Mapping of earthquake hotspot and coldspot zones for identifying potential landslide hotspot areas in the Himalayan region
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Mapping of earthquake hotspot and coldspot zones for identifying potential landslide hotspot areas in the Himalayan region
Authors
Keywords
-
Journal
Bulletin of Engineering Geology and the Environment
Volume 81, Issue 7, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-06-05
DOI
10.1007/s10064-022-02761-5
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Effect of time and space partitioning strategies of samples on regional landslide susceptibility modelling
- (2021) Kirti Khanna et al. Landslides
- Torrential rainfall-induced landslide susceptibility assessment using machine learning and statistical methods of eastern Himalaya
- (2021) Indrajit Chowdhuri et al. Natural Hazards
- Spatial prediction of landslide susceptibility using projected storm rainfall and land use in Himalayan region
- (2021) Indrajit Chowdhuri et al. Bulletin of Engineering Geology and the Environment
- Evaluation of spatial probability of landslides using bivariate and multivariate approaches in the Goriganga valley, Kumaun Himalaya, India
- (2021) Sandeep Kumar et al. NATURAL HAZARDS
- Modelling multi-hazard threats to cultural heritage sites and environmental sustainability: The present and future scenarios
- (2021) Asish Saha et al. Journal of Cleaner Production
- Landslide susceptibility modeling in a complex mountainous region of Sikkim Himalaya using new hybrid data mining approach
- (2021) Abu Reza Md. Towfiqul Islam et al. Geocarto International
- Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran
- (2020) Alireza Arabameri et al. Remote Sensing
- Spatial Prediction of Landslide Susceptibility Based on GIS and Discriminant Functions
- (2020) Guirong Wang et al. ISPRS International Journal of Geo-Information
- GIS-Based Ensemble Soft Computing Models for Landslide Susceptibility Mapping
- (2020) Binh Thai Pham et al. ADVANCES IN SPACE RESEARCH
- Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment
- (2020) Dieu Tien Bui et al. CATENA
- A spatially explicit deep learning neural network model for the prediction of landslide susceptibility
- (2020) Dong Van Dao et al. CATENA
- Modeling landslide susceptibility using LogitBoost alternating decision trees and forest by penalizing attributes with the bagging ensemble
- (2020) Haoyuan Hong et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Rainfall Induced Landslide Studies in Indian Himalayan Region: A Critical Review
- (2020) Abhirup Dikshit et al. Applied Sciences-Basel
- Optimization of state-of-the-art fuzzy-metaheuristic ANFIS based machine learning models for flood susceptibility prediction mapping in the Middle Ganga Plain, India
- (2020) Aman Arora et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia
- (2020) Ahmed Mohamed Youssef et al. Geoscience Frontiers
- Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility
- (2020) Shahab S. Band et al. SENSORS
- Comparative analysis of gradient boosting algorithms for landslide susceptibility mapping
- (2020) Emrehan Kutlug Sahin Geocarto International
- Novel Credal Decision Tree-Based Ensemble Approaches for Predicting the Landslide Susceptibility
- (2020) Alireza Arabameri et al. Remote Sensing
- Novel Ensemble of Multivariate Adaptive Regression Spline with Spatial Logistic Regression and Boosted Regression Tree for Gully Erosion Susceptibility
- (2020) Paramita Roy et al. Remote Sensing
- Mapping the effect of climate change on community livelihood vulnerability in the riparian region of Gangatic Plain, India
- (2020) Manob Das et al. ECOLOGICAL INDICATORS
- An Ensemble Model for Landslide Susceptibility Mapping in a Forested Area
- (2019) Alireza Arabameri et al. Geocarto International
- Novel Entropy and Rotation Forest-Based Credal Decision Tree Classifier for Landslide Susceptibility Modeling
- (2019) Qingfeng He et al. Entropy
- Earthquake‐induced chains of geologic hazards: patterns, mechanisms, and impacts
- (2019) Xuanmei Fan et al. REVIEWS OF GEOPHYSICS
