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Ashok Dahal
Ashok Dahal
Geverifieerd e-mailadres voor utwente.nl - Homepage
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Explainable artificial intelligence in geoscience: A glimpse into the future of landslide susceptibility modeling
A Dahal, L Lombardo
Computers & geosciences 176, 105364, 2023
262023
Methods in the spatial deep learning: current status and future direction
B Mishra, A Dahal, N Luintel, TB Shahi, S Panthi, S Pariyar, BR Ghimire
Spatial Information Research, 2022
92022
Speech-recognition in landslide predictive modelling: A case for a next generation early warning system
Z Fang, H Tanyas, T Gorum, A Dahal, Y Wang, L Lombardo
Environmental Modelling & Software 170, 105833, 2023
82023
Deep graphical regression for jointly moderate and extreme Australian wildfires
D Cisneros, J Richards, A Dahal, L Lombardo, R Huser
Spatial Statistics, 100811, 2024
72024
From ground motion simulations to landslide occurrence prediction
A Dahal, DA Castro-Cruz, H Tanyaş, I Fadel, PM Mai, M van der Meijde, ...
Geomorphology 441, 108898, 2023
62023
From spatio-temporal landslide susceptibility to landslide risk forecast
T Wang, A Dahal, Z Fang, C van Westen, K Yin, L Lombardo
Geoscience Frontiers 15 (2), 101765, 2024
42024
Dynamic rainfall-induced landslide susceptibility: a step towards a unified forecasting system
M Ahmed, H Tanyas, R Huser, A Dahal, G Titti, L Borgatti, M Francioni, ...
International Journal of Applied Earth Observation and Geoinformation 125 …, 2023
32023
Implementation of integrated geospatial platform, database, and application for disaster risk management in Uttarakhand
A Dahal, P Sharma, MK Hazarika
40th Asian Conference on Remote Sensing, ACRS 2019: Progress of Remote …, 2020
32020
High-resolution mapping of seasonal crop pattern using sentinel imagery in mountainous region of Nepal: a semi-automatic approach
B Mishra, R Bhandari, KP Bhandari, DM Bhandari, N Luintel, A Dahal, ...
Geomatics 3 (2), 312-327, 2023
22023
Space–time landslide hazard modeling via Ensemble Neural Networks
A Dahal, H Tanyas, C van Westen, M van der Meijde, PM Mai, R Huser, ...
Natural Hazards and Earth System Sciences 24 (3), 823-845, 2024
12024
At the junction between deep learning and statistics of extremes: formalizing the landslide hazard definition
A Dahal, R Huser, L Lombardo
arXiv preprint arXiv:2401.14210, 2024
12024
Assessing multi-hazard susceptibility to cryospheric hazards: Lesson learnt from an Alaskan example
L Elia, S Castellaro, A Dahal, L Lombardo
Science of the Total Environment 898, 165289, 2023
12023
On the use of explainable AI for susceptibility modeling: Examining the spatial pattern of SHAP values
N Wang, H Zhang, A Dahal, W Cheng, M Zhao, L Lombardo
Geoscience Frontiers 15 (4), 101800, 2024
2024
Investigating earthquake legacy effect on hillslope deformation using InSAR‐derived time series
K He, L Lombardo, L Chang, N Sadhasivam, X Hu, Z Fang, A Dahal, ...
Earth Surface Processes and Landforms 49 (3), 980-990, 2024
2024
A web-based multi-hazard risk simulation service based on impact chains
C Van Westen, B van den Bout, R Twayana, M Pittore, A Dahal, ...
EGU24, 2024
2024
Assessing landslide risk on a Pan-European scale
F Caleca, L Lombardo, S Steger, A Dahal, H Tanyas, F Raspini, V Tofani
EGU24, 2024
2024
Dynamic Susceptibility of Rainfall-Induced Landslides: A Gated Recurrent Unit Approach
J Lim, G Santinelli, A Dahal, A Vrieling, L Lombardo
EGU24, 2024
2024
An ensemble neural network approach for space-time landslide predictive modelling
J Lim, G Santinelli, A Dahal, A Vrieling, L Lombardo
EarthArXiv, 2024
2024
Full seismic waveform analysis combined with transformer neural networks improves coseismic landslide prediction
A Dahal, H Tanyaş, L Lombardo
Communications Earth & Environment 5 (1), 75, 2024
2024
Monitoring and prediction of InSAR-derived post-seismic hillslope deformation rates
H Tanyas, K He, N Sadhasivam, L Lombardo, L Chang, Z Fang, A Dahal, ...
EGU General Assembly 2023, 2023
2023
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Artikelen 1–20