The influence of sampling on landslide susceptibility mapping using artificial neural networks
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Title
The influence of sampling on landslide susceptibility mapping using artificial neural networks
Authors
Keywords
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Journal
Geocarto International
Volume -, Issue -, Pages 1-23
Publisher
Informa UK Limited
Online
2022-11-06
DOI
10.1080/10106049.2022.2144475
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Note: Only part of the references are listed.- Influence of sampling design on landslide susceptibility modeling in lithologically heterogeneous areas
- (2022) Andrei Dornik et al. Scientific Reports
- A Novel Intelligent Method Based on the Gaussian Heatmap Sampling Technique and Convolutional Neural Network for Landslide Susceptibility Mapping
- (2022) Yibing Xiong et al. Remote Sensing
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- (2021) Jesudasan Jacinth Jennifer et al. Geocarto International
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- (2021) A. Novellino et al. CATENA
- Artificial neural networks applied to landslide susceptibility: The effect of sampling areas on model capacity for generalization and extrapolation
- (2021) Samuel Gameiro et al. APPLIED GEOGRAPHY
- Attribute selection using correlations and principal components for artificial neural networks employment for landslide susceptibility assessment
- (2020) Luísa Vieira Lucchese et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- A hybrid model considering spatial heterogeneity for landslide susceptibility mapping in Zhejiang Province, China
- (2020) Yumiao Wang et al. CATENA
- Machine learning ensemble modelling as a tool to improve landslide susceptibility mapping reliability
- (2020) Mariano Di Napoli et al. Landslides
- Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility
- (2019) Abolfazl Jaafari et al. CATENA
- Exploring the effects of the design and quantity of absence data on the performance of random forest-based landslide susceptibility mapping
- (2019) Haoyuan Hong et al. CATENA
- Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China
- (2019) Yi Wang et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Uncertainties of prediction accuracy in shallow landslide modeling: Sample size and raster resolution
- (2019) Ataollah Shirzadi et al. CATENA
- Landslide Susceptibility Mapping of Karakorum Highway Combined with the Application of SBAS-InSAR Technology
- (2019) Fumeng Zhao et al. SENSORS
- Landslide recognition and mapping in a mixed forest environment from airborne LiDAR data
- (2019) Tolga Görüm ENGINEERING GEOLOGY
- A novel voting ensemble model for spatial prediction of landslides using GIS
- (2019) Shruti Sachdeva et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Random forest and artificial neural networks in landslide susceptibility modeling: a case study of the Fão River Basin, Southern Brazil
- (2019) Guilherme Garcia de Oliveira et al. NATURAL HAZARDS
- Artificial neural network ensembles applied to the mapping of landslide susceptibility
- (2019) L. Bragagnolo et al. CATENA
- Application of convolutional neural networks featuring Bayesian optimization for landslide susceptibility assessment
- (2019) Maher Ibrahim Sameen et al. CATENA
- A similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods
- (2019) A-Xing Zhu et al. CATENA
- Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)
- (2018) Haoyuan Hong et al. CATENA
- Application of fuzzy weight of evidence and data mining techniques in construction of flood susceptibility map of Poyang County, China
- (2018) Haoyuan Hong et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Flood susceptibility mapping using novel ensembles of adaptive neuro fuzzy inference system and metaheuristic algorithms
- (2018) Seyed Vahid Razavi Termeh et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Comparison of the presence-only method and presence-absence method in landslide susceptibility mapping
- (2018) A-Xing Zhu et al. CATENA
- Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility
- (2018) Wei Chen et al. CATENA
- A ROC analysis-based classification method for landslide susceptibility maps
- (2018) Isidro Cantarino et al. Landslides
- Landslide susceptibility assessment at the Wuning area, China: a comparison between multi-criteria decision making, bivariate statistical and machine learning methods
- (2018) Haoyuan Hong et al. NATURAL HAZARDS
- Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques
- (2017) Wei Chen et al. GEODERMA
- A spatio-temporal landslide inventory for the NW of Spain: BAPA database
- (2017) Pablo Valenzuela et al. GEOMORPHOLOGY
- Spatial prediction of landslide susceptibility using an adaptive neuro-fuzzy inference system combined with frequency ratio, generalized additive model, and support vector machine techniques
- (2017) Wei Chen et al. GEOMORPHOLOGY
- Spatial prediction of wildfire probability in the Hyrcanian ecoregion using evidential belief function model and GIS
- (2017) M. H. Nami et al. International Journal of Environmental Science and Technology
- Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)
- (2017) Bahareh Kalantar et al. Geomatics Natural Hazards & Risk
- Landslide susceptibility mapping using an ensemble statistical index (Wi) and adaptive neuro-fuzzy inference system (ANFIS) model at Alborz Mountains (Iran)
- (2016) Iman Nasiri Aghdam et al. Environmental Earth Sciences
- Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines
- (2015) Haoyuan Hong et al. CATENA
- Simplifying artificial neural network models of river basin behaviour by an automated procedure for input variable selection
- (2015) Guilherme G. Oliveira et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- 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
- Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia
- (2015) Ahmed Mohamed Youssef et al. Landslides
- A comparative study of landslide susceptibility mapping using landslide susceptibility index and artificial neural networks in the Krios River and Krathis River catchments (northern Peloponnesus, Greece)
- (2014) Christos Polykretis et al. Bulletin of Engineering Geology and the Environment
- 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
- 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
- Statistical modelling of Europe-wide landslide susceptibility using limited landslide inventory data
- (2011) M. Van Den Eeckhaut et al. Landslides
- Analysis of landslide inventories for accurate prediction of debris-flow source areas
- (2010) Jan Blahut et al. GEOMORPHOLOGY
- Influence of sample and terrain unit on landslide susceptibility assessment at La Pobla de Lillet, Eastern Pyrenees, Spain
- (2009) Cristina Baeza et al. Environmental Earth Sciences
- Landslide susceptibility mapping using geological data, a DEM from ASTER images and an Artificial Neural Network (ANN)
- (2009) Daisaku Kawabata et al. GEOMORPHOLOGY
- Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia
- (2009) Biswajeet Pradhan et al. Landslides
- Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat—Turkey)
- (2008) Işık Yilmaz COMPUTERS & GEOSCIENCES
- GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): Comparisons of results and confirmations
- (2007) Ali Yalcin CATENA
- Landslide susceptibility mapping for a part of tectonic Kelkit Valley (Eastern Black Sea region of Turkey)
- (2007) Hakan A. Nefeslioglu et al. GEOMORPHOLOGY
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