Publications by Thomas Glade
Featured Readings and List of Publications
Anthropocene Reads
All Publications by Univ.-Prof. Dr. Thomas Glade
2025
Pacheco Quevedo, R., Andrade Maciel, D., Oliveira Andrades-Filho, C., Fossa Sampaio Mexias, L., Garcia de Oliveira, G., Boelter Herrmann, P., Corrêa Alves, F., & Glade, T. (Accepted/In press). Could such a large landslide event be expected in Rio Grande do Sul, southern Brazil? Using past events to predict the area impacted by the 2024 Mega Disaster. EGU General Assembly, Wien, Austria.
Pacheco Quevedo, R., Andrade Maciel, D., Oliveira Andrades-Filho, C., Fossa Sampaio Mexias, L., Garcia de Oliveira, G., Boelter Herrmann, P., Corrêa Alves, F., & Glade, T. (Accepted/In press). Landslide susceptibility in Rio Grande do Sul: could past landslides indicate areas affected in May 2024?. Paper presented at Brazilian Remote Sensing Symposium, Salvador, Brazil.
2024
Carraro, E., Müller, B., Jimenez Donato, Y. A., Marr, P., & Glade, T. (2024). Spatio-temporal analysis of slope deformations to establish an effective long-term monitoring of a slow-moving landslide. In Conference Proceedings INTERPRAEVENT 2024 (pp. 458-463). Article C47
Carraro, E., Flores-Orozco, A., Monsalve Martinez, J. L., Marr, P., & Glade, T. (2024). Determination of the potential shear plane of a clay-rich, deep-seated landslide using spectral induced polarization and geotechnical approaches: case study Brandstatt, Lower Austria. EGU General Assembly 2024, Wien, Austria. https://doi.org/10.5194/egusphere-egu24-17961
Zeng, T., Jin, B., Glade, T., Xie, Y., Li, Y., Zhu, Y., & Yin, K. (2024). Assessing the imperative of conditioning factor grading in machine learning-based landslide susceptibility modeling: A critical inquiry. CATENA, 236, Article 107732. https://doi.org/10.1016/j.catena.2023.107732
Xia, D., Tang, H., Glade, T., Tang, C., & Wang, Q. (2024). KNN-GCN: A Deep Learning Approach for Slope-Unit-Based Landslide Susceptibility Mapping Incorporating Spatial Correlations. Mathematical Geosciences, 56(5), 1011-1039. https://doi.org/10.1007/s11004-023-10132-3
Glade, T. (2024). A framework for assessing the efectiveness of local stabilization measures through InSAR deformation analysis: a case study on a mega‑landslide in Chongqing, China.
Marr, P., Carraro, E., Jimenez Donato, Y. A., Kanta, R., & Glade, T. (2024). A Framework For Long-Term Landslide Monitoring Explored At Three Permanent Landslide Observatories In Lower Austria. In Conference Proceedings INTERPRAEVENT 2024 (pp. 20-23). Article A01
Zeng, T., Jin, B., Liu, Y., Glade, T., Wang, F., Yin, K., & Peduto, D. (2024). Cut slope hazard analysis and management based on a double-index precipitation threshold: a case study in the Miaoyuan area (Eastern China).
Yang, L., Wang, Y., Deng, Y., Glade, T., & Liu, J. (2024). Gondwana Research: Comprehensive Hazard Assessment of Translational Landslides through Multi-Model Integration: A Case Study of Yanshan Township in the Three Gorges Reservoir Area .
Wenzel, T., Marr, P., Glade, T., Höfler, F., Preißler, A., Adams, M., Cocuccioni, S., Pittore, M., Hürlimann, M., van Westen, C., & Atun, F. (2024). Local Natural Hazards, Cascading to Cross-Regional Risks and Impacts Along the Main Transit Route from North and South in the Austrian Alps. In International Conference on Energy and Environmental Science (pp. 359-369)
Lima, P., Jimenez Donato, Y. A., Arango, M. I., Mergili, M., Kanta, R., & Glade, T. (2024). NoeMOTION: Mobility, Hazard, and Risk Analysis of Selected Landslides in Lower Austria. Springer. SpringerBriefs in Environmental Science Vol. 1 https://doi.org/10.1007/978-3-031-55982-2
Hürlimann, M., Marr, P., Glade, T., Komendantova, N., de Zeeuw-van-Dalfsen, E., Armas, I., Kundak, S., Lantada, N., Pantaleoni Reluy, N., Wenzel, T., Alkema, D., van Westen, C., Atun, F., & Cocuccioni, S. (2024). Systemic Multi-sectoral and Multi-hazard Risk Assessment in Current and Future Scenarios. The PARATUS-Project. In International Conference on Energy and Environmental Science (pp. 425-432)
Hürlimann, M., Marr, P., Komendantova, N., Glade, T., de Zeeuw-van Dalfsen, E., Armas, I., Kundak, S., Lantada, N., Wenzel, T., Pantaleoni Reluy, N., Alkema, D., van Westen, C., Atun, F., & Cocuccioni, S. (2024). The web-based simulation and information service for multi-hazard impact chains. Design document. In Lecture Notes in Civil Engineering (pp. 425-432)
Meng, S., Shi, Z., Glade, T., & Zhou, C. (2024). Water Research: A spatio-temporal deep learning framework for prediction of reservoir landslide displacements based on reservoir water level and rainfall.
2023
Zeng, T., Wu, L., Peduto, D., Glade, T., Hayakawa, Y. S., & Yin, K. (2023). Ensemble learning framework for landslide susceptibility mapping: Different basic classifier and ensemble strategy. Geoscience Frontiers, 14(6), Article 101645. https://doi.org/10.1016/j.gsf.2023.101645
Zeng, T., Glade, T., Xie, Y., Yin, K., & Peduto, D. (2023). Deep learning powered long-term warning systems for reservoir landslides. International Journal of Disaster Risk Reduction, 94, Article 103820. https://doi.org/10.1016/j.ijdrr.2023.103820
Wang, X., Glade, T., Schmaltz, E., & Liu, X. (2023). Surveillance audio-based rainfall observation: An enhanced strategy for extreme rainfall observation. Applied Acoustics, 211, Article 109581. https://doi.org/10.1016/j.apacoust.2023.109581
Muniz Lima, P. H., Steger, S., Glade, T., & Mergili, M. (2023). Conventional data-driven landslide susceptibility models may only tell us half of the story: Potential underestimation of landslide impact areas depending on the modeling design. Geomorphology, 430(108638), 1. Article 108638. https://doi.org/10.1016/j.geomorph.2023.108638
Donato, Y. A. J., Carraro, E., Marr, P., Kanta, R., & Glade, T. (2023). Unravelling the complex dynamic of slow-moving landslides in the Flysch zone region, Lower Austria. A case study of the Hofermühle catchment.. EGU, General Assembly 2023, Wien, Austria. https://doi.org/10.5194/egusphere-egu23-10159