prof.dr. C.J. van Westen (Cees)

Earth & Environmental Sciences

# Debris Flow
# Earthquake
# Hazard
# Landslide
# Rainfall
# Risk Assessment
# Sichuan Earthquake 2008

Engineering & Materials Science

# Landslides

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Applied Earth Sciences (AES)

Trigg, M. A., Dehghani, M. S., Kesete, Y. Y., Carr, A. B., Trigg, S. G., Zekkos, D., Lopez, D., Pertierra, M. , van Westen, C. , Jetten, V., & Ogden, F. L. (2023). Realities of bridge resilience in Small Island Developing States. Mitigation and adaptation strategies for global change, 28(1), [1]. https://doi.org/10.1007/s11027-022-10035-4

Dou, X., Fan, X., Wang, X., Yunus, A. P., Xiong, J., Tang, R., Lovati, M. , van Westen, C., & Xu, Q. (2023). Spatio-temporal evolution of glacial lakes in the Tibetan Plateau over the past 30 years. Remote sensing, 15(2), [416]. https://doi.org/10.3390/rs15020416

Bhuyan, K. , Meena, S. R., Nava, L. , van Westen, C., Floris, M., & Catani, F. (2023). Mapping landslides through a temporal lens: an insight toward multi-temporal landslide mapping using the u-net deep learning model. GIScience and Remote Sensing, 60(1), [2182057]. https://doi.org/10.1080/15481603.2023.2182057

van den Bout, B. , Jetten, V. , van Westen, C. , & Lombardo, L. (2023). Fastflood.org, an open-source super-fast flood model in the browser. Abstract from EGU General Assembly 2023, Vienna, Austria. https://doi.org/10.5194/egusphere-egu23-3611

Lombardo, L. , Fang, Z., Wang, Y. , & van Westen, C. (2023). Space-time landslide size modelling in Taiwan. Abstract from EGU General Assembly 2023, Vienna, Austria. https://doi.org/10.5194/egusphere-egu23-6999

Dahal, A. , Tanyas, H. , van Westen, C. , van der Meijde, M., Mai, P. M., Huser, R. , & Lombardo, L. (2023). Space-time modelling of co-seismic and post-seismic landslide hazard via Ensemble Neural Networks.. Abstract from EGU General Assembly 2023, Vienna, Austria. https://doi.org/10.5194/egusphere-egu23-3496

Moreno, M., Steger, S. , Lombardo, L., Opitz, T., Crespi, A., Marra, F., Vugt, L. D., Zieher, T., Rutzinger, M., Mair, V., Pittore, M. , & van Westen, C. (2023). Functional regression for space-time prediction of precipitation-induced shallow landslides in South Tyrol, Italy . Abstract from EGU General Assembly 2023, Vienna, Austria. https://doi.org/10.5194/egusphere-egu23-9538

Bhuyan, K. , Tanyaş, H., Nava, L., Puliero, S. , Meena, S. R., Floris, M. , van Westen, C., & Catani, F. (2023). Generating multi-temporal landslide inventories through a general deep transfer learning strategy using HR EO data. Scientific reports, 13(1), [162]. https://doi.org/10.1038/s41598-022-27352-y

Dahal, A., Cruz, D. A. C. , Tanyas, H. , Fadel, I., Mai, P. M. , Meijde, M. V. D. , Westen, C. V., Huser, R. , & Lombardo, L. (2023). From ground motion simulations to landslide occurrence prediction. Earth ArXiv. https://doi.org/10.31223/X5WM0P

Subiyantoro, A. , Van Westen, C. J. , van den Bout, B., Yuniawan, R. A., & Mulyana, A. R. (2022). Semi-automatic Landslide Detection Using Google Earth Engine, a Case Study in Poi Village, Central Sulawesi. In 2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology, ICARES 2022 - Proceedings IEEE. https://doi.org/10.1109/ICARES56907.2022.9993507

Chen, Y. , van den Bout, B. , Lombardo, L. , & van Westen, C. (2022). Modeling Earthquake-induced Landslide initiation using the Fibre Bundle Model. Earth ArXiv. https://doi.org/10.31223/X5C364

van den Bout, B. , Jetten, V. , van Westen, C. , & Lombardo, L. (2022). A breakthrough in fast flood simulation. Earth ArXiv. https://doi.org/10.31223/X5MM2Z

Wang, N., Cheng, W., Zhang, H. , van Westen, C., Xiong, J., Liu, C. , & Lombardo, L. (2022). Impact-based probabilistic modeling of hydro-morphological processes in China (1985-2015). Earth ArXiv. https://doi.org/10.31223/X5336N

