Shared publications

Gardoni, P., Der Kiureghian, A., Mosalam, K. M. – Probabilistic capacity models and fragility estimates for reinforced concrete columns based on experimental observations – Journal of Engineering Mechanics – 2002 Others

Gardoni, P., Mosalam, K. M., Der Kiureghian, A. – Probabilistic seismic demand models and fragility estimates for RC bridges – Journal of Earthquake Engineering – 2003 Others

Sharma, N., Tabandeh, A., Gardoni, P. – Resilience analysis: A mathematical formulation to model resilience of engineering systems – Sustainable and Resilient Infrastructure – 2018 Resilience

Xu, Y., Kohtz, S., Boakye, J., Gardoni, P., Wang, P. – Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges – Reliability Engineering & System Safety – 2023 Review

Tabandeh, A., Jia, G., Gardoni, P. – A review and assessment of importance sampling methods for reliability analysis – Structural Safety – 2022 Review

Liu, S., Wang, L., Zhang, W., Sun, W., Fu, J., Xiao, T., Dai, Z. – A physics-informed data-driven model for landslide susceptibility assessment in the Three Gorges Reservoir area – Geoscience Frontiers – 2023 Susceptibility assessment (Hybrid Models)

Liu, S., Wang, L., Zhang, W., Sun, W., Wang, Y., Liu, J. – Physics-informed optimization for a data-driven approach in landslide susceptibility evaluation – Journal of Rock Mechanics and Geotechnical Engineering – 2024 Susceptibility assessment (Hybrid Models)

Zhang, W., Li, H., Li, Y., Liu, H., Chen, Y., Ding, X. – Application of deep learning algorithms in geotechnical engineering: a short critical review – Artificial Intelligence Review – 2021 Review

Zhang, W., Gu, X., Tang, L., Yin, Y., Liu, D., Zhang, Y. – Application of machine learning, deep learning and optimization algorithms in geoengineering and geoscience: Comprehensive review and future challenge – Gondwana Research – 2022 Review

Zhang, W., Xue, Y., Wang, X., Chen, S., Ji, J., Gao, Y. – Analysis of the runout distance and impact force of an actual landslide considering the effect of single rigid barrier using an SPH approach – Acta Geotechnica – 2025 Hazard modelling

Ji, J., Tong, B., Cui, H. Z., Tang, X. T., Hürlimann, M., Du, S. – A QGIS framework for physically-based probabilistic modelling of landslide susceptibility: QGIS-FORM – Environmental Modelling & Software – 2025 Susceptibility assessment (Physical Models)

Cui, H. Z., Tong, B., Wang, T., Dou, J., Ji, J. – A hybrid data-driven approach for rainfall-induced landslide susceptibility mapping: Physically-based probabilistic model with convolutional neural network – Journal of Rock Mechanics and Geotechnical Engineering – 2025 Susceptibility assessment (Hybrid Models)

Cui, H., Medina, V., Hürlimann, M., Ji, J. – Fast physically-based probabilistic modelling of rainfall-induced shallow landslide susceptibility at the regional scale considering geotechnical uncertainties and different hydrological conditions – Computers and Geotechnics – 2024 Susceptibility assessment (Physical Models)

Cui, H., Ji, J., Hürlimann, M., Medina, V. – Probabilistic and physically-based modelling of rainfall-induced landslide susceptibility using integrated GIS-FORM algorithm – Landslides – 2024 Susceptibility assessment (Physical Models)

Ji, J., Cui, H., Zhang, T., Song, J., Gao, Y. – A GIS-based tool for probabilistic physical modelling and prediction of landslides: GIS-FORM landslide susceptibility analysis in seismic areas – Landslides – 2022 Susceptibility assessment (Physical Models)

Li, X., Gao, S., Gao, R., Xu, S. – Causal spatially heterogeneous Bayesian networks with GPs and normalizing flows for seismic multi-hazard estimation – npj Natural Hazards – 2025 Hazard modelling

Li, X., Xu, S. – Scalable variational learning for noisy-OR Bayesian networks with normalizing flows for complex cascading disaster systems – npj Natural Hazards – 2025 Hazard modelling

Li, X., Yu, X., Bürgi, P. M., Wald, D. J., Hu, X., Xu, S. – Rapid building damage estimates from the M7.8 Turkey earthquake sequence via causality-informed Bayesian inference from satellite imagery – Earthquake Spectra – 2025 Vulnerability

Yu, X., Hu, X., Song, Y., Xu, S., Li, X., Song, X., Fan, X., Wang, F. – Intelligent assessment of building damage of 2023 Turkey-Syria earthquake by multiple remote sensing approaches – npj Natural Hazards – 2024 Landslide detection

Li, X., Bürgi, P. M., Ma, W., Noh, H. Y., Wald, D. J., Xu, S. – DisasterNet: Causal Bayesian networks with normalizing flows for cascading hazards estimation from satellite imagery – – 2023 Hazard modelling

Xu, S., Dimasaka, J., Wald, D. J., Noh, H. Y. – Seismic multi-hazard and impact estimation via causal inference from satellite imagery – Nature Communications – 2022 Hazard modelling

Caleca, F., Lombardo, L., Steger, S., Tanyas, H., Raspini, F., Dahal, A., Nefros, C., Mărgărint, M.C., Drouin, V., Jemec-Auflič, M., Novellino, A., Tonini, M., Loche, M., Casagli, N., Tofani, V. – Pan-European Landslide Risk Assessment: From Theory to Practice – Reviews of Geophysics – 2025 Dataset

Guikema, S. – Artificial intelligence for natural hazards risk analysis: Potential, challenges, and research needs – Risk Analysis – 2020 Risk assessment

Logan, T. M., Guikema, S. D., Bricker, J. D. – Hard-adaptive measures can increase vulnerability to storm surge and tsunami hazards over time – Nature Sustainability – 2018 Vulnerability

Wartman, J., Seed, R. B., Bray, J. D. – Shaking table modeling of seismically induced deformations in slopes – Journal of Geotechnical and Geoenvironmental Engineering – 2005 Concepts mechanisms

Wartman, J., Montgomery, D. R., Anderson, S. A., Keaton, J. R., Benoît, J., dela Chapelle, J., Gilbert, R. – The 22 March 2014 Oso landslide, Washington, USA – Geomorphology – 2016 Concepts mechanisms

Wartman, J., Dunham, L., Tiwari, B., Pradel, D. – Landslides in Eastern Honshu Induced by the 2011 Tohoku Earthquake – Bulletin of the Seismological Society of America – 2013 Concepts mechanisms

Strenk, P. M., Wartman, J. – Uncertainty in seismic slope deformation model predictions – Engineering Geology – 2011 Early warning

