Works matching DE "LANDSLIDE hazard analysis"
Results: 3287
Integrated analysis of landslide susceptibility: geotechnical insights, frequency ratio method, and hazard mitigation strategies in a volcanic terrain.
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- Arabian Journal of Geosciences, 2025, v. 18, n. 3, p. 1, doi. 10.1007/s12517-025-12221-5
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Landslide extraction using a novel empirical method and binary semantic segmentation U-NET framework using sentinel-2 imagery.
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- Remote Sensing Letters, 2024, v. 15, n. 3, p. 326, doi. 10.1080/2150704X.2024.2320178
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A stochastic rainfall model for reliability analysis of rainfall-induced landslides.
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- Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards, 2025, v. 19, n. 1, p. 30, doi. 10.1080/17499518.2024.2359957
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Reliability assessment of open-source multiscale landslide susceptibility maps and effects of their fusion.
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- Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards, 2024, v. 18, n. 3, p. 628, doi. 10.1080/17499518.2023.2251139
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Quantification of climate change impact on rainfall-induced shallow landslide susceptibility: a case study in central Norway.
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- Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards, 2024, v. 18, n. 2, p. 467, doi. 10.1080/17499518.2023.2283848
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Special Issue on "Data-Centric Geotechnics for Practice".
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- Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards, 2024, v. 18, n. 1, p. 1, doi. 10.1080/17499518.2024.2318849
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Regional landslide mapping model developed by a deep transfer learning framework using post-event optical imagery.
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- Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards, 2024, v. 18, n. 1, p. 186, doi. 10.1080/17499518.2024.2316265
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Statistical landslide susceptibility assessment using Bayesian logistic regression and Markov Chain Monte Carlo (MCMC) simulation with consideration of model class selection.
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- Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards, 2024, v. 18, n. 1, p. 211, doi. 10.1080/17499518.2023.2288600
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Time series analysis and gated recurrent neural network model for predicting landslide displacements.
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- Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards, 2024, v. 18, n. 1, p. 172, doi. 10.1080/17499518.2022.2138918
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Numerical Investigation into the Runout Dynamics of Reservoir Landslides: Insights from the Yanguan Landslide.
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- Water (20734441), 2025, v. 17, n. 5, p. 695, doi. 10.3390/w17050695
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YOLOv8‐DBW: An Improved High‐Accuracy Fast Landslide Detection Model.
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- Transactions in GIS, 2025, v. 29, n. 1, p. 1, doi. 10.1111/tgis.70021
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Exploration of Landslide Geomorphology and Inventory Construction in Minhe County, Qinghai, China, Based on Google Earth Remote Sensing Imagery.
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- Transactions in GIS, 2025, v. 29, n. 1, p. 1, doi. 10.1111/tgis.13281
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پهنهبندی وقوع خطر زمین لغزش با استفاده از مدلهای جنگل تصادفی و ماشین بردار پشتیبان)مطالعه موردی: حوضه آبخیز تالار(
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- Researches in Earth Sciences / Pizhūhish/hā-yi Dānish-i Zamīn, 2025, v. 16, n. 1, p. 152, doi. 10.48308/esrj.2025.236839.1234
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Modeling Landslide Hazard in the Eastern Himalayan Mountain Region of the Papumpare District of Arunachal Pradesh, India Using Multicriteria Decision-Making (MCDM) and Geospatial Techniques.
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- Nature Environment & Pollution Technology, 2025, v. 24, n. 1, p. 1, doi. 10.46488/NEPT.2025.v24i01.B4208
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Towards a holistic assessment of landslide susceptibility models: insights from the Central Eastern Alps.
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- Environmental Earth Sciences, 2025, v. 84, n. 4, p. 1, doi. 10.1007/s12665-024-12041-y
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A Nowcasting System for Hydrometeorological Hazard Assessment of Landslides and Flooding -- Part 1: Conceptual Formulation.
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- Anuario do Instituto de Geociencias, 2024, v. 47, p. 1, doi. 10.11137/1982-3908_2024_47_62978
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A Nowcasting System for Hydrometeorological Hazard Assessment of Landslides and Flooding -- Part 2: On Verification and Validation Process.
