on landslide susceptibility modeling A. Wubalem https://doi.org/10.1007/s12517-022-10241-z
- Field Measurements of Passive Earth Forces in Steep, Shallow, Landslide‐Prone Areas A. Cislaghi et al. https://doi.org/10.1029/2017JF004557
- Preface: Landslide–transport network interactions F. Taylor et al. https://doi.org/10.5194/nhess-20-2585-2020
- WITHDRAWN: Urbanization and Land-Use change in the hill town of Nainital P. Jain et al. https://doi.org/10.1016/j.matpr.2021.01.914
- Using FloodRisk GIS freeware for uncertainty analysis of direct economic flood damages in Italy R. Albano et al. https://doi.org/10.1016/j.jag.2018.06.019
- Investigating the importance of recreational roads as a sediment source in a mountainous catchment using a fingerprinting procedure with different multivariate statistical techniques and a Bayesian un-mixing model K. Nosrati & A. Collins https://doi.org/10.1016/j.jhydrol.2018.12.019
- Evaluating the interaction between snowmelt runoff and road in the occurrence of hillslope instabilities affecting a landslide-prone mountain basin: A multi-modeling approach L. Mauri et al. https://doi.org/10.1016/j.jhydrol.2022.128200
- Assessment of sudden sediment source areas incurred by extreme rainfall in a mountainous environment: Approach using a subsurface hydrologic concept M. Kim et al. https://doi.org/10.1016/j.quaint.2018.10.031
- Forest harvesting is associated with increased landslide activity during an extreme rainstorm on Vancouver Island, Canada J. Goetz et al. https://doi.org/10.5194/nhess-15-1311-2015
- Generation of Homogeneous Slope Units Using a Novel Object-Oriented Multi-Resolution Segmentation Method Y. Li et al. https://doi.org/10.3390/w13233422
- Multi-Aspect Analysis of Object-Oriented Landslide Detection Based on an Extended Set of LiDAR-Derived Terrain Features K. Pawłuszek et al. https://doi.org/10.3390/ijgi8080321
- Multi-temporal modeling of road-induced overland flow alterations in a terraced landscape characterized by shallow landslides L. Mauri et al. https://doi.org/10.1016/j.iswcr.2021.07.004
- ENGINEERING-GEODESIC EQUIPMENT OF THE TERRITORY USED BY USING GEOINFORMATION SYSTEMS O. Alipbeki et al. https://doi.org/10.37884/3-2024/49
- Estimation of the susceptibility of a road network to shallow landslides with the integration of the sediment connectivity M. Bordoni et al. https://doi.org/10.5194/nhess-18-1735-2018
- Landslide-risk scenario of the Costa Viola mountain ridge (Calabria, Southern Italy) O. Terranova et al. https://doi.org/10.1080/17445647.2016.1195300
- The Integration of Ecosystem Services in Planning: An Evaluation of the Nutrient Retention Model Using InVEST Software S. Salata et al. https://doi.org/10.3390/land6030048
- Shallow Landslide Assessment Considering the Influence of Vegetation Cover T. Viet et al. https://doi.org/10.14481/jkges.2016.17.4.17
- The influence of land use and land cover change on landslide susceptibility in the Lower Mekong River Basin C. Dandridge et al. https://doi.org/10.1007/s11069-022-05604-4
50 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. https://doi.org/10.5194/nhess-24-3207-2024
- Anthropogenically induced landslides – A challenge for railway infrastructure in mountainous regions H. Laimer https://doi.org/10.1016/j.enggeo.2017.03.015
- Metrics for quantifying anthropogenic impacts on geomorphology: road networks G. Sofia et al. https://doi.org/10.1002/esp.3842
- ФОРМИРОВАНИЕ НАУЧНЫХ ОСНОВ ПРОЦЕССА ЗЕМЛЕУСТРОЙСТВА Ш. Еликбаева et al. https://doi.org/10.37884/1-2026/14
- 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. https://doi.org/10.5194/nhess-15-2091-2015
- Landslides in a changing climate S. Gariano & F. Guzzetti https://doi.org/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. https://doi.org/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. https://doi.org/10.3390/rs16081317
- Assessment of Land-Use and Land-Cover Change in Guangxi, China Y. Hu et al. https://doi.org/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 https://doi.org/10.1016/j.scitotenv.2023.164831
- Qualifying mass failures on loess gully sidewalls using laboratory experimentation X. Xu et al. https://doi.org/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. https://doi.org/10.1007/s11069-020-03899-9
- ECOLOGICAL-LANDSCAPE ZONING OF INFRASTRUCTURE SUSTAINABILITY IN AGRICULTURE O. Yernaz et al. https://doi.org/10.37884/2-2025/24
- A coupled hydrological-geotechnical framework for forecasting shallow landslide hazard—a case study in Halong City, Vietnam N. Ha et al. https://doi.org/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. https://doi.org/10.1016/j.geomorph.2019.02.005
- Geomorphometric characterisation of natural and anthropogenic land covers W. Cao et al. https://doi.org/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. https://doi.org/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. https://doi.org/10.1016/j.scitotenv.2016.06.124
- Including root reinforcement variability in a probabilistic 3D stability model A. Cislaghi et al. https://doi.org/10.1002/esp.4127
- Sensitivity analysis of automatic landslide mapping: numerical experiments towards the best solution K. Pawluszek et al. https://doi.org/10.1007/s10346-018-0986-0
