Landslide susceptibility and influencing factors analysis in Rwanda
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Landslide susceptibility and influencing factors analysis in Rwanda
Authors
Keywords
-
Journal
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-12-16
DOI
10.1007/s10668-019-00557-4
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Rainfall timing: variation, characteristics, coherence, and interrelationships in Nigeria
- (2019) Omon A. Obarein et al. THEORETICAL AND APPLIED CLIMATOLOGY
- Estimating landslides vulnerability in Rwanda using analytic hierarchy process and geographic information system
- (2019) Lamek Nahayo et al. Integrated Environmental Assessment and Management
- Soil erosion assessment using RUSLE model and its validation by FR probability model
- (2019) Amiya Gayen et al. Geocarto International
- An Ensemble Model for Landslide Susceptibility Mapping in a Forested Area
- (2019) Alireza Arabameri et al. Geocarto International
- GIS-based landslide susceptibility mapping using numerical risk factor bivariate model and its ensemble with linear multivariate regression and boosted regression tree algorithms
- (2019) Alireza Arabameri et al. Journal of Mountain Science
- Landslide Susceptibility Mapping Based on Random Forest and Boosted Regression Tree Models, and a Comparison of Their Performance
- (2019) Soyoung Park et al. Applied Sciences-Basel
- Comparative Analysis of Deterministic and Semiquantitative Approaches for Shallow Landslide Risk Modeling in Rwanda
- (2019) Jean Baptiste Nsengiyumva et al. RISK ANALYSIS
- Flood susceptibility modeling and hazard perception in Rwanda
- (2019) Richard Mind'je et al. International Journal of Disaster Risk Reduction
- Spatial prediction of landslide susceptibility using data mining-based kernel logistic regression, naive Bayes and RBFNetwork models for the Long County area (China)
- (2018) Wei Chen et al. Bulletin of Engineering Geology and the Environment
- GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method
- (2018) Wei Chen et al. CATENA
- A data-based landslide susceptibility map of Africa
- (2018) Jente Broeckx et al. EARTH-SCIENCE REVIEWS
- The size, distribution, and mobility of landslides caused by the 2015 M w 7.8 Gorkha earthquake, Nepal
- (2018) Kevin Roback et al. GEOMORPHOLOGY
- Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping
- (2018) Hossein Shafizadeh-Moghadam et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- Water and soil loss from landslide deposits as a function of gravel content in the Wenchuan earthquake area, China, revealed by artificial rainfall simulations
- (2018) Fengling Gan et al. PLoS One
- Gender, age and circumstances analysis of flood and landslide fatalities in Italy
- (2018) Paola Salvati et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China
- (2018) Wei Chen et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment
- (2018) Wei Chen et al. Geocarto International
- Landslide Susceptibility Assessment Using Spatial Multi-Criteria Evaluation Model in Rwanda
- (2018) Jean Nsengiyumva et al. International Journal of Environmental Research and Public Health
- Spatial modelling of gully erosion using evidential belief function, logistic regression, and a new ensemble of evidential belief function-logistic regression algorithm
- (2018) Alireza Arabameri et al. LAND DEGRADATION & DEVELOPMENT
- A novel hybrid approach for landslide susceptibility mapping integrating analytical hierarchy process and normalized frequency ratio methods with the cloud model
- (2018) Fei Yan et al. GEOMORPHOLOGY
- A novel hybrid integration model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area (China)
- (2017) Haoyuan Hong et al. Environmental Earth Sciences
- Soil water infiltration affected by topsoil thickness in row crop and switchgrass production systems
- (2017) Syaharudin Zaibon et al. GEODERMA
- Comparative evaluation of geological disaster susceptibility using multi-regression methods and spatial accuracy validation
- (2017) Weiguo Jiang et al. Journal of Geographical Sciences
- A heuristic approach to global landslide susceptibility mapping
- (2017) Thomas Stanley et al. NATURAL HAZARDS
- Landslide susceptibility mapping using random forest and boosted tree models in Pyeong-Chang, Korea
- (2017) Jeong-Cheol Kim et al. Geocarto International
- Spatial prediction of flood-susceptible areas using frequency ratio and maximum entropy models
- (2017) Safura Siahkamari et al. Geocarto International
- Landslide susceptibility assessment using evidential belief function, certainty factor and frequency ratio model at Baxie River basin, NW China
- (2017) Zhuo Chen et al. Geocarto International
- Modeling Rainfall-Runoff Response to Land Use and Land Cover Change in Rwanda (1990–2016)
- (2017) Fidele Karamage et al. Water
- Comparison of a logistic regression and Naïve Bayes classifier in landslide susceptibility assessments: The influence of models complexity and training dataset size
- (2016) Paraskevas Tsangaratos et al. CATENA
- Shallow landslide susceptibility assessment in a semiarid environment — A Quaternary catchment of KwaZulu-Natal, South Africa
- (2016) Clarice Romer et al. ENGINEERING GEOLOGY
- Landslide susceptibility mapping based on GIS and support vector machine models for the Qianyang County, China
- (2016) Wei Chen et al. Environmental Earth Sciences
