Expertises
Earth & Environmental Sciences
# Debris Flow
# Earthquake
# Hazard
# Landslide
# Rainfall
# Risk Assessment
# Sichuan Earthquake 2008
Engineering & Materials Science
# Landslides
Verbonden aan
Publicaties
Recent
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
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
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
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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Master
Vakken Collegejaar 2022/2023
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.
Vakken Collegejaar 2021/2022
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Bezoekadres
Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds
(gebouwnr. 19), kamer 1432
Hallenweg 8
7522NH Enschede
Postadres
Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds
1432
Postbus 217
7500 AE Enschede