Grant, A., Wartman, J., Abou-Jaoude, G. – Multimodal method for coseismic landslide hazard assessment – Engineering Geology – 2016 Hazard modelling

Aven, T., Guikema, S. – Whose uncertainty assessments (probability distributions) does a risk assessment report: the analysts' or the experts'? – Reliability Engineering & System Safety – 2011 Others

Logan, T. M., Guikema, S. D. – Reframing resilience: Equitable access to essential services – Risk Analysis – 2020 Others

Guikema, S. D. – Natural disaster risk analysis for critical infrastructure systems: An approach based on statistical learning theory – Reliability Engineering & System Safety – 2009 Others

Shortridge, J., Aven, T., Guikema, S. – Risk assessment under deep uncertainty: A methodological comparison – Reliability Engineering & System Safety – 2017 Others

Pei, T., Qiu, T. – Landslide susceptibility mapping using physics-guided machine learning: a case study of a debris flow event in Colorado Front Range – Acta Geotechnica – 2024 Susceptibility assessment (Hybrid Models)

Yang, H.Q., Zhang, L., Gao, L., Phoon, K.K., Wei, X. – On the importance of landslide management: Insights from a 32-year database of landslide consequences and rainfall in Hong Kong – Engineering Geology – 2022 Landslide mitigation

Wei, X., Gardoni, P., Zhang, L.L., Tan, L., Liu, D.S., Du, C.L., Li, H. – Improving pixel-based regional landslide susceptibility mapping – Geoscience Frontiers – 2024 Susceptibility assessment (Hybrid Models)

Wei, X., Zhang, L.L., Gardoni, P., Chen, Y.M., Tan, L., Liu, D.S., Du, C.L., Li, H. – Comparison of hybrid data-driven and physical models for landslide susceptibility mapping at regional scales – Acta Geotechnica – 2023 Susceptibility assessment (Hybrid Models)

Hungr, O., Leroueil, S., Picarelli, L. – The Varnes classification of landslide types, an update – Landslides – 2014 Concepts mechanisms

Woodard, J.B., Mirus, B.B. – Overcoming the data limitations in landslide susceptibility modeling – Science Advances – 2025 Susceptibility assessment (Physical Models)

Ouellet, S.M., Dettmer, J., Lato, M.J., Cole, S., Hutchinson, D.J., Karrenbach, M., Dashwood, B., Chambers, J.E., Crickmore, R. – Previously hidden landslide processes revealed using distributed acoustic sensing with nanostrain-rate sensitivity – Nature Communications – 2024 Landslide detection

Zhang, L.L., Zhang, J., Zhang, L.M., Tang, W.H. – Stability analysis of rainfall-induced slope failure: a review – Proceedings of the Institution of Civil Engineers - Geotechnical Engineering – 2011 Concepts mechanisms Review

Zhang, L.L., Zhang, L.M., Tang, W.H. – Rainfall-induced slope failure considering variability of soil properties – Géotechnique – 2005 Concepts mechanisms

Zhang, L.L., Fredlund, D.G., Fredlund, M.D., Wilson, G.W. – Modeling the unsaturated soil zone in slope stability analysis – Canadian Geotechnical Journal – 2014 Concepts mechanisms

Casagli, N., Intrieri, E., Tofani, V., Gigli, G., Raspini, F. – Landslide detection, monitoring and prediction with remote-sensing techniques – Nature Reviews Earth & Environment – 2023 Landslide detection Review

Jiang, P., Ma, Z., Mei, G. – Review article: Deep Learning for Potential Landslide Identification: Data, Models, Applications, Challenges, and Opportunities – EGUsphere – 2025 Landslide detection Review

Novellino, A., Pennington, C., Leeming, K., et al. – Mapping landslides from space: A review – Landslides – 2024 Landslide detection Review

Harvey, E.L., Kincey, M.E., Rosser, N.J., Gadtaula, A., Collins, E., Densmore, A.L., et al. – Review of landslide inventories for Nepal between 2010 and 2021 reveals data gaps in global landslide hotspot – Natural Hazards – 2025 Review

Li, Y., Fu, B., Yin, Y., Hu, X., Wang, W., Wang, W., et al. – Review on the artificial intelligence-based methods in landslide detection and susceptibility assessment: Current progress and future directions – Intelligent Geoengineering – 2024 Landslide detection Susceptibility assessment Review

Xu, Q., Zhao, B., Dai, K., Dong, X., Li, W., Zhu, X., et al. – Remote sensing for landslide investigations: A progress report from China – Engineering Geology – 2023 Landslide detection Review

Ghorbanzadeh, O., Shahabi, H., Crivellari, A., Homayouni, S., Blaschke, T., Ghamisi, P. – Landslide detection using deep learning and object-based image analysis – Landslides – 2022 Landslide detection

Zekkos, D., Clark, M., Cowell, K., Medwedeff, W., Manousakis, J., Saroglou, H., Tsiambaos, G. – Enabling 3D landslide event statistics using satellite and UAV-enabled topographic differencing – Landslides – 2024 Landslide detection

Yanites, B.J., Clark, M.K., Roering, J.J., West, A.J., Pierce, J. – Cascading land surface hazards as a nexus in the Earth system – Science – 2025 Concepts mechanisms

Karantanellis, E., Marinos, V., Vassilakis, E., Christaras, B. – Object-Based Analysis Using Unmanned Aerial Vehicles (UAVs) for Site-Specific Landslide Assessment – Remote Sensing – 2020 Landslide detection

Loos, S., Lallemant, D., Baker, J., McCaughey, J., Yun, S.H., Budhathoki, N., Khan, F., Singh, R. – G-DIF: A geospatial data integration framework to rapidly estimate post-earthquake damage – Earthquake Spectra – 2020 Others

Guo, A., Hu, J., Sun, Q., Zhou, D., Chen, Y., Zheng, W., Han, B., Li, J. – Revealing Hidden Deformation Patterns in Shallow Creeping Landslides: A Data-Driven InSAR Phase Filtering Method Addressing Geometric Distortions – IEEE Transactions on Geoscience and Remote Sensing – 2025 Landslide detection

Guo, A., Sun, Q., Hu, J., Zheng, W., Gui, R., Yu, Y. – MUSEnet: High Temporal-Frequency Estimation of Landslide Deformation Field Through Joint InSAR and Hydrological Observations Using Deep Learning – IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing – 2024 Landslide detection

Gong, W., Zekkos, D., Clark, M. – A physics-based machine learning-informed model for predicting regional earthquake-induced landslides – Engineering Geology – 2026 Susceptibility assessment (Hybrid Models)

