标题
Landslide Susceptibility Mapping with Deep Learning Algorithms
作者
关键词
-
出版物
Sustainability
Volume 14, Issue 3, Pages 1734
出版商
MDPI AG
发表日期
2022-02-11
DOI
10.3390/su14031734
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。- Review of landslide susceptibility assessment based on knowledge mapping
- (2022) Chen Yong et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Image Classification for the Automatic Feature Extraction in Human Worn Fashion Data
- (2021) Stefan Rohrmanstorfer et al. Mathematics
- Evaluating landslide susceptibility based on cluster analysis, probabilistic methods, and artificial neural networks
- (2020) Rui-Xuan Tang et al. Bulletin of Engineering Geology and the Environment
- 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
- Assessment of landslide susceptibility at a local spatial scale applying the multi-criteria analysis and GIS: a case study from Slovakia
- (2020) Jana Vojteková et al. Geomatics Natural Hazards & Risk
- A Holistic Analysis for Landslide Susceptibility Mapping Applying Geographic Object-Based Random Forest: A Comparison between Protected and Non-Protected Forests
- (2020) Zeinab Shirvani Remote Sensing
- Landslide reconstruction using seismic signal characteristics and numerical simulations: Case study of the 2017 “6.24” Xinmo landslide
- (2020) Yan Yan et al. ENGINEERING GEOLOGY
- Respective influence of vertical mountain differentiation on debris flow occurrence in the Upper Min River, China
- (2020) Mingtao Ding et al. Scientific Reports
- National-Scale Landslide Susceptibility Mapping in Austria Using Fuzzy Best-Worst Multi-Criteria Decision-Making
- (2020) Meisam Moharrami et al. ISPRS International Journal of Geo-Information
- Space-Time Patterns, Change, and Propagation of COVID-19 Risk Relative to the Intervention Scenarios in Bangladesh
- (2020) Arif Masrur et al. International Journal of Environmental Research and Public Health
- Dynamic Vulnerability Analysis of Mountain Settlements Exposed to Geological Hazards: A Case Study of the Upper Min River, China
- (2020) Mingtao Ding et al. Advances in Civil Engineering
- Landslide susceptibility mapping using multiscale sampling strategy and convolutional neural network: A case study in Jiuzhaigou region
- (2020) Yaning Yi et al. CATENA
- Pearson Correlation-Based Feature Selection for Document Classification Using Balanced Training
- (2020) Inzamam Mashood Nasir et al. SENSORS
- Susceptibility Mapping on Urban Landslides Using Deep Learning Approaches in Mt. Umyeon
- (2020) Sunmin Lee et al. Applied Sciences-Basel
- Improving Accuracy and Generalization Performance of Small-Size Recurrent Neural Networks Applied to Short-Term Load Forecasting
- (2020) Pavel V. Matrenin et al. Mathematics
- Landslide Susceptibility Mapping using Naïve Bayes and Bayesian Network Models in Umyeonsan, Korea
- (2019) Sunmin Lee et al. Geocarto International
- The role of active faults and sliding mechanism analysis of the 2017 Maoxian postseismic landslide in Sichuan, China
- (2019) Chongjian Shao et al. Bulletin of Engineering Geology and the Environment
- Signal Status Recognition Based on 1DCNN and Its Feature Extraction Mechanism Analysis
- (2019) Shuzhan Huang et al. SENSORS
- A novel feature transform framework using deep neural network for multimodal floor plan retrieval
- (2019) D. Sharma et al. International Journal on Document Analysis and Recognition
- Landslide susceptibility and influencing factors analysis in Rwanda
- (2019) Richard Mind’je et al. ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
- Simulating the failure process of the Xinmo landslide using discontinuous deformation analysis
- (2018) Kun-Ting Chen et al. ENGINEERING GEOLOGY
- Buckling deformations at the 2017 Xinmo landslide site and nearby slopes, Maoxian, Sichuan, China
- (2018) Siyuan Zhao et al. ENGINEERING GEOLOGY
- Landslide Susceptibility Mapping using Relative Frequency and Predictor Rate along Araniko Highway
- (2018) Tri Dev Acharya et al. KSCE Journal of Civil Engineering
- LogLoss-BERAF: An ensemble-based machine learning model for constructing highly accurate diagnostic sets of methylation sites accounting for heterogeneity in prostate cancer
- (2018) K. Babalyan et al. PLoS One
- 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
- Deep Recurrent Neural Networks for Hyperspectral Image Classification
- (2017) Lichao Mou 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
- Geometrical feature analysis and disaster assessment of the Xinmo landslide based on remote sensing data
- (2017) Jian-rong Fan et al. Journal of Mountain Science
- Characteristics and triggering mechanism of Xinmo landslide on 24 June 2017 in Sichuan, China
- (2017) Li-jun Su et al. Journal of Mountain Science
- Numerical modeling and dynamic analysis of the 2017 Xinmo landslide in Maoxian County, China
- (2017) Chao-jun Ouyang et al. Journal of Mountain Science
- Mechanism of the catastrophic June 2017 landslide at Xinmo Village, Songping River, Sichuan Province, China