- GIS based frequency ratio and index of entropy models to landslide susceptibility mapping (Daguan, China)
- (2016) Qiqing Wang et al. Environmental Earth Sciences
- Landslide susceptibility mapping using analytical hierarchy process (AHP) in Tehri reservoir rim region, Uttarakhand
- (2016) Rohan Kumar et al. JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA
- A modified frequency ratio method for landslide susceptibility assessment
- (2016) Langping Li et al. Landslides
- Do landslides follow landslides? Insights in path dependency from a multi-temporal landslide inventory
- (2016) Jalal Samia et al. Landslides
- Impact of DEM-derived factors and analytical hierarchy process on landslide susceptibility mapping in the region of Rożnów Lake, Poland
- (2016) Kamila Pawluszek et al. NATURAL HAZARDS
- Landslide susceptibility mapping of the Sera River Basin using logistic regression model
- (2016) Nussaïbah B. Raja et al. NATURAL HAZARDS
- Investigation of automatic feature weighting methods (Fisher, Chi-square and Relief-F) for landslide susceptibility mapping
- (2016) Emrehan Kutlug Sahin et al. Geocarto International
- Understanding the Spatial Temporal Vegetation Dynamics in Rwanda
- (2016) Felix Ndayisaba et al. Remote Sensing
- Flash Flood Hazard Susceptibility Mapping Using Frequency Ratio and Statistical Index Methods in Coalmine Subsidence Areas
- (2016) Chen Cao et al. Sustainability
- Extent of Cropland and Related Soil Erosion Risk in Rwanda
- (2016) Fidele Karamage et al. Sustainability
- Landslide susceptibility mapping and factor effect analysis using frequency ratio in a catchment scale: a case study from Garuwa sub-basin, East Nepal
- (2015) Prabin Kayastha Arabian Journal of Geosciences
- Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio, logistic regression, and fuzzy logic methods at the central Zab basin, Iran
- (2015) Himan Shahabi et al. Environmental Earth Sciences
- Determining the bioclimatic comfort in Kastamonu City
- (2015) Mehmet Cetin ENVIRONMENTAL MONITORING AND ASSESSMENT
- GIS-based frequency ratio and logistic regression modelling for landslide susceptibility mapping of Debre Sina area in central Ethiopia
- (2015) Matebie Meten et al. Journal of Mountain Science
- Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree
- (2015) Dieu Tien Bui et al. Landslides
- The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes
- (2015) Chris Funk et al. Scientific Data
- Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions
- (2015) Tomislav Hengl et al. PLoS One
- Optimization of Causative Factors for Landslide Susceptibility Evaluation Using Remote Sensing and GIS Data in Parts of Niigata, Japan
- (2015) Jie Dou et al. PLoS One
- The Influence of Land Use Change on Landslide Susceptibility Zonation: The Briga Catchment Test Site (Messina, Italy)
- (2014) P. Reichenbach et al. ENVIRONMENTAL MANAGEMENT
- GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran
- (2014) A. Jaafari et al. International Journal of Environmental Science and Technology
- Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS
- (2014) Mahyat Shafapour Tehrany et al. JOURNAL OF HYDROLOGY
- Landslide susceptibility mapping using multi-criteria evaluation techniques in Chittagong Metropolitan Area, Bangladesh
- (2014) Bayes Ahmed Landslides
- Optimization of landslide conditioning factors using very high-resolution airborne laser scanning (LiDAR) data at catchment scale
- (2014) Mustafa Neamah Jebur et al. REMOTE SENSING OF ENVIRONMENT
- Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya
- (2013) Amar Deep Regmi et al. Arabian Journal of Geosciences
- Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
- (2012) Carsten F. Dormann et al. ECOGRAPHY
- Landslide hazard mapping using GIS and weight of evidence model in Qingshui River watershed of 2008 Wenchuan earthquake struck region
- (2012) Chong Xu et al. Journal of Earth Science
- Statistical and environmental analyses for the definition of a regional rainfall threshold system for landslide triggering in Tuscany (Italy)
- (2012) Ascanio Rosi et al. Journal of Geographical Sciences
- Landslide inventory map for the Briga and the Giampilieri catchments, NE Sicily, Italy
- (2012) F. Ardizzone et al. Journal of Maps
- Landslide susceptibility mapping using the weight of evidence method in the Tinau watershed, Nepal
- (2012) Prabin Kayastha et al. NATURAL HAZARDS
- Frequency ratio model based landslide susceptibility mapping in lower Mae Chaem watershed, Northern Thailand
- (2011) N. Intarawichian et al. Environmental Earth Sciences
- An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia
- (2011) Masoud Bakhtyari Kia et al. Environmental Earth Sciences
- Bayesian belief network learning algorithms for modeling contextual relationships in natural imagery: a comparative study
- (2010) Mozaherul Hoque Abul Hasanat et al. ARTIFICIAL INTELLIGENCE REVIEW
- Understanding global natural disasters and the role of earth observation
- (2010) Huadong Guo International Journal of Digital Earth
- Quantifying the role of vegetation in slope stability: A case study in Tuscany (Italy)
- (2009) M. Schwarz et al. ECOLOGICAL ENGINEERING
- Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models
- (2009) Biswajeet Pradhan et al. Environmental Earth Sciences
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started