Application of Machine Learning to Debris Flow Susceptibility Mapping along the China–Pakistan Karakoram Highway
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Application of Machine Learning to Debris Flow Susceptibility Mapping along the China–Pakistan Karakoram Highway
Authors
Keywords
-
Journal
Remote Sensing
Volume 12, Issue 18, Pages 2933
Publisher
MDPI AG
Online
2020-09-10
DOI
10.3390/rs12182933
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- AI-based identification of low-frequency debris flow catchments in the Bailong River basin, China
- (2020) Yan Zhao et al. GEOMORPHOLOGY
- Effectiveness analysis of the prediction of regional debris flow susceptibility in post-earthquake and drought site
- (2020) Ning-sheng Chen et al. Journal of Mountain Science
- Comparison of Different Machine Learning Methods for Debris Flow Susceptibility Mapping: A Case Study in the Sichuan Province, China
- (2020) Ke Xiong et al. Remote Sensing
- Rockfall and Debris Flow Hazard Assessment in the SW Escarpment of Montagna del Morrone Ridge (Abruzzo, Central Italy)
- (2020) Calista Monia et al. Water
- Analysis of Landslide Movements Using Interferometric Synthetic Aperture Radar: A Case Study in Hunza-Nagar Valley, Pakistan
- (2020) Mohib Ur Rehman et al. Remote Sensing
- Debris Flow Susceptibility Assessment Using the Integrated Random Forest Based Steady-State Infinite Slope Method: A Case Study in Changbai Mountain, China
- (2020) Alu Si et al. Water
- Assessment of post-wildfire debris flow occurrence using classifier tree
- (2019) Priscilla Addison et al. Geomatics Natural Hazards & Risk
- A Method for Improving Controlling Factors Based on Information Fusion for Debris Flow Susceptibility Mapping: A Case Study in Jilin Province, China
- (2019) Qiang Dou et al. Entropy
- Landslide Susceptibility Mapping of Karakorum Highway Combined with the Application of SBAS-InSAR Technology
- (2019) Fumeng Zhao et al. SENSORS
- Assessing Susceptibility of Debris Flow in Southwest China Using Gradient Boosting Machine
- (2019) Baofeng Di et al. Scientific Reports
- Debris Flow Susceptibility Mapping Using Machine-Learning Techniques in Shigatse Area, China
- (2019) Yonghong Zhang et al. Remote Sensing
- Susceptibility Assessments and Validations of Debris-Flow Events in Meizoseismal Areas: Case Study in China’s Longxi River Watershed
- (2019) Saier Wu et al. Natural Hazards Review
- A Novel Ensemble Approach for Landslide Susceptibility Mapping (LSM) in Darjeeling and Kalimpong Districts, West Bengal, India
- (2019) Jagabandhu Roy et al. Remote Sensing
- A review of statistically-based landslide susceptibility models
- (2018) Paola Reichenbach et al. EARTH-SCIENCE REVIEWS
- Debris flow susceptibility assessment based on an empirical approach in the central region of South Korea
- (2018) Sinhang Kang et al. GEOMORPHOLOGY
- Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia
- (2018) Aril Aditian et al. GEOMORPHOLOGY
- Landslide initiation and runout susceptibility modeling in the context of hill cutting and rapid urbanization: a combined approach of weights of evidence and spatial multi-criteria
- (2017) Md. Shahinoor Rahman et al. Journal of Mountain Science
- Machine Learning Based Predictive Modeling of Debris Flow Probability Following Wildfire in the Intermountain Western United States
- (2017) Ashley N. Kern et al. Mathematical Geosciences
- Debris Flow Susceptibility Assessment in the Wudongde Dam Area, China Based on Rock Engineering System and Fuzzy C-Means Algorithm
- (2017) Yanyan Li et al. Water
- Assessment of the debris-flow susceptibility in tropical mountains using clast distribution patterns
- (2016) Laís de Carvalho Faria Lima Lopes et al. GEOMORPHOLOGY
- A new hierarchical Bayesian approach to analyse environmental and climatic influences on debris flow occurrence
- (2015) Vincent Jomelli et al. GEOMORPHOLOGY
- A rapid method to identify the potential of debris flow development induced by rainfall in the catchments of the Wenchuan earthquake area
- (2015) Wei Zhou et al. Landslides
- Debris flow susceptibility assessment using a probabilistic approach: A case study in the Longchi area, Sichuan province, China
- (2014) Ming Chang et al. Journal of Mountain Science
- Debris-flow susceptibility assessment at regional scale: Validation on an alpine environment
- (2014) Francesco Bregoli et al. Landslides
- Debris-flow susceptibility analysis using fluvio-morphological parameters and data mining: application to the Central-Eastern Pyrenees
- (2013) G. G. Chevalier et al. NATURAL HAZARDS
- Debris-flow susceptibility of upland catchments
- (2013) Mélanie Bertrand et al. NATURAL HAZARDS
- Assessment of debris flow hazards using a Bayesian Network
- (2012) Wan-jie Liang et al. GEOMORPHOLOGY
- Susceptibility analysis of large-scale debris flows based on combination weighting and extension methods
- (2012) Wen Zhang et al. NATURAL HAZARDS
- Guidelines for landslide susceptibility, hazard and risk zoning for land use planning
- (2008) Robin Fell et al. ENGINEERING GEOLOGY
- GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): Comparisons of results and confirmations
- (2007) Ali Yalcin CATENA
- Comparing models of debris-flow susceptibility in the alpine environment
- (2007) Alberto Carrara et al. GEOMORPHOLOGY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search