Welkom...

A. Dahal MSc (Ashok)

Promovendus

Expertises

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

Onderzoek

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

Publicaties

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, Article 165289. Advance online publication. https://doi.org/10.1016/j.scitotenv.2023.165289
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

Pure Link

Google Scholar Link

Contactgegevens

Bezoekadres

Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds (gebouwnr. 19), kamer 2419
Hallenweg 8
7522NH  Enschede

Postadres

Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds  2419
Postbus 217
7500 AE Enschede