Expertise
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)Publications
Recent
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, [165289].
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 Kaikōura example.
Engineering geology,
320, [107121].
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, [105364].
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
Wang, X.
, Lombardo, L.
, & Tanyaş, H. (2023).
The potential application of statistical post processing techniques on landslide early warning system. Abstract from EGU General Assembly 2023, Vienna, Austria.
https://doi.org/10.5194/egusphere-egu23-3899
UT Research Information System
Courses Academic Year 2023/2024
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
Courses Academic Year 2022/2023
Contact Details
Visiting Address
University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds
(building no. 19), room 1415
Hallenweg 8
7522NH Enschede
The Netherlands
Mailing Address
University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds
1415
P.O. Box 217
7500 AE Enschede
The Netherlands