Landslide susceptibility mapping using multiscale sampling strategy and convolutional neural network: A case study in Jiuzhaigou region
出版年份 2020 全文链接
标题
Landslide susceptibility mapping using multiscale sampling strategy and convolutional neural network: A case study in Jiuzhaigou region
作者
关键词
Convolutional neural network, Deep learning, Landslide susceptibility, Machine learning, Multiscale sampling, Jiuzhaigou
出版物
CATENA
Volume 195, Issue -, Pages 104851
出版商
Elsevier BV
发表日期
2020-08-19
DOI
10.1016/j.catena.2020.104851
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning
- (2020) Jie Dou et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area
- (2020) Viet-Ha Nhu et al. CATENA
- 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
- Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping
- (2020) Zhice Fang et al. COMPUTERS & GEOSCIENCES
- Spatial predicting of flood potential areas using novel hybridizations of fuzzy decision-making, bivariate statistics, and machine learning
- (2020) Romulus Costache et al. JOURNAL OF HYDROLOGY
- Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan
- (2019) Jie Dou et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Earthquake‐induced chains of geologic hazards: patterns, mechanisms, and impacts
- (2019) Xuanmei Fan et al. REVIEWS OF GEOPHYSICS
- Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms
- (2019) Qingfeng He et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China
- (2019) Yi Wang et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran
- (2019) Alireza Arabameri 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
- Deep learning in remote sensing applications: A meta-analysis and review
- (2019) Lei Ma et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Torrential rainfall-triggered shallow landslide characteristics and susceptibility assessment using ensemble data-driven models in the Dongjiang Reservoir Watershed, China
- (2019) Jie Dou et al. NATURAL HAZARDS
- Semantic Segmentation of Urban Buildings from VHR Remote Sensing Imagery Using a Deep Convolutional Neural Network
- (2019) Yaning Yi et al. Remote Sensing
- New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed
- (2019) Dieu Tien Bui et al. Forests
- Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan
- (2019) Jie Dou et al. Landslides
- Identification of torrential valleys using GIS and a novel hybrid integration of artificial intelligence, machine learning and bivariate statistics
- (2019) Romulus Costache 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 hazard map in southwest Sweden using artificial neural network
- (2019) Abbas Abbaszadeh Shahri et al. CATENA
- A review of statistically-based landslide susceptibility models
- (2018) Paola Reichenbach et al. EARTH-SCIENCE REVIEWS
- Seismogenic fault and topography control on the spatial patterns of landslides triggered by the 2017 Jiuzhaigou earthquake
- (2018) Chun-hao Wu et al. Journal of Mountain Science
- Implementing landslide path dependency in landslide susceptibility modelling
- (2018) Jalal Samia et al. Landslides
- Coseismic landslides triggered by the 8th August 2017 Ms 7.0 Jiuzhaigou earthquake (Sichuan, China): factors controlling their spatial distribution and implications for the seismogenic blind fault identification
- (2018) Xuanmei Fan et al. Landslides
- Inventory and Spatial Distribution of Landslides Triggered by the 8th August 2017 MW 6.5 Jiuzhaigou Earthquake, China
- (2018) Yingying Tian et al. Journal of Earth Science
- Characterization and quantification of path dependency in landslide susceptibility
- (2017) Jalal Samia et al. GEOMORPHOLOGY
- Accurate Object Localization in Remote Sensing Images Based on Convolutional Neural Networks
- (2017) Yang Long et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- A new deep convolutional neural network for fast hyperspectral image classification
- (2017) M.E. Paoletti et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Semantic labeling in very high resolution images via a self-cascaded convolutional neural network
- (2017) Yongcheng Liu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Presentation and Analysis of a Worldwide Database of Earthquake-Induced Landslide Inventories
- (2017) Hakan Tanyaş et al. JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
- Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources
- (2017) Xiao Xiang Zhu et al. IEEE Geoscience and Remote Sensing Magazine
- Exploring discrepancies between quantitative validation results and the geomorphic plausibility of statistical landslide susceptibility maps
- (2016) Stefan Steger et al. GEOMORPHOLOGY
- Learning multiscale and deep representations for classifying remotely sensed imagery
- (2016) Wenzhi Zhao et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- 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
- Database and spatial distribution of landslides triggered by the Lushan, China Mw 6.6 earthquake of 20 April 2013
- (2015) Chong Xu et al. GEOMORPHOLOGY
- Global research trends in landslides during 1991–2014: a bibliometric analysis
- (2015) Xueling Wu et al. Landslides
- 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
- Geomorphic and geologic controls of geohazards induced by Nepals 2015 Gorkha earthquake
- (2015) J. S. Kargel et al. SCIENCE
- An expert knowledge-based approach to landslide susceptibility mapping using GIS and fuzzy logic
- (2014) A-Xing Zhu et al. GEOMORPHOLOGY
- Karst collapse susceptibility mapping considering peak ground acceleration in a rapidly growing urban area
- (2013) Kyriaki Papadopoulou-Vrynioti et al. ENGINEERING GEOLOGY
- An assessment on the use of bivariate, multivariate and soft computing techniques for collapse susceptibility in GIS environ
- (2013) IŞIK YILMAZ et al. Journal of Earth System Science
- Debris flows and their toll on human life: a global analysis of debris-flow fatalities from 1950 to 2011
- (2013) Casey A. Dowling et al. NATURAL HAZARDS
- Application of the analytical hierarchy process (AHP) for landslide susceptibility mapping: A case study from the Tinau watershed, west Nepal
- (2012) P. Kayastha et al. COMPUTERS & GEOSCIENCES
- A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS
- (2012) Biswajeet Pradhan COMPUTERS & GEOSCIENCES
- Landslide susceptibility assessment using SVM machine learning algorithm
- (2011) Miloš Marjanović et al. ENGINEERING GEOLOGY
- GIS-based assessment of landslide susceptibility on the base of the Weights-of-Evidence model
- (2011) Bettina Neuhäuser et al. Landslides
- Landslide susceptibility mapping in Injae, Korea, using a decision tree
- (2010) Young-Kwang Yeon et al. ENGINEERING GEOLOGY
- Landslide susceptibility zonation of the Chamoli region, Garhwal Himalayas, using logistic regression model
- (2010) Shivani Chauhan et al. Landslides
- Weights-of-evidence model applied to landslide susceptibility mapping in a tropical hilly area
- (2010) Biswajeet Pradhan et al. Geomatics Natural Hazards & Risk
- The Wenchuan Earthquake (May 12, 2008), Sichuan Province, China, and resulting geohazards
- (2009) Peng Cui et al. NATURAL HAZARDS
- Guidelines for landslide susceptibility, hazard and risk zoning for land use planning
- (2008) Robin Fell et al. ENGINEERING GEOLOGY
- Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview
- (2008) Cees J. van Westen et al. ENGINEERING GEOLOGY
- GIS-based landslide susceptibility mapping for the 2005 Kashmir earthquake region
- (2008) Ulrich Kamp et al. GEOMORPHOLOGY
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