Gong, W., Wang, G., Li, L., Chen, B. – A dataset and review of empirical estimation relationships for landslide runout distances – Earth-Science Reviews – 2025 Others Review

Chen, B., Maurer, J., Gong, W. – Applications of UAV in landslide research: a review – Landslides – 2025 Landslide detection Review

Tacconi Stefanelli, C., Vilímek, V., Emmer, A., Catani, F. – Morphological analysis and features of the landslide dams in the Cordillera Blanca, Peru – Landslides – 2018 Concepts mechanisms

Zhang, X., Yu, W., Pun, M.O., Shi, W. – Cross-domain landslide mapping from large-scale remote sensing images using prototype-guided domain-aware progressive representation learning – ISPRS Journal of Photogrammetry and Remote Sensing – 2023 Landslide detection

Xiao, T., Zhang, L.M., Cheung, R.W.M., Lacasse, S. – Predicting spatio-temporal man-made slope failures induced by rainfall in Hong Kong using machine learning techniques – Géotechnique – 2023 Susceptibility assessment (Data-Driven Models)

Amatya, P., Kirschbaum, D., Stanley, T., Tanyas, H. – Landslide mapping using object-based image analysis and open source tools – Engineering Geology – 2021 Landslide detection

Patton, A.I., Rathburn, S.L., Capps, D.M. – Landslide response to climate change in permafrost regions – Geomorphology – 2019 Concepts mechanisms

Patton, A.I., Luna, L.V., Roering, J.J., Jacobs, A., Korup, O., Mirus, B.B. – Landslide initiation thresholds in data-sparse regions: application to landslide early warning criteria in Sitka, Alaska, USA – Natural Hazards and Earth System Sciences – 2023 Early warning

Amatya, P., Kirschbaum, D., Stanley, T. – Use of Very High-Resolution Optical Data for Landslide Mapping and Susceptibility Analysis along the Karnali Highway, Nepal – Remote Sensing – 2019 Susceptibility assessment

Hong, Y., Xuan Do, H., Kessler, J., Fry, L., Read, L., Rafieei Nasab, A., Anderson, E.J. – Evaluation of gridded precipitation datasets over international basins and large lakes – Journal of Hydrology – 2022 Others

Guzzetti, F., Mondini, A.C., Cardinali, M., Fiorucci, F., Santangelo, M., Chang, K.T. – Landslide inventory maps: New tools for an old problem – Earth-Science Reviews – 2012 Landslide detection

Mondini, A.C., Guzzetti, F., Chang, K.T., Monserrat, O., Martha, T.R., Manconi, A. – Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future – Earth-Science Reviews – 2021 Landslide detection Review

Stumpf, A., Kerle, N. – Object-oriented mapping of landslides using Random Forests – Remote Sensing of Environment – 2011 Landslide detection

Mondini, A.C., Guzzetti, F., Reichenbach, P., Rossi, M., Cardinali, M., Ardizzone, F. – Semi-automatic recognition and mapping of rainfall induced shallow landslides using optical satellite images – Remote Sensing of Environment – 2011 Landslide detection

Handwerger, A.L., Huang, M.H., Jones, S.Y., Amatya, P., Kerner, H.R., Kirschbaum, D.B. – Generating landslide density heatmaps for rapid detection using open-access satellite radar data in Google Earth Engine – Natural Hazards and Earth System Sciences – 2022 Landslide detection

Corominas, J., van Westen, C.J., Frattini, P., Cascini, L., Malet, J.P., Fotopoulou, S., Catani, F., Van Den Eeckhaut, M., Mavrouli, O., Agliardi, F., Pitilakis, K., Winter, M.G., Pastor, M., Ferlisi, S., Tofani, V., Hervás, J., Smith, J.T. – Recommendations for the quantitative analysis of landslide risk – Bulletin of Engineering Geology and the Environment – 2014 Risk assessment

Fell, R., Corominas, J., Bonnard, C., Cascini, L., Leroi, E., Savage, W.Z. – Guidelines for landslide susceptibility, hazard and risk zoning for land use planning – Engineering Geology – 2008 Risk assessment Review

Fuchs, S., Heiss, K., Hübl, J. – Towards an empirical vulnerability function for use in debris flow risk assessment – Natural Hazards and Earth System Sciences – 2007 Vulnerability

Uzielli, M., Nadim, F., Lacasse, S., Kaynia, A.M. – A conceptual framework for quantitative estimation of physical vulnerability to landslides – Engineering Geology – 2008 Vulnerability

Lahousse, T., Chang, K.T., Lin, Y.H. – Landslide mapping with multi-scale object-based image analysis – a case study in the Baichi watershed, Taiwan – Natural Hazards and Earth System Sciences – 2011 Landslide detection

Fan, X., Wang, X., Fang, C., Jansen, J.D., Dai, L., Tanyas, H., Zang, N., Tang, R., Xu, Q., Huang, R. – Deep learning can predict global earthquake-triggered landslides – National Science Review – 2025 Landslide detection

Duan, Y., Ding, M., He, Y., et al. – Projections of global road risk exposed to landslides under climate change – Communications Earth & Environment – 2025 Exposure

Chen, W., Li, X., Wang, Y., Chen, G., Liu, S. – Forested landslide detection using LiDAR data and the random forest algorithm: A case study of the Three Gorges, China – Remote Sensing of Environment – 2014 Landslide detection

Luo, H.Y., Zhang, L.M., Zhang, L.L., He, J., Yin, K.S. – Vulnerability of buildings to landslides: The state of the art and future needs – Earth-Science Reviews – 2023 Vulnerability Review

Huang, Y., Dai, Z., Zhang, W., Huang, M. – Landslide damage incurred to buildings: A case study of Shenzhen landslide – Engineering Geology – 2018 Vulnerability

Cai, J., Zhang, L., Dong, J., Guo, J., Wang, Y., Liao, M. – Automatic identification of active landslides over wide areas from time-series InSAR measurements using Faster RCNN – International Journal of Applied Earth Observation and Geoinformation – 2023 Landslide detection

Ju, L.Y., Xiao, T., He, J., Xu, W.F., Xiao, S.H., Zhang, L.M. – A simulation-enabled slope digital twin for real-time assessment of rain-induced landslides – Engineering Geology – 2025 Risk assessment

Meng, Y., Jiao, Y., Zhang, L.M. – Slope-specific rainfall thresholds for regional landslide early warning systems – Engineering Geology – 2025 Hazard modelling

Gariano, S.L., Melillo, M., Peruccacci, S., Brunetti, M.T. – Brief communication: Threshold and probability. The conceptual difference between ID thresholds for landslide initiation and IDF curves – Natural Hazards and Earth System Sciences – 2025 Concepts mechanisms

