Expertises
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)Publicaties
Recent
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.
, & Westen, C. V. (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
Muntohar, A.
, Mavrouli, O. C.
, van Westen, C. J.
, Jetten, V. G., & Hidayat, R. (2021).
Development of landslide early warning system based on the satellite-derived rainfall threshold in Indonesia. In N. Casagle, V. Tofani, K. Sassa, P. T. Bobrowsky, & K. Takara (Eds.),
Understanding and Reducing Landslide Disaster Risk. WLF 2020. ICL Contribution to Landslide Disaster Risk Reduction (pp. 227). Springer.
https://doi.org/10.1007/978-3-030-60311-3_26
Nappo, N.
, Mavrouli, O.
, Nex, F.
, van Westen, C., Gambillara, R., & Michetti, A. M. (2021).
Use of UAV-based photogrammetry products for semi-automatic detection and classification of asphalt road damage in landslide-affected areas.
Engineering geology,
294, [106363].
https://doi.org/10.1016/j.enggeo.2021.106363
Tanyaş, H., Kirschbaum, D.
, Görüm, T.
, van Westen, C. J.
, Tang, C.
, & Lombardo, L. (2021).
A closer look at factors governing landslide recovery time in post-seismic periods.
Geomorphology,
391, 1-13. [107912].
https://doi.org/10.1016/j.geomorph.2021.107912
Emtehani, S.
, Jetten, V. G.
, van Westen, C. J.
, & Shrestha, D. P. (2021).
Quantifying Sediment Deposition Volume in Vegetated Areas with UAV Data.
Remote sensing,
13(12), 1-24. [2391].
https://doi.org/10.3390/rs13122391
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Verbonden aan Opleidingen
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
Contactgegevens
Bezoekadres
Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
ITC
(gebouwnr. 75), kamer 5-043
Hengelosestraat 99
7514AE Enschede
Postadres
Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
ITC
5-043
Postbus 217
7500 AE Enschede