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- Anuario do Instituto de Geociencias, 2024, v. 47, p. 1, doi. 10.11137/1982-3908_2024_47_62979
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Modeling of Soil Water Distribution in a Small Mid-Latitude Watershed on the British Isle for Short Term Landslide and Flood Risk Assessment.
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- Anuario do Instituto de Geociencias, 2024, v. 47, p. 1, doi. 10.11137/1982-3908_2024_47_57297
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Development of the artificial neural network's swarm-based approaches predicting East Azerbaijan landslide susceptibility mapping.
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- Environment, Development & Sustainability, 2025, v. 27, n. 3, p. 6065, doi. 10.1007/s10668-023-04117-9
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Modeling seismic hazard and landslide occurrence probabilities in northwestern Yunnan, China: exploring complex fault systems with multi-segment rupturing in a block rotational tectonic zone.
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- Natural Hazards & Earth System Sciences, 2025, v. 25, n. 2, p. 857, doi. 10.5194/nhess-25-857-2025
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Predicting the thickness of shallow landslides in Switzerland using machine learning.
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- Natural Hazards & Earth System Sciences, 2025, v. 25, n. 2, p. 467, doi. 10.5194/nhess-25-467-2025
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Investigating the role of geological strength index and susceptible zones in landslide triggering mechanisms from Chukyatan-Kumrat road, Dir Upper, Pakistan.
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- International Journal of Geo-Engineering, 2025, v. 16, n. 1, p. 1, doi. 10.1186/s40703-025-00240-w
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Prediction of Landslide Susceptibility Based on Neural Network Model and Negative Sample Selected by Information Value Model.
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- Polish Journal of Environmental Studies, 2025, v. 34, n. 3, p. 2417, doi. 10.15244/pjoes/187604
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Landslide Susceptibility Mapping Utilizing the Weighted Frequency Ratio Technique: A Case Study of Klang Valley, Malaysia.
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- International Journal of Geoinformatics, 2025, v. 21, n. 2, p. 70, doi. 10.52939/ijg.v21i2.3939
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Investigating the efficacy of physics-based metaheuristic algorithms in combination with explainable ensemble machine-learning models for landslide susceptibility mapping.
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- Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 3, p. 1109, doi. 10.1007/s00477-025-02911-7
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Development of a New Method for Debris Flow Runout Assessment in 0-Order Catchments: A Case Study of the Otoishi River Basin.
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- Geosciences (2076-3263), 2025, v. 15, n. 2, p. 41, doi. 10.3390/geosciences15020041
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Impact of Non-Landslide Sample Sampling Strategies and Model Selection on Landslide Susceptibility Mapping.
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- Applied Sciences (2076-3417), 2025, v. 15, n. 4, p. 2132, doi. 10.3390/app15042132
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Global Dynamic Landslide Susceptibility Modeling Based on ResNet18: Revealing Large-Scale Landslide Hazard Evolution Trends in China.
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- Applied Sciences (2076-3417), 2025, v. 15, n. 4, p. 2038, doi. 10.3390/app15042038
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Landslide Susceptibility Assessment Using the Geographical-Optimal-Similarity Model.
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- Applied Sciences (2076-3417), 2025, v. 15, n. 4, p. 1843, doi. 10.3390/app15041843
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Geomorphological and Geological Characteristics Slope Unit: Advancing Township-Scale Landslide Susceptibility Assessment Strategies.
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- Land (2012), 2025, v. 14, n. 2, p. 355, doi. 10.3390/land14020355
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Predicting Landslide Deposit Zones: Insights from Advanced Sampling Strategies in the Ilopango Caldera, El Salvador.
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- Land (2012), 2025, v. 14, n. 2, p. 269, doi. 10.3390/land14020269
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Evaluating Landslide Hazard in Western Sichuan: Integrating Rainfall and Geospatial Factors Using a Coupled Information Value–Geographic Logistic Regression Model.
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- Sustainability (2071-1050), 2025, v. 17, n. 4, p. 1485, doi. 10.3390/su17041485
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Deformation Mechanisms and Rainfall Lag Effects of Deep-Seated Ancient Landslides in High-Mountain Regions: A Case Study of the Zhongxinrong Landslide, Upper Jinsha River.
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- Remote Sensing, 2025, v. 17, n. 4, p. 687, doi. 10.3390/rs17040687
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Snow Melting Experimental Analysis on a Downscaled Shallow Landslide: A Focus on the Seepage Activity of the Snow–Soil System.