Chanut, M.A., Gasc-Barbier, M., Dubois, L., Dubois, S. – Automatic identification of continuous or non-continuous evolution of landslides and quantification of deformations – Landslides – 2021 Landslide detection

Zhang, S., Li, C., Peng, J., Wang, S., Chen, W., Wang, Q., Ma, P. – Physical vulnerability assessment of damaged buildings to the Shenzhen catastrophic CSW landslide – Landslides – 2024 Vulnerability

Luo, H.Y., Zhang, L.M., He, J., Yin, K.S. – Probabilistic framework to evaluate scenario-based building vulnerability under landslide run-out impacts – Engineering Geology – 2023 Vulnerability

Medina, V., Hürlimann, M., Mendoza, J.A., Furdada, G., Vaunat, J. – Implications of landslide runout modeling for vulnerability assessment: Benchmarking from a case study in the andean region – International Journal of Disaster Risk Reduction – 2025 Vulnerability

Du, W., Fu, X., Sheng, Q., Chen, J., Zhou, Y., Zheng, S. – Physics-based and data-driven long-term evolution of a landslide: From inversion to prediction – Engineering Geology – 2025 Hazard modelling

Burrows, K., Milledge, D., Walters, R.J. – Sentinel-1 SAR-based globally distributed co-seismic landslide detection by deep neural networks – Geoscientific Model Development – 2026 Landslide detection

Ji, S., Yu, D., Shen, C., Li, W., Xu, Q. – Landslide detection from an open satellite imagery and digital elevation model dataset using attention boosted convolutional neural networks – Landslides – 2020 Landslide detection

Lu, W., Hu, Y., Zhang, Z., Liu, J. – A dual-encoder U-Net for landslide detection using Sentinel-2 and DEM data – Landslides – 2023 Landslide detection

Tang, L., Lu, W. – Mamba for Landslide Detection: A Lightweight Model for Mapping Landslides With Very High-Resolution Images – IEEE Transactions on Geoscience and Remote Sensing – 2025 Landslide detection

Zhang, F., Zhu, Q., Wang, Y., Liu, J., Chen, J., Li, W. – TLSTMF-YOLO: Transfer Learning and Feature Fusion Network for Earthquake-Induced Landslide Detection in Remote Sensing Images – IEEE Transactions on Geoscience and Remote Sensing – 2025 Landslide detection

Li, S., Feng, X., Xu, Q., Guo, C., Zhao, K., Zheng, G. – Physics-Informed Deep Learning for Revealing the Evolutionary Characteristics of Landslides Induced by Rainfall Process – Geophysical Research Letters – 2025 Hazard modelling

Monahan, T., Tang, T., Roberts, S., Adcock, T.A.A. – Observations of the seiche that shook the world – Nature Communications – 2025 Others

Piciullo, L., Abraham, M.T., Drøsdal, I.N., Paulsen, E.S. – An operational IoT-based slope stability forecast using a digital twin – Environmental Modelling & Software – 2025 Early warning

Lombardo, L., Mai, P.M. – Presenting logistic regression-based landslide susceptibility results – Engineering Geology – 2018 Susceptibility assessment (Statistical Models)

Nocentini, N., Rosi, A., Piciullo, L., Liu, Z., Segoni, S., Fanti, R. – Regional-scale spatiotemporal landslide probability assessment through machine learning and potential applications for operational warning systems: a case study in Kvam (Norway) – Landslides – 2024 Early warning

Lombardo, L., Opitz, T., Ardizzone, F., Guzzetti, F., Huser, R. – Space-time landslide predictive modelling – Earth-Science Reviews – 2020 Hazard modelling

Lombardo, L., Tanyas, H., Huser, R., Guzzetti, F., Castro-Camilo, D. – Landslide size matters: A new data-driven, spatial prototype – Engineering Geology – 2021 Hazard modelling

Ghorbanzadeh, O., Blaschke, T., Gholamnia, K., Meena, S.R., Tiede, D., Aryal, J. – Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection – Remote Sensing – 2019 Landslide detection

Ghorbanzadeh, O., Xu, Y., Zhao, H., Wang, J., Zhong, Y., Zhao, D., Zang, Q., Wang, S., Zhang, F., Shi, Y., Zhu, X.X., Bai, L., Li, W., Peng, W., Ghamisi, P. – The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection From Multisource Satellite Imagery – IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing – 2022 Landslide detection

Ghorbanzadeh, O., Xu, Y., Ghamisi, P., Kopp, M., Kreil, D. – Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection – IEEE Transactions on Geoscience and Remote Sensing – 2022 Landslide detection

Ghorbanzadeh, O., Crivellari, A., Ghamisi, P., Shahabi, H., Blaschke, T. – A comprehensive transferability evaluation of U-Net and ResU-Net for landslide detection from Sentinel-2 data (case study areas from Taiwan, China, and Japan) – Scientific Reports – 2021 Landslide detection

Ghorbanzadeh, O., Meena, S.R., Blaschke, T., Aryal, J. – UAV-Based Slope Failure Detection Using Deep-Learning Convolutional Neural Networks – Remote Sensing – 2019 Landslide detection

Meena, S.R., Ghorbanzadeh, O., van Westen, C.J., Nachappa, T.G., Blaschke, T., Singh, R.P., Sarkar, R. – Rapid mapping of landslides in the Western Ghats (India) triggered by 2018 extreme monsoon rainfall using a deep learning approach – Landslides – 2021 Landslide detection

Ghorbanzadeh, O., Rostamzadeh, H., Blaschke, T., Gholaminia, K., Aryal, J. – A new GIS-based data mining technique using an adaptive neuro-fuzzy inference system (ANFIS) and k-fold cross-validation approach for land subsidence susceptibility mapping – Natural Hazards – 2018 Susceptibility assessment (Data-Driven Models)

Zhao, T., Peng, H., Xu, L., Sun, P. – Statistical landslide susceptibility assessment using Bayesian logistic regression and Markov Chain Monte Carlo (MCMC) simulation with consideration of model class selection – Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards – 2024 Susceptibility assessment (Statistical Models)

Xu, L., Yan, D., Zhao, T. – Probabilistic evaluation of loess landslide impact using multivariate model – Landslides – 2021 Hazard modelling

Li, Z., Chen, J., Cao, C., Zhang, W., Li, Y., Hu, J., Li, Z. – Detecting subtle nonlinear changes in slow-moving landslides with a hybrid InSAR change point detection framework: Methodological assessment and validation – International Journal of Applied Earth Observation and Geoinformation – 2025 Early warning

