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A. Dahal MSc (Ashok)

PhD Candidate

Expertise

Engineering & Materials Science
Deep Learning
Disasters
Geographic Information Systems
Landslides
Population Distribution
Satellite Imagery
Earth & Environmental Sciences
Landslide
Population Distribution

Research

Geo-AI Based Modelling of Earthquake Induced Landslides Using Ground Motion Simulation

Publications

Recent
Mishra, B., Bhandari, R., Bhandari, K. P., Bhandari, D. M., Luintel, N. , Dahal, A., & Poudel, S. (2023). High-resolution mapping of seasonal crop pattern using sentinel imagery in mountainous region of Nepal: A semi-automatic approach. Geomatics, 3(2), 312-327. https://doi.org/10.3390/geomatics3020017
Tanyas, H., He, K., Sadhasivam, N. , Lombardo, L. , Chang, L., Fang, Z. , Dahal, A. , Fadel, I., Hu, X., & Luo, G. (2023). Monitoring and prediction of InSAR-derived post-seismic hillslope deformation rates. Abstract from EGU General Assembly 2023, Vienna, Austria. https://doi.org/10.5194/egusphere-egu23-14415
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

UT Research Information System

Google Scholar Link

Contact Details

Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds (building no. 19), room 2419
Hallenweg 8
7522NH  Enschede
The Netherlands

Mailing Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds  2419
P.O. Box 217
7500 AE Enschede
The Netherlands