Expertises
Earth & Environmental Sciences
# Catchment
# Debris Flow
# Earthquake
# Gully Erosion
# Landslide
# Modeling
Engineering & Materials Science
# Hazards
# Landslides
Faculty of Geo-Information Science and Earth Observation (ITC), Department of Applied Earth Sciences (AES)Publicaties
Recent
Moreno, M.
, Lombardo, L., Crespi, A., Zellner, P., Mair, V., Pittore, M.
, van Westen, C., & Steger, S. (2023).
Space-time data-driven modeling of precipitation-induced shallow landslides in South Tyrol, Italy. Earth ArXiv.
https://doi.org/10.31223/X59M3J
Elia, L., Castellaro, S.
, Dahal, A.
, & Lombardo, L. (2023).
Assessing multi-hazard susceptibility to cryospheric hazards: Lesson learnt from an Alaskan example.
Science of the total environment,
898, Article 165289. Advance online publication.
https://doi.org/10.1016/j.scitotenv.2023.165289
Cisneros, D., Richards, J.
, Dahal, A.
, Lombardo, L., & Huser, R. (2023).
Deep graphical regression for jointly moderate and extreme Australian wildfires. ArXiv.org.
https://doi.org/10.48550/arXiv.2308.14547
Ahmed, M.
, Tanyas, H., Huser, R.
, Dahal, A., Titti, G., Borgatti, L., Francioni, M.
, & Lombardo, L. (2023).
Dynamic rainfall-induced landslide susceptibility: a step towards a unified forecasting system. Earth ArXiv.
https://doi.org/10.31223/X5JT2D
Elia, L., Castellaro, S.
, Dahal, A.
, & Lombardo, L. (2023).
Assessing multi-hazard susceptibility to cryospheric hazards: lesson learnt from an Alaskan example. Earth ArXiv.
https://doi.org/10.31223/X5RQ27
Wang, T.
, Dahal, A., Fang, Z.
, van Westen, C., Yin, K.
, & Lombardo, L. (2023).
From space-time landslide susceptibility to landslide risk forecast. Earth ArXiv.
https://doi.org/10.31223/X5XT1F
Moreno, M., Steger, S.
, Tanyas, H.
, & Lombardo, L. (2023).
Modeling the area of co-seismic landslides via data-driven models: The KaikÅura example.
Engineering geology,
320, Article 107121. Advance online publication.
https://doi.org/10.1016/j.enggeo.2023.107121
Dahal, A.
, & Lombardo, L. (2023).
Explainable artificial intelligence in geoscience: A glimpse into the future of landslide susceptibility modeling.
Computers & geosciences,
176, Article 105364. Advance online publication.
https://doi.org/10.1016/j.cageo.2023.105364
Wang, N., Zhang, H.
, Dahal, A., Cheng, W., Zhao, M.
, & Lombardo, L. (2023).
On the use of explainable AI for susceptibility modeling: examining the spatial pattern of SHAP values. Earth ArXiv.
https://doi.org/10.31223/X5P078
Satyaningsih, R.
, Jetten, V.
, Ettema, J., Sopaheluwakan, A.
, Lombardo, L., & Nuryanto, D. (2023).
Dynamic rainfall thresholds for landslide early warning in Progo Catchment, Java, Indonesia. Earth ArXiv.
https://doi.org/10.31223/X5M64K
Pure Link
Vakken Collegejaar 2023/2024
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 2022/2023
Contactgegevens
Bezoekadres
Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds
(gebouwnr. 19), kamer 1415
Hallenweg 8
7522NH Enschede
Postadres
Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds
1415
Postbus 217
7500 AE Enschede