Fang, C., Fan, X., Wang, X., Nava, L., Zhong, H., Dong, X., Qi, J., Catani, F. – A globally distributed dataset of coseismic landslide mapping via multi-source high-resolution remote sensing images – Earth System Science Data – 2024 Early warning

Wei, X., Zhang, L., Luo, J., Liu, D. – A Graph Neural Network Landslide Susceptibility Mapping Method Constrained by Geographical Environment Consistency – InSAR and Deep Learning in Landslides Research – 2025 Early warning

Segoni, S., Tofani, V., Rosi, A., Catani, F., Casagli, N. – Combination of Rainfall Thresholds and Susceptibility Maps for Dynamic Landslide Hazard Assessment at Regional Scale – Frontiers in Earth Science – 2018 Early warning

Liu, D., Tang, D., Ma, J., Zhang, J., Tang, H., Leng, Y. – Critical threshold mining of landslide deformation and intelligent early-warning methods based on multi-factor fusion – Bulletin of Engineering Geology and the Environment – 2024 Early warning

Kuang, P., Li, R., Huang, Y., Wu, J., Luo, X., Zhou, F. – Landslide Displacement Prediction via Attentive Graph Neural Network – Remote Sensing – 2022 Early warning

Intrieri, E., Gigli, G., Casagli, N., Nadim, F. – Brief communication 'Landslide Early Warning System: toolbox and general concepts' – Natural Hazards and Earth System Sciences – 2013 Concepts mechanisms

Ghorbanzadeh, O., Shahabi, H., Piralilou, S.T., Crivellari, A., Cué La Rosa, L.E., Atzberger, C., Li, J., Ghamisi, P. – Contrastive Self-Supervised Learning for Globally Distributed Landslide Detection – IEEE Access – 2024 Landslide detection

Pawar, N.S., Sharma, K.V. – Comprehensive review of remote sensing integration with deep learning in landslide forecasting and future directions – Natural Hazards – 2025 Landslide detection Review

Cheng, Y., Pang, H., Li, Y., Fan, L., Wei, S., Yuan, Z., Fang, Y. – Applications and Advancements of Spaceborne InSAR in Landslide Monitoring and Susceptibility Mapping: A Systematic Review – Remote Sensing – 2025 Landslide detection Review

Zhang, Y., Meng, X., Dijkstra, T., Jordan, C., Chen, G., Zeng, R., Novellino, A. – Change detection of slow-moving landslide with multi-source SBAS-InSAR and Light-U2Net – International Journal of Applied Earth Observation and Geoinformation – 2025 Landslide detection

Reichenbach, P., Rossi, M., Malamud, B.D., Mihir, M., Guzzetti, F. – A review of statistically-based landslide susceptibility models – Earth-Science Reviews – 2018 Susceptibility assessment Review

Zhang, C., Li, Z., Yu, C., Song, C., Xiao, R., Peng, J. – An integrated framework for wide-area active landslide detection with InSAR observations and SAR pixel offsets – Landslides – 2022 Landslide detection

Rossi, M., Bornaetxea, T., Reichenbach, P. – LAND-SUITE V1.0: a suite of tools for statistically based landslide susceptibility zonation – Geoscientific Model Development – 2022 Susceptibility assessment

Urgilez Vinueza, A., Handwerger, A.L., Bakker, M., Bogaard, T. – A new method to detect changes in displacement rates of slow-moving landslides using InSAR time series – Landslides – 2022 Landslide detection

Cai, J., Zhang, L., Dong, J., Guo, J., Wang, Y., Liao, M. – Automatic identification of active landslides over wide areas from time-series InSAR measurements using Faster RCNN – International Journal of Applied Earth Observation and Geoinformation – 2023 Landslide detection

Lacroix, P., Handwerger, A.L., Bièvre, G. – Life and death of slow-moving landslides – Nature Reviews Earth & Environment – 2020 Concepts mechanisms

Thiebes, B., Bell, R., Glade, T., Jäger, S., Mayer, J., Anderson, M., Holcombe, L. – Monitoring strategies for local landslide early warning systems – Landslides – 2018 Early warning Review

Segoni, S., Piciullo, L., Gariano, S.L. – A review of the recent literature on rainfall thresholds for landslide occurrence – Landslides – 2018 Early warning Review

Guzzetti, F., Gariano, S.L., Peruccacci, S., Brunetti, M.T., Melillo, M., Rossi, M., Luciani, S. – Landslide predictions through combined rainfall threshold models – Landslides – 2024 Early warning

Intrieri, E., Carlà, T., Gigli, G. – Forecasting the time of failure of landslides at slope-scale: A literature review – Earth-Science Reviews – 2019 Early warning Review

Zhang, J., Tang, H., Zhou, B., Wen, T., Li, L. – A new early warning criterion for landslides movement assessment: Deformation Standardized Anomaly Index – Bulletin of Engineering Geology and the Environment – 2024 Early warning

Fiolleau, S., Uhlemann, S., Dufour, C., Bièvre, G., Coccia, C., Mourier, B., Labazuy, P., Malet, J.P. – Understanding slow-moving landslide triggering processes using low-cost passive seismic and inclinometer monitoring – Journal of Applied Geophysics – 2023 Early warning

Guzzetti, F., Gariano, S.L., Peruccacci, S., Brunetti, M.T., Marchesini, I., Rossi, M., Melillo, M. – Geographical landslide early warning systems – Earth-Science Reviews – 2020 Early warning Review

Sharifi, S., Macciotta, R., Hendry, M.T. – A reliability evaluation of four landslide failure forecasting methods in real-time monitoring applications – Landslides – 2024 Early warning

Liu, Z., Nadim, F., Garcia-Aristizabal, A., Mignan, A., Fleming, K., Luna, B.Q. – A three-level framework for multi-risk assessment – Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards – 2015 Risk assessment

Yang, B., Yin, K., Lacasse, S., Liu, Z. – Time series analysis and long short-term memory neural network to predict landslide displacement – Landslides – 2019 Early warning

Tehrani, F.S., Calvello, M., Liu, Z., Zhang, L., Lacasse, S. – Machine learning and landslide studies: Recent advances and applications – Natural Hazards – 2022 Review

Liu, Z., Gilbert, G., Cepeda, J.M., Lysdahl, A.O.K., Piciullo, L., Hefre, H., Lacasse, S. – Modelling of shallow landslides with machine learning algorithms – Geoscience Frontiers – 2021 Susceptibility assessment (Machine Learning)

Ng, C.W.W., Yang, B., Liu, Z.Q., Kwan, J.S.H., Chen, L. – Spatiotemporal modelling of rainfall-induced landslides using machine learning – Landslides – 2021 Hazard modelling