- Implications of terrain resolution on modeling rainfall-triggered landslides using a TIN- based model E. Arnone et al. https://doi.org/10.1016/j.envsoft.2021.105067
- Evaluating scale effects of topographic variables in landslide susceptibility models using GIS-based machine learning techniques K. Chang et al. https://doi.org/10.1038/s41598-019-48773-2
- Machine learning based landslide assessment of the Belgrade metropolitan area: Pixel resolution effects and a cross-scaling concept U. Đurić et al. https://doi.org/10.1016/j.enggeo.2019.05.007
- A probabilistic multidimensional approach to quantify large wood recruitment from hillslopes in mountainous-forested catchments A. Cislaghi et al. https://doi.org/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. https://doi.org/10.1002/esp.3998
- Slope-Unit Scale Landslide Susceptibility Mapping Based on the Random Forest Model in Deep Valley Areas H. Deng et al. https://doi.org/10.3390/rs14174245
- Humans in the upstream can exacerbate climate change impacts on water birds’ habitat in the downstream S. Maleki et al. https://doi.org/10.1038/s41598-021-99822-8
- Presence-only approach to assess landslide triggering-thickness susceptibility: a test for the Mili catchment (north-eastern Sicily, Italy) L. Lombardo et al. https://doi.org/10.1007/s11069-016-2443-5
- Remote Sensing and Field Survey Data Integration to Investigate on the Evolution of the Coastal Area: The Case Study of Bagnara Calabra (Southern Italy) I. Alberico et al. https://doi.org/10.3390/rs14102459
- Exploring relationships between grid cell size and accuracy for debris-flow susceptibility models: a test in the Giampilieri catchment (Sicily, Italy) M. Cama et al. https://doi.org/10.1007/s12665-015-5047-6
- Human topographic signatures and derived geomorphic processes across landscapes P. Tarolli & G. Sofia https://doi.org/10.1016/j.geomorph.2015.12.007
- GIS-based landslide susceptibility model considering effective contributing area for drainage time A. Pradhan & Y. Kim https://doi.org/10.1080/10106049.2017.1303089
- The impact of DEM resolution on landslide susceptibility modeling A. Wubalem https://doi.org/10.1007/s12517-022-10241-z
- Field Measurements of Passive Earth Forces in Steep, Shallow, Landslide‐Prone Areas A. Cislaghi et al. https://doi.org/10.1029/2017JF004557
- Preface: Landslide–transport network interactions F. Taylor et al. https://doi.org/10.5194/nhess-20-2585-2020
- WITHDRAWN: Urbanization and Land-Use change in the hill town of Nainital P. Jain et al. https://doi.org/10.1016/j.matpr.2021.01.914
- Using FloodRisk GIS freeware for uncertainty analysis of direct economic flood damages in Italy R. Albano et al. https://doi.org/10.1016/j.jag.2018.06.019
- Investigating the importance of recreational roads as a sediment source in a mountainous catchment using a fingerprinting procedure with different multivariate statistical techniques and a Bayesian un-mixing model K. Nosrati & A. Collins https://doi.org/10.1016/j.jhydrol.2018.12.019
- Evaluating the interaction between snowmelt runoff and road in the occurrence of hillslope instabilities affecting a landslide-prone mountain basin: A multi-modeling approach L. Mauri et al. https://doi.org/10.1016/j.jhydrol.2022.128200
- Assessment of sudden sediment source areas incurred by extreme rainfall in a mountainous environment: Approach using a subsurface hydrologic concept M. Kim et al. https://doi.org/10.1016/j.quaint.2018.10.031
- Forest harvesting is associated with increased landslide activity during an extreme rainstorm on Vancouver Island, Canada J. Goetz et al. https://doi.org/10.5194/nhess-15-1311-2015
- Generation of Homogeneous Slope Units Using a Novel Object-Oriented Multi-Resolution Segmentation Method Y. Li et al. https://doi.org/10.3390/w13233422
- Multi-Aspect Analysis of Object-Oriented Landslide Detection Based on an Extended Set of LiDAR-Derived Terrain Features K. Pawłuszek et al. https://doi.org/10.3390/ijgi8080321
- Multi-temporal modeling of road-induced overland flow alterations in a terraced landscape characterized by shallow landslides L. Mauri et al. https://doi.org/10.1016/j.iswcr.2021.07.004
- ENGINEERING-GEODESIC EQUIPMENT OF THE TERRITORY USED BY USING GEOINFORMATION SYSTEMS O. Alipbeki et al. https://doi.org/10.37884/3-2024/49
- Estimation of the susceptibility of a road network to shallow landslides with the integration of the sediment connectivity M. Bordoni et al. https://doi.org/10.5194/nhess-18-1735-2018
- Landslide-risk scenario of the Costa Viola mountain ridge (Calabria, Southern Italy) O. Terranova et al. https://doi.org/10.1080/17445647.2016.1195300
- The Integration of Ecosystem Services in Planning: An Evaluation of the Nutrient Retention Model Using InVEST Software S. Salata et al. https://doi.org/10.3390/land6030048
- Shallow Landslide Assessment Considering the Influence of Vegetation Cover T. Viet et al. https://doi.org/10.14481/jkges.2016.17.4.17
- The influence of land use and land cover change on landslide susceptibility in the Lower Mekong River Basin C. Dandridge et al. https://doi.org/10.1007/s11069-022-05604-4
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