Expertise
Engineering & Materials Science
# Deep Learning
# Disasters
# Geographic Information Systems
# Landslides
# Population Distribution
# Satellite Imagery
Earth & Environmental Sciences
# Landslide
# Population Distribution
Faculty of Geo-Information Science and Earth Observation (ITC), Department of Applied Earth Sciences (AES)Research
Geo-AI Based Modelling of Earthquake Induced Landslides Using Ground Motion Simulation
Publications
Recent
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
He, K.
, Lombardo, L.
, Chang, L., Sadhasivam, N., Hu, X.
, Fang, Z.
, Dahal, A.
, Fadel, I., Luo, G.
, & Tanyas, H. (2022).
Hillslope recovery after a major earthquake: InSAR-derived time series analyses to capture earthquake-legacy effect.
https://doi.org/10.31223/X5Q65W
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
Dahal, A.
, & Lombardo, L. (2022).
Explainable artificial intelligence in geoscience: a glimpse into the future of landslide susceptibility modeling. Earth and Space Science Open Archive.
https://doi.org/10.1002/essoar.10512130.1
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
Mishra, B.
, Dahal, A., Luintel, N., Shahi, T. B., Panthi, S., Pariyar, S., & Ghimire, B. R. (2022).
Methods in the spatial deep learning: current status and future direction.
Spatial Information Research,
30(2), 215-232.
https://doi.org/10.1007/s41324-021-00425-2
Dahal, A., Sharma, P., & Hazarika, M. K. (2020).
Implementation of integrated geospatial platform, database, and application for disaster risk management in Uttarakhand. 1-10. Paper presented at 40th Asian Conference on Remote Sensing, ACRS 2019 , Daejeon, Korea, Republic of.
Dan, T. T., Hazarika, M. K., Miyazaki, H., Nashrrullah, S.
, Dahal, A., & Shibasaki, R. (2018).
Estimation of population distribution using satellite imagery and GIS data. 539-547. Paper presented at 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018, Kuala Lumpur, Malaysia.
UT Research Information System
Google Scholar Link
Contact Details
Visiting Address
University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC
(building no. 75), room 5-046
Hengelosestraat 99
7514AE Enschede
The Netherlands
Mailing Address
University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC
5-046
P.O. Box 217
7500 AE Enschede
The Netherlands