Chen, X.Y., Zhang, L.L., Zhang, L.M., Yang, H.Q., Liu, Z.Q., Lacasse, S., Li, J.H., Cao, Z.J. – Investigation of impact of submarine landslide on pipelines with large deformation analysis considering spatially varied soil – Ocean Engineering – 2020 Risk assessment

Nocentini, N., Rosi, A., Piciullo, L., Liu, Z., Segoni, S., Fanti, R. – Regional-scale spatiotemporal landslide probability assessment through machine learning and potential applications for operational warning systems: A case study in Kvam (Norway) – Landslides – 2024 Early warning

Tellman, B., Sullivan, J.A., Kuhn, C., Kettner, A.J., Doyle, C.S., Brakenridge, G.R., Erickson, T.A., Slayback, D.A. – Satellite imaging reveals increased proportion of population exposed to floods – Nature – 2021 Others

Xiong, J., Pei, T., Qiu, T. – A Novel Framework for Spatiotemporal Susceptibility Prediction of Rainfall-Induced Landslides: A Case Study in Western Pennsylvania – Remote Sensing – 2024 Susceptibility assessment (Hybrid Models)

Pei, T., Qiu, T., Shen, C. – Applying knowledge-guided machine learning to slope stability prediction – Journal of Geotechnical and Geoenvironmental Engineering – 2023 Susceptibility assessment (Hybrid Models)

Palese, M., Pei, T., Qiu, T., Zarembski, A.M., Shen, C., Palese, J.W. – Hazard assessment framework for statistical analysis of cut slopes using track inspection videos and geospatial information – Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards – 2023 Susceptibility assessment

Nagendra, S., Kifer, D., Mirus, B., Pei, T., Lawson, K., Manjunatha, S.B., Li, W., Nguyen, H., Qiu, T., Tran, S., Shen, C. – Constructing a large-scale landslide database across heterogeneous environments using task-specific model updates – IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing – 2022 Landslide detection

Jia, G., Gardoni, P. – State-dependent stochastic models: A general stochastic framework for modeling deteriorating engineering systems considering multiple deterioration processes and their interactions – Structural Safety – 2018 Others

Tabandeh, A., Jia, G., Gardoni, P. – Langevin importance sampling for reliability analysis – Reliability Engineering & System Safety – 2026 Others

Xiong, Z., Jia, G. – Data-driven global sensitivity analysis for group of random variables through knowledge-enhanced machine learning with normalizing flows – Reliability Engineering & System Safety – 2025 Others

Wang, Z., Jia, G. – Extended sample-based approach for efficient sensitivity analysis of group of random variables – Reliability Engineering & System Safety – 2023 Others

Zhao, C., Lu, Z. – Remote Sensing of Landslides—A Review – Remote Sensing – 2018 Landslide detection (Remote Sensing) Review

Liu, X., Zhao, C., Zhang, Q., Lu, Z., Li, Z., Yang, C., Zhu, W., Liu-Zeng, J., Chen, L., Liu, C. – Integration of Sentinel-1 and ALOS/PALSAR-2 SAR datasets for mapping active landslides along the Jinsha River corridor, China – Engineering Geology – 2021 Landslide detection (Remote Sensing)

Hu, X., Lu, Z., Pierson, T. C., Kramer, R., George, D. L. – Combining InSAR and GPS to determine transient movement and thickness of a seasonally active low-gradient translational landslide – Geophysical Research Letters – 2018 Landslide detection (Remote Sensing)

Xu, Y., Lu, Z., Leshchinsky, B. – Kinematics of irrigation-induced landslides in a Washington Desert: impacts of basal geometry – Journal of Geophysical Research: Earth Surface – 2022 Concepts mechanisms

Jiang, Y., Zheng, L., Xu, Q., Lu, Z. – Deformation mechanism-assisted deep learning architecture for predicting step-like displacement of reservoir landslide – International Journal of Applied Earth Observation and Geoinformation – 2024 Early warning (Machine Learning)

Shi, X., Hu, X. – Characterization of landslide displacements in an active fault zone in Northwest China – Earth Surface Processes and Landforms – 2023 Landslide detection (Remote Sensing)

Zhou, C., Cao, Y., Hu, X., Yin, K., Wang, Y., Catani, F. – Enhanced dynamic landslide hazard mapping using MT-InSAR method in the Three Gorges Reservoir Area – Landslides – 2022 Hazard modelling

Zheng, W., Hu, J., Lu, Z., Hu, X., Sun, Q., Liu, J., Zhu, J., Li, Z. – Enhanced kinematic inversion of 3-D displacements, geometry, and hydraulic properties of a North-South slow-moving landslide in three gorges reservoir – Journal of Geophysical Research: Solid Earth – 2023 Landslide detection (Remote Sensing)

Song, Y., Hu, X., Xu, Y., Chen, G., Zhang, J., Li, Y. – Co-seismic landslides and a massive lateral spread of the 2023 Jishishan earthquake in China characterized by intelligent remote sensing analysis – Journal of Geophysical Research: Earth Surface – 2025 Susceptibility assessment (Data-Driven Models)

Mancino, S., Sblano, A., Lovergine, F. P., Massimi, V., Sethi, T., Capolongo, D., Amatulli, G. – Unified Global Landslide Catalogue (UGLC): A single, standardised global-scale landslide dataset – Earth System Science Data Discussions – 2025 Dataset

Bolboli Zadeh, M., Nguyen, P., Hsu, K.L., et al. – A Global High-Resolution Precipitation Climate Record: PERSIANN-CCS-CDR Version 2.0 – Scientific Data – 2026 Others

Li, Y., Otsubo, M., Kuwano, R., Nadimi, S. – Quantitative evaluation of surface roughness for granular materials using Gaussian filter method – Powder Technology – 2021 Others

Li, Y., Otsubo, M., Angelidakis, V., Kuwano, R., Nadimi, S. – Exploring the micro-to-macro response of granular soils with real particle shapes by way of μCT-aided DEM analyses – Géotechnique – 2025 Others

Li, Y., Buscarnera, G. – Role of the particle size and shape dispersion on stress transmission and strain energy storage – Géotechnique Letters – 2025 Others

Li, Y., Singh, S., Buscarnera, G. – X-Ray Microtomography Measurements of Coevolving Particle Size and Shape – Journal of Geotechnical and Geoenvironmental Engineering – 2025 Others

Alvioli, M., Marchesini, I., Reichenbach, P., Rossi, M., Ardizzone, F., Fiorucci, F., Guzzetti, F. – Automatic delineation of geomorphological slope units with r.slopeunits v1.0 and their optimization for landslide susceptibility modeling – Geoscientific Model Development – 2016 Susceptibility assessment