Dahal, A. , van den Bout, B. , van Westen, C., & Nolde, M. (2022). Deep Learning-Based Super-Resolution of Digital Elevation Models in Data Poor Regions. Earth ArXiv. https://doi.org/10.31223/X5DD21

van den Bout, B., Tang, C. , van Westen, C. , & Jetten, V. G. (2022). Physically based modeling of co-seismic landslide, debris flow, and flood cascade. Natural hazards and earth system sciences, 22(10), 3183-3209. https://doi.org/10.5194/nhess-22-3183-2022

Fang, Z., Wang, Y. , van Westen, C. , & Lombardo, L. (2022). Space-time landslide size modelling in Taiwan. Earth ArXiv. https://doi.org/10.31223/X5HH1M

Bhuyan, K. , van Westen, C. , Wang, J. , & Meena, S. R. (2022). Mapping and characterising buildings for flood exposure analysis using open-source data and artificial intelligence. Natural hazards, 1-31. https://doi.org/10.1007/s11069-022-05612-4

van den Bout, B., Tang, C. , van Westen, C. , & Jetten, V. (2022). Physically-based modelling of co-seismic landslide, debris flow and flood cascade. European Geophysical Union (EGU). https://doi.org/10.5194/nhess-2021-292

Subiyantoro, A. , van Westen, C. , van den Bout, B. , Jetten, V., Muntohar, A., Mushthofa, A., Yuniawan, R. A., & Satyaningsih, R. (2022). Development of a local impact-based Landslide Early Warning System using physically-based multi-hazards modelling and machine learning in Java, Indonesia.. Abstract from EGU General Assembly 2022, Vienna, Austria. https://doi.org/10.5194/egusphere-egu22-6969

van Westen, C., Hazarika, M. K. , Dahal, A., Kshetri, T., Shakya, A., & Nashrrullah, S. (2022). The RiskChanges tool for multi-hazard risk-informed planning at local government level. Abstract from EGU General Assembly 2022, Vienna, Austria. https://doi.org/10.5194/egusphere-egu22-3026

Yuniawan, R. A., Rifai, A., Faris, F. , van Westen, C. , Jetten, V. , van den Bout, B. , Subiyantoro, A., Muntohar, A., Musthofa, A., Hidayat, R., Hidayah, A., Ridwan, B., Priangga, E. , Satyaningsih, R., & Sutanto, S. (2022). Revisited rainfall threshold In the Indonesia landslide early warning system . Abstract from EGU General Assembly 2022, Vienna, Austria. https://doi.org/10.5194/egusphere-egu22-7863

Bhuyan, K. , Meena, S., Nava, L. , Westen, C. V., Floris, M., & Catani, F. (2022). Mapping landslides through a temporal lens: An insight towards multi-temporal landslide mapping using the U-Net deep learning model. Earth ArXiv. https://doi.org/10.31223/X5DM0B

van den Bout, B. , van Westen, C. , & Jetten, V. G. (2022). Non-monotonic relationships between return periods of precipitation surface hazard intensity. Water (Switzerland), 14(9), [1348]. https://doi.org/10.3390/w14091348

Hao, L. , van Westen, C., Rajaneesh, A., Sajinkumar, K. S., Martha, T. R., & Jaiswal, P. (2022). Evaluating the relation between land use changes and the 2018 landslide disaster in Kerala, India. Catena, 216(Part A), [106363]. https://doi.org/10.1016/j.catena.2022.106363

Moreno, M., Steger, S. , Lombardo, L., Crespi, A., Zellner, P. J., Pittore, M., Mair, V. , & van Westen, C. (2022). Space-time modeling of rainfall-induced shallow landslides in South Tyrol, Italy. Abstract from EGU General Assembly 2022, Vienna, Austria. https://doi.org/10.5194/egusphere-egu22-9175

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Naar mijn profiel

Master

Geo-Information Science and Earth Observation

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.

+31534874263

+31534874426 (bij geen gehoor)

c.j.vanwesten@utwente.nl

research.utwente.nl/en/persons/cj-van-westen

Bezoekadres

Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds (gebouwnr. 19), kamer 1432
Hallenweg 8
7522NH Enschede

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Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds 1432
Postbus 217
7500 AE Enschede

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Applied Earth Sciences (AES)

Universiteit Twente Drienerlolaan 5
7522 NB Enschede

+31 (0)53 489 9111
info@utwente.nl
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