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)

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

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

Chen, Y. , van den Bout, B. , van Westen, C. , & Lombardo, L. (2022). Co-seismic Landslide Susceptibility Modelling Based on the Fibre Bundle Model. Abstract from EGU General Assembly 2022, Vienna, Austria. https://doi.org/10.5194/egusphere-egu22-8382

Ahmad, S. M., Sadhasivam, N., Lisa, M. , Lombardo, L., Emil, M. , Fadel, I. , van Westen, C. , Ahmed, A. , & Tanyas, H. (2022). Standing on the shoulder of a giant landslide: an InSAR look at a slow-moving hillslope under melting glaciers in the western Karakoram. Earth ArXiv. https://doi.org/10.31223/X5P63T

Moreno, M., Steger, S. , Lombardo, L., Vugt, L. D., Zieher, T., Rutzinger, M., Pittore, M., Mair, V. , & van Westen, C. (2022). Comparing different strategies to incorporate the effectively surveyed area into landslide susceptibility modeling . Abstract from 10th International Conference on Geomorphology, ICG 2022, Coimbra, Portugal. https://doi.org/10.5194/icg2022-563

Fang, Z., Wang, Y. , van Westen, C. , & Lombardo, L. (2022). Space-time landslide susceptibility modelling in Taiwan. Earth ArXiv. https://doi.org/10.31223/X5306M

Bryce, E. , Lombardo, L. , van Westen, C. , Tanyas, H., & Castro-Camilo, D. (2022). Unified landslide hazard assessment using hurdle models: a case study in the Island of Dominica. Stochastic environmental research and risk assessment, 36(8), 2071-2084. https://doi.org/10.1007/s00477-022-02239-6

Bhuyan, K. , Tanyas, H., Nava, L., Puliero, S. , Meena, S. R., Floris, M., Catani, F. , van Westen, C., & Pareek, T. (2022). Multi-spatiotemporal landslide mapping for landslide evolutionary investigation. Abstract from EGU General Assembly 2022, Vienna, Austria. https://doi.org/10.5194/egusphere-egu22-1356

Dahal, A. , van den Bout, B. , van Westen, C. J., & Nolde, M. (2022). Spatial Loss Function for Super-Resolution of Geoscientific Data. Paper presented at Living Planet Symposium, LPS 2022, Bonn, North Rhine-Westphalia, Germany.

Dahal, A. , Tanyas, H. , van Westen, C. , van der Meijde, M., Mai, P. M., Huser, R. , & Lombardo, L. (2022). Space-time landslide hazard modeling via ensemble neural networks. Earth ArXiv. https://doi.org/10.31223/X5B075

Yuniawan, R. A., Rifa’i, A., Faris, F. , Subiyantoro, A. , Satyaningsih, R., Hidayah, A. N., Hidayat, R., Mushthofa, A., Ridwan, B. W., Priangga, E., Muntohar, A. S. , Jetten, V. G. , van Westen, C. J. , van den Bout, B., & Sutanto, S. J. (2022). Revised rainfall threshold in the Indonesian landslide early warning system. Geosciences (Switzerland), 12(3), 1-17. [129]. https://doi.org/10.3390/geosciences12030129

Meena, S. R., Soares, L. P., Grohmann, C. H. , van Westen, C., Bhuyan, K., Singh, R. P., Floris, M., & Catani, F. (2022). Landslide detection in the Himalayas using machine learning algorithms and U-Net. Landslides, 19, 1209-1229. https://doi.org/10.1007/s10346-022-01861-3

Titti, G. , van Westen, C. J., Borgatti, L., Pasuto, A. , & Lombardo, L. (2021). When enough is really enough? On the minimum number of landslides to build reliable susceptibility models. Geosciences (Switzerland), 11(11), 1-26. [469]. https://doi.org/10.3390/geosciences11110469

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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.

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c.j.vanwesten@utwente.nl

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

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Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
ITC (gebouwnr. 75), kamer 5-043
Hengelosestraat 99
7514AE Enschede

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Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
ITC 5-043
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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