Alvioli, M., Baum, R. L. – Parallelization of the TRIGRS model for rainfall-induced landslides using the message passing interface – Environmental Modelling & Software – 2016 Susceptibility assessment (Physical Models)

Schlögel, R., Marchesini, I., Alvioli, M., Reichenbach, P., Rossi, M., Malet, J. P. – Optimizing landslide susceptibility zonation: Effects of DEM spatial resolution and slope unit delineation on logistic regression models – Geomorphology – 2018 Susceptibility assessment (Data-Driven Models)

Alvioli, M., Guzzetti, F., Rossi, M. – Scaling properties of rainfall induced landslides predicted by a physically based model – Geomorphology – 2014 Susceptibility assessment (Physical Models)

Alvioli, M., Guzzetti, F., Marchesini, I. – Parameter-free delineation of slope units and terrain subdivision of Italy – Geomorphology – 2020 Susceptibility assessment

Tran, T. V., Alvioli, M., Lee, G., et al. – Three-dimensional, time-dependent modeling of rainfall-induced landslides over a digital landscape: a case study – Landslides – 2018 Susceptibility assessment (Physical Models)

Loche, M., Alvioli, M., Marchesini, I., Bakka, H., Lombardo, L. – Landslide susceptibility maps of Italy: Lesson learnt from dealing with multiple landslide types and the uneven spatial distribution of the national inventory – Earth-Science Reviews – 2022 Susceptibility assessment

Jacobs, L., Kervyn, M., Reichenbach, P., Rossi, M., Marchesini, I., Alvioli, M., Dewitte, O. – Regional susceptibility assessments with heterogeneous landslide information: Slope unit- vs. pixel-based approach – Geomorphology – 2020 Susceptibility assessment

Alvioli, M., Santangelo, M., Fiorucci, F., Cardinali, M., Marchesini, I., Reichenbach, P., Peruccacci, S. – Rockfall susceptibility and network-ranked susceptibility along the Italian railway – Engineering Geology – 2021 Susceptibility assessment

Domènech, G., Alvioli, M., Corominas, J. – Preparing first-time slope failures hazard maps: from pixel-based to slope unit-based – Landslides – 2020 Susceptibility assessment

Luna, L. V., Woodard, J. B., Bytheway, J. L., Belair, G. M., Mirus, B. B. – Constraining landslide frequency across the United States to inform county-level risk reduction – Natural Hazards and Earth System Sciences – 2025 Risk assessment Hazard modelling

Mirus, B. B., Bogaard, T., Greco, R., Stähli, M. – Invited perspectives: Integrating hydrologic information into the next generation of landslide early warning systems – Natural Hazards and Earth System Sciences – 2025 Early warning Review

Woodard, J. B., Mirus, B. B., Wood, N. J., Allstadt, K. E., Leshchinsky, B. A., Crawford, M. M. – Slope Unit Maker (SUMak): an efficient and parameter-free algorithm for delineating slope units to improve landslide modeling – Natural Hazards and Earth System Sciences – 2024 Susceptibility assessment (Others)

Woodard, J. B., Mirus, B. B., Crawford, M. M., Or, D., Leshchinsky, B. A., Allstadt, K. E., Wood, N. J. – Mapping landslide susceptibility over large regions with limited data – Journal of Geophysical Research: Earth Surface – 2023 Susceptibility assessment (Data-Driven Models)

Mirus, B.B., Jones, E.S., Baum, R.L., et al. – Landslides across the USA: occurrence, susceptibility, and data limitations – Landslides – 2020 Landslide detection Dataset

Mirus, B. B., Smith, J. B., Baum, R. L. – Hydrologic impacts of landslide disturbances: implications for remobilization and hazard persistence – Water Resources Research – 2017 Concepts mechanisms Early warning

Temme, A., Guzzetti, F., Samia, J., Mirus, B. B. – The future of landslides' past - a framework for assessing consecutive landsliding systems – Landslides – 2020 Concepts mechanisms Review

Orland, E., Roering, J. J., Thomas, M. A., Mirus, B. B. – Deep learning as a tool to forecast hydrologic response for landslide-prone hillslopes – Geophysical Research Letters – 2020 Early warning Hazard modelling

Thomas, M. A., Mirus, B. B., Collins, B. D., et al. – Variability in soil-water retention properties and implications for physics-based simulation of landslide early warning criteria – Landslides – 2018 Early warning Hazard modelling

Thomas, M. A., Mirus, B. B., Smith, J. B. – Hillslopes in humid-tropical climates aren't always wet: Implications for hydrologic response and landslide initiation in Puerto Rico – Hydrological Processes – 2020 Early warning Hazard modelling

Hinds, E. S., Lu, N., Mirus, B. B., Godt, J. W., Wayllace, A. – Evaluation of techniques for mitigating snowmelt infiltration-induced landsliding in a highway embankment – Engineering Geology – 2021 Landslide mitigation Hazard modelling

Woodard, J. B., LaHusen, S. R., Mirus, B. B., Barnhart, K. R. – Constraining mean landslide occurrence rates for non-temporal landslide inventories using high-resolution elevation data – Journal of Geophysical Research: Earth Surface – 2024 Hazard modelling Susceptibility assessment

Mathews, N. W., Leshchinsky, B. A., Mirus, B. B., Olsen, M. J., Booth, A. M. – RegionGrow3D: A deterministic analysis for characterizing discrete three-dimensional landslide source areas on a regional scale – Journal of Geophysical Research: Earth Surface – 2024 Hazard modelling Susceptibility assessment

Sousa, D. F., Fulmer, E., Sanders, M. A., Mathews, N. W., Roering, J. J., Rengers, F. K., et al. – The influence of postfire root strength decay on shallow landslide susceptibility in western Oregon – Landslides – 2026 Susceptibility assessment (Physical Models) Concepts mechanisms

Gao, L., Zhang, L.M., Cheung, R.W.M. – Relationships between natural terrain landslide magnitudes and triggering rainfall based on a large landslide inventory in Hong Kong – Landslides – 2018 Hazard modelling Early warning

Chen, H.X., Zhang, L.M., Gao, L., Zhu, H., Zhang, S. – Presenting regional shallow landslide movement on three-dimensional digital terrain – Engineering Geology – 2015 Hazard modelling

Gao, L., Zhang, L.M., Chen, H.X., Fei, K., Hong, Y. – Topography and geology effects on travel distances of natural terrain landslides: evidence from a large multi-temporal landslide inventory in Hong Kong – Engineering Geology – 2021 Hazard modelling