- Flash flood susceptibility modeling using an optimized fuzzy rule based feature selection technique and tree based ensemble methods
- (2019) Dieu Tien Bui et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms
- (2019) Pham et al. Sustainability
- Prediction Success of Machine Learning Methods for Flash Flood Susceptibility Mapping in the Tafresh Watershed, Iran
- (2019) Saeid Janizadeh et al. Sustainability
- Sedimentological characteristics and application of machine learning techniques for landslide susceptibility modelling along the highway corridor Nahan to Rajgarh (Himachal Pradesh), India
- (2019) Vijendra Kumar Pandey et al. CATENA
- Landslides detection through optimized hot spot analysis on persistent scatterers and distributed scatterers
- (2019) Ping Lu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Performance Evaluation of the GIS-Based Data-Mining Techniques Decision Tree, Random Forest, and Rotation Forest for Landslide Susceptibility Modeling
- (2019) Soyoung Park et al. Sustainability
- Flood susceptibility mapping by ensemble evidential belief function and binomial logistic regression model on river basin of eastern India
- (2019) Indrajit Chowdhuri et al. ADVANCES IN SPACE RESEARCH
- Geothermal sources and utilization practice in six countries along the southern part of the Pannonian basin
- (2019) Nina Rman et al. Environmental Earth Sciences
- Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia
- (2019) Omid Rahmati et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Spatial prediction of landslide-susceptible zones in El-Qaá area, Egypt, using an integrated approach based on GIS statistical analysis
- (2018) Sara M. Abuzied et al. Bulletin of Engineering Geology and the Environment
- A novel hybrid intelligent model of support vector machines and the MultiBoost ensemble for landslide susceptibility modeling
- (2018) Binh Thai Pham et al. Bulletin of Engineering Geology and the Environment
- Landslide hazard assessment in the Himalayas (Nepal and Bhutan) based on Earth-Observation data
- (2018) Christian Ambrosi et al. ENGINEERING GEOLOGY
- Modeling landslide susceptibility in data-scarce environments using optimized data mining and statistical methods
- (2018) Jung-Hyun Lee et al. GEOMORPHOLOGY
- Deep learning for sensor-based activity recognition: A Survey
- (2018) Jindong Wang et al. PATTERN RECOGNITION LETTERS
- A Novel Hybrid Approach of Bayesian Logistic Regression and Its Ensembles for Landslide Susceptibility Assessment
- (2018) Mousa Abedini et al. Geocarto International
- A New Method for Recognizing Cytokines Based on Feature Combination and a Support Vector Machine Classifier
- (2018) Zhe Yang et al. MOLECULES
- Comparing probabilistic and statistical methods in landslide susceptibility modeling in Rwanda/Centre-Eastern Africa
- (2018) Jean Baptiste Nsengiyumva et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Mapping landslide susceptibility with frequency ratio, statistical index, and weights of evidence models: a case study in northern Iran
- (2017) Samaneh Razavizadeh et al. Environmental Earth Sciences
- Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques
- (2017) Wei Chen et al. GEODERMA
- MugNet: Deep learning for hyperspectral image classification using limited samples
- (2017) Bin Pan et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China
- (2017) Wei Chen et al. Geomatics Natural Hazards & Risk
- Shallow Landslide Susceptibility Modeling Using the Data Mining Models Artificial Neural Network and Boosted Tree
- (2017) Hyun-Joo Oh et al. Applied Sciences-Basel
- A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)
- (2016) Binh Thai Pham et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Evaluation of four supervised learning methods for groundwater spring potential mapping in Khalkhal region (Iran) using GIS-based features
- (2016) Seyed Amir Naghibi et al. HYDROGEOLOGY JOURNAL
- Geospatial risk assessment of flash floods in Nuweiba area, Egypt
- (2016) Sara Abuzied et al. JOURNAL OF ARID ENVIRONMENTS