- (2017) Yunsheng Wang et al. Landslides
- Failure mechanism and kinematics of the deadly June 24th 2017 Xinmo landslide, Maoxian, Sichuan, China
- (2017) Xuanmei Fan et al. Landslides
- The Maoxian landslide as seen from space: detecting precursors of failure with Sentinel-1 data
- (2017) Emanuele Intrieri et al. Landslides
- A heuristic approach to global landslide susceptibility mapping
- (2017) Thomas Stanley et al. NATURAL HAZARDS
- The catastrophic landside in Maoxian County, Sichuan, SW China, on June 24, 2017
- (2017) Junling Qiu et al. NATURAL HAZARDS
- The June 2017 Maoxian landslide: Geological disaster in an earthquake area after the Wenchuan Ms 8.0 earthquake
- (2017) YuePing Yin et al. Science China-Technological Sciences
- Landslide susceptibility assessment using frequency ratio, statistical index and certainty factor models for the Gangu County, China
- (2016) Yanli Wu et al. Arabian Journal of Geosciences
- Application of statistical index and index of entropy methods to landslide susceptibility assessment in Gongliu (Xinjiang, China)
- (2016) Qiqing Wang et al. Environmental Earth Sciences
- Learning multiscale and deep representations for classifying remotely sensed imagery
- (2016) Wenzhi Zhao et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- 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
- NMF-based Target Source Separation Using Deep Neural Network
- (2015) Tae Gyoon Kang et al. IEEE SIGNAL PROCESSING LETTERS
- GIS-based assessment of landslide susceptibility using certainty factor and index of entropy models for the Qianyang County of Baoji city, China
- (2015) Qiqing Wang et al. Journal of Earth System Science
- Changes in agricultural system as farmers adapt to economic-social and climatic changes in the min upriver rural areas in western Sichuan, southwestern China
- (2015) Long-jiang Zhang et al. Journal of Mountain Science
- Landslide impacts in Germany: A historical and socioeconomic perspective
- (2015) Martin Klose et al. Landslides
- Landslide susceptibility mapping based on landslide history and analytic hierarchy process (AHP)
- (2015) Dimitrios Myronidis et al. NATURAL HAZARDS
- Deep learning
- (2015) Yann LeCun et al. NATURE
- 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
- Conditioning and time representation in long short-term memory networks
- (2013) Francois Rivest et al. BIOLOGICAL CYBERNETICS
- Landslide susceptibility mapping at central Zab basin, Iran: A comparison between analytical hierarchy process, frequency ratio and logistic regression models
- (2013) Himan Shahabi et al. CATENA
- Provenance and earthquake signature of the last deglacial Xinmocun lacustrine sediments at Diexi, East Tibet
- (2013) Hanchao Jiang et al. GEOMORPHOLOGY
- Using GIS to develop a mobile communications network for disaster-damaged areas
- (2013) Youhei Kawamura et al. International Journal of Digital Earth
- Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
- (2012) Carsten F. Dormann et al. ECOGRAPHY
- Using MODIS NDVI Time Series to Identify Geographic Patterns of Landslides in Vegetated Regions
- (2012) Wentao Yang et al. IEEE Geoscience and Remote Sensing Letters
- The Deep Tensor Neural Network With Applications to Large Vocabulary Speech Recognition
- (2012) Dong Yu et al. IEEE Transactions on Audio Speech and Language Processing
- The Human Pollinators of Fruit Crops in Maoxian County, Sichuan, China
- (2012) Uma Partap et al. MOUNTAIN RESEARCH AND DEVELOPMENT
- Multi-column deep neural network for traffic sign classification
- (2012) Dan Cireşan et al. NEURAL NETWORKS
- A convolutional neural network model of the neural responses of inferotemporal cortex to complex visual objects
- (2011) Satish Rohit et al. BMC NEUROSCIENCE
- Frequency ratio model based landslide susceptibility mapping in lower Mae Chaem watershed, Northern Thailand
- (2011) N. Intarawichian et al. Environmental Earth Sciences
- GIS-based landslide susceptibility mapping using bivariate statistical analysis in Devrek (Zonguldak-Turkey)
- (2011) Cagatay Yilmaz et al. Environmental Earth Sciences
- A time–frequency convolutional neural network for the offline classification of steady-state visual evoked potential responses
- (2011) Hubert Cecotti PATTERN RECOGNITION LETTERS
- Spatial distribution analysis of landslides triggered by 2008.5.12 Wenchuan Earthquake, China
- (2010) Shengwen Qi et al. ENGINEERING GEOLOGY
- Combining Long Short-Term Memory and Dynamic Bayesian Networks for Incremental Emotion-Sensitive Artificial Listening
- (2010) Martin Wollmer et al. IEEE Journal of Selected Topics in Signal Processing
- A maze learning comparison of Elman, long short-term memory, and Mona neural networks
- (2009) Thomas E. Portegys NEURAL NETWORKS
- Landslide susceptibility mapping for a part of tectonic Kelkit Valley (Eastern Black Sea region of Turkey)
- (2007) Hakan A. Nefeslioglu et al. GEOMORPHOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started