Gao, L., Zhang, L., Lu, M. – Characterizing the spatial variations and correlations of large rainstorms for landslide study – Hydrology and Earth System Sciences – 2017 Hazard modelling Early warning

Ren, T., Gong, W., Agliardi, F., et al. – A style-Pix2Pix GAN framework for data augmentation in landslide semantic segmentation – Landslides – 2026 Landslide detection

Gao, L., Zhang, L.M., Chen, H.X. – Two-dimensional simulation of debris flow impact pressures on buildings – Engineering Geology – 2017 Hazard modelling Vulnerability

Gao, L., Zhang, L.M., Chen, H.X., Shen, P. – Simulating debris flow mobility in urban settings – Engineering Geology – 2016 Hazard modelling

Zhou, X., Wen, H., Zhang, Y., Xu, J., Zhang, W. – Landslide susceptibility mapping using hybrid random forest with GeoDetector and RFE for factor optimization – Geoscience Frontiers – 2021 Susceptibility assessment (Data-Driven Models)

Wang, L., Wu, C., Tang, L., et al. – Efficient reliability analysis of earth dam slope stability using extreme gradient boosting method – Acta Geotechnica – 2020 Risk assessment

Phoon, K.K., Zhang, W. – Future of machine learning in geotechnics – Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards – 2023 Review

Zhang, W., Li, H., Tang, L., et al. – Displacement prediction of Jiuxianping landslide using gated recurrent unit (GRU) networks – Acta Geotechnica – 2022 Early warning

Fan, X., Scaringi, G., Korup, O., West, A. J., Van Westen, C. J., Tanyas, H., et al. – Earthquake-Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts – Reviews of Geophysics – 2019 Concepts mechanisms Hazard modelling Review

Dai, F. C., Xu, C., Yao, X., Xu, L., Tu, X. B., Gong, Q. M. – Spatial distribution of landslides triggered by the 2008 Ms 8.0 Wenchuan earthquake, China – Journal of Asian Earth Sciences – 2011 Landslide detection Susceptibility assessment

Xu, C., Xu, X., Yao, X., et al. – Three (nearly) complete inventories of landslides triggered by the May 12, 2008 Wenchuan Mw 7.9 earthquake of China and their spatial distribution statistical analysis – Landslides – 2014 Dataset Landslide detection

Xu, C., Dai, F., Xu, X., Lee, Y. H. – GIS-based support vector machine modeling of earthquake-triggered landslide susceptibility in the Jianjiang River watershed, China – Geomorphology – 2012 Susceptibility assessment (Data-Driven Models)

Xu, C., Xu, X., Dai, F., Saraf, A. K. – Comparison of different models for susceptibility mapping of earthquake triggered landslides related with the 2008 Wenchuan earthquake in China – Computers & Geosciences – 2012 Susceptibility assessment (Data-Driven Models)

Xu, C., Xu, X., Shyu, J. B. H. – Database and spatial distribution of landslides triggered by the Lushan, China Mw 6.6 earthquake of 20 April 2013 – Geomorphology – 2015 Dataset Landslide detection

Xie, C., Huang, Y., Xu, C., et al. – Over 100,000 landslides triggered by typhoon-induced rainfall in North China in July 2023 – Landslides – 2026 Dataset Landslide detection

He, X., Xu, C., Aretusini, S., Feng, W., Wang, H., Li, H., Di Toro, G. – Tectonic fracturing and clay enrichment in basalt slip zones: A key factor of 2019 Shuicheng landslide in southwest China – Engineering Geology – 2025 Concepts mechanisms Susceptibility assessment

Ma, X., Cui, Y., Xu, C., et al. – Database development and geometric characterization of the shallow landslides triggered bythe 16 June 2024 extreme rainfall event in Meizhou, Guangdong (China) – Landslides – 2025 Dataset Landslide detection

Martinez, S. N., Allstadt, K. E., Thompson, E. M., Ellison, S., Schaefer, L. N., Baxstrom, K. – Earthquake-triggered ground-failure inventory associated with the M7.1 2018 Southcentral Alaska earthquake – Earthquake Spectra – 2024 Dataset Landslide detection

Martinez, S. N., Schaefer, L. N., Allstadt, K. E., Thompson, E. M. – Evaluation of remote mapping techniques for earthquake-triggered landslide inventories in an urban subarctic environment: a case study of the 2018 Anchorage, Alaska earthquake – Frontiers in Earth Science – 2021 Landslide detection Dataset

Mirus, B. B., Belair, G. M., Wood, N. J., Jones, J., Martinez, S. N. – Parsimonious high-resolution landslide susceptibility modeling at continental scales – AGU Advances – 2024 Susceptibility assessment (Data-Driven Models) Hazard modelling

Wu, C., Zhang, J., Yang, C., Lu, D. – Probabilistic assessment of a road network subjected to rainfall-induced landslides – Reliability Engineering & System Safety – 2025 Risk assessment Exposure

Lu, M., Wang, H., Sharma, A., Zhang, J. – A stochastic rainfall model for reliability analysis of rainfall-induced landslides – Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards – 2025 Risk assessment Hazard modelling

Lu, M., Ceccato, F., Zhou, M., et al. – Evaluating the exceedance probability of the runout distance of rainfall-induced landslides using a two-stage FEM-MPM approach – Acta Geotechnica – 2024 Hazard modelling Risk assessment

Sun, Y., Zhang, J., Wang, H., Lu, D. – Probabilistic thresholds for regional rainfall induced landslides – Computers and Geotechnics – 2024 Early warning Risk assessment

Duan, X., Zhang, J., Huang, H., et al. – System reliability analysis of soil slopes through constrained optimization – Landslides – 2021 Risk assessment

Lu, M., Zhang, J., Zhang, L., Zhang, L. – Assessing the annual risk of vehicles being hit by a rainfall-induced landslide: a case study on Kennedy Road in Wan Chai, Hong Kong – Natural Hazards and Earth System Sciences – 2020 Risk assessment Exposure

Wang, J., Zhu, H.-H., Zhang, W., Tan, D.-Y., Pasuto, A. – Enhancing Landslide Displacement Prediction Using a Spatio-Temporal Deep Learning Model With Interpretable Features – Journal of Geophysical Research: Machine Learning and Computation – 2025 Early warning (Machine Learning)

Tian, F., Zhang, W., Zhu, H.-H., Wang, C., Chang, F.-N., Li, H.-Z., Tan, D.-Y. – Multi-temporal InSAR-based landslide dynamic susceptibility mapping of Fengjie County, Three Gorges Reservoir Area, China – Journal of Rock Mechanics and Geotechnical Engineering – 2025 Susceptibility assessment (Hybrid Models) Landslide detection