- Spatial prediction of rainfall-induced landslides for the Lao Cai area (Vietnam) using a hybrid intelligent approach of least squares support vector machines inference model and artificial bee colony optimization
- (2016) Dieu Tien Bui et al. Landslides
- Landslide susceptibility zonation mapping using frequency ratio and fuzzy gamma operator models in part of NH-39, Manipur, India
- (2016) Guru Balamurugan et al. NATURAL HAZARDS
- Landslide susceptibility modeling in a landslide prone area in Mazandarn Province, north of Iran: a comparison between GLM, GAM, MARS, and M-AHP methods
- (2016) Hamid Reza Pourghasemi et al. THEORETICAL AND APPLIED CLIMATOLOGY
- Geomorphic and geologic controls of geohazards induced by Nepals 2015 Gorkha earthquake
- (2015) J. S. Kargel et al. SCIENCE
- Landslide susceptibility mapping based on GIS and information value model for the Chencang District of Baoji, China
- (2014) Wei Chen et al. Arabian Journal of Geosciences
- A GIS-based extended fuzzy multi-criteria evaluation for landslide susceptibility mapping
- (2014) Bakhtiar Feizizadeh et al. COMPUTERS & GEOSCIENCES
- A Remote Sensing-Based Approach for Debris-Flow Susceptibility Assessment Using Artificial Neural Networks and Logistic Regression Modeling
- (2014) Racha Elkadiri et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Evaluation and comparison of landslide susceptibility mapping methods: a case study for the Ulus district, Bartın, northern Turkey
- (2014) Arif Mert Eker et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Landslide susceptibility mapping using multi-criteria evaluation techniques in Chittagong Metropolitan Area, Bangladesh
- (2014) Bayes Ahmed Landslides
- Rainfall thresholds for prediction of shallow landslides around Chamoli-Joshimath region, Garhwal Himalayas, India
- (2013) D. P. Kanungo et al. Landslides
- Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression
- (2013) Taskin Kavzoglu et al. Landslides
- Landslide inventory maps: New tools for an old problem
- (2012) Fausto Guzzetti et al. EARTH-SCIENCE REVIEWS
- Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya
- (2012) Krishna Chandra Devkota et al. NATURAL HAZARDS
- Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran
- (2012) Hamid Reza Pourghasemi et al. NATURAL HAZARDS
- Selecting and weighting spatial predictors for empirical modeling of landslide susceptibility in the Darjeeling Himalayas (India)
- (2011) Saibal Ghosh et al. GEOMORPHOLOGY
- Remote-sensing and GIS-based landslide-susceptibility zonation using the landslide index method in Igo River Basin, Eastern Himalaya, India
- (2011) Jawan SINGH Rawat et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Landslide susceptibility maps comparing frequency ratio and artificial neural networks: a case study from the Nepal Himalaya
- (2010) Chandra Prakash Poudyal et al. Environmental Earth Sciences
- Landslide susceptibility zonation of the Chamoli region, Garhwal Himalayas, using logistic regression model
- (2010) Shivani Chauhan et al. Landslides
- Improvement of statistical landslide susceptibility mapping by using spatial and global regression methods in the case of More and Romsdal (Norway)
- (2010) Arzu Erener et al. Landslides
- Impact of seismic factors on landslide susceptibility zonation: a case study in part of Indian Himalayas
- (2010) Naveen Pareek et al. Landslides
- 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
- The Application of Remote Sensing Technology to the Interpretation of Land Use for Rainfall-Induced Landslides Based on Genetic Algorithms and Artificial Neural Networks
- (2009) Yie-Ruey Chen et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Landslide susceptibility assessment of the Kraľovany–Liptovský Mikuláš railway case study
- (2009) Martin Bednarik et al. PHYSICS AND CHEMISTRY OF THE EARTH
- Landslide susceptibility mapping based on Support Vector Machine: A case study on natural slopes of Hong Kong, China
- (2008) X. Yao et al. GEOMORPHOLOGY
- GIS-based landslide susceptibility mapping for the 2005 Kashmir earthquake region
- (2008) Ulrich Kamp et al. GEOMORPHOLOGY
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 NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started