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- Water (20734441), 2025, v. 17, n. 4, p. 597, doi. 10.3390/w17040597
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Lightweight deep learning model for automatic landslide prediction and localization.
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- Multimedia Tools & Applications, 2023, v. 82, n. 21, p. 33245, doi. 10.1007/s11042-023-15049-x
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Scanning geophysical hazards.
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- Europhysics News, 2020, v. 51, n. 2, p. 14, doi. 10.1051/epn/2020201
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Rain-on-Snow events in Japan as projected by a large ensemble of regional climate simulations.
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- Climate Dynamics, 2020, v. 55, n. 9/10, p. 2785, doi. 10.1007/s00382-020-05419-8
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Development and kinematics of the river-damming Cuoduoqin rockslide in the high Three River Region, southeastern Tibetan Plateau.
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- Bulletin of Engineering Geology & the Environment, 2024, v. 83, n. 11, p. 1, doi. 10.1007/s10064-024-03925-1
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Physical and numerical modeling of rainfall triggered shallow landslides in central highlands, Ethiopia.
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- Bulletin of Engineering Geology & the Environment, 2023, v. 82, n. 7, p. 1, doi. 10.1007/s10064-023-03235-y
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Hazard assessment of earthquake-induced landslides by using permanent displacement model considering near-fault pulse-like ground motions.
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- Bulletin of Engineering Geology & the Environment, 2021, v. 80, n. 11, p. 8503, doi. 10.1007/s10064-021-02464-3
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Landslide displacement prediction based on a novel hybrid model and convolutional neural network considering time-varying factors.
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- Bulletin of Engineering Geology & the Environment, 2021, v. 80, n. 10, p. 7403, doi. 10.1007/s10064-021-02424-x
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Hybrid-optimized logistic regression model of landslide susceptibility along mountain highway.
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- Bulletin of Engineering Geology & the Environment, 2021, v. 80, n. 10, p. 7385, doi. 10.1007/s10064-021-02415-y
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Application of GIS-based statistical modeling for landslide susceptibility mapping in the city of Azazga, Northern Algeria.
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- Bulletin of Engineering Geology & the Environment, 2021, v. 80, n. 10, p. 7333, doi. 10.1007/s10064-021-02386-0
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Combining geophysical methods, drilling, and monitoring techniques to investigate carbonaceous shale landslides along a railway line: a case study on Jiheng Railway, China.
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- Bulletin of Engineering Geology & the Environment, 2021, v. 80, n. 10, p. 7493, doi. 10.1007/s10064-021-02365-5
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Probabilistically quantifying the effect of geotechnical anisotropy on landslide susceptibility.
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- Bulletin of Engineering Geology & the Environment, 2021, v. 80, n. 8, p. 6615, doi. 10.1007/s10064-021-02197-3
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Landslide susceptibility assessment in Wenchuan County after the 5.12 magnitude earthquake.
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- Bulletin of Engineering Geology & the Environment, 2021, v. 80, n. 7, p. 5369, doi. 10.1007/s10064-021-02280-9
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Landslide susceptibility mapping using an ensemble model of Bagging scheme and random subspace–based naïve Bayes tree in Zigui County of the Three Gorges Reservoir Area, China.
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- Bulletin of Engineering Geology & the Environment, 2021, v. 80, n. 7, p. 5315, doi. 10.1007/s10064-021-02275-6
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Coseismic landslide hazard assessment for the future scenario earthquakes in the Kumaun Himalaya, India.
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- Bulletin of Engineering Geology & the Environment, 2021, v. 80, n. 7, p. 5219, doi. 10.1007/s10064-021-02267-6
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Spatial prediction of landslide susceptibility using projected storm rainfall and land use in Himalayan region.
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- Bulletin of Engineering Geology & the Environment, 2021, v. 80, n. 7, p. 5237, doi. 10.1007/s10064-021-02252-z
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Structural properties of shear zone materials of the Neogene soft-rock landslides in the northeastern margin of the Tibetan Plateau.
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- Bulletin of Engineering Geology & the Environment, 2021, v. 80, n. 6, p. 4277, doi. 10.1007/s10064-021-02257-8
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