| Explainable artificial intelligence in geoscience: A glimpse into the future of landslide susceptibility modeling A Dahal, L Lombardo Computers & geosciences 176, 105364, 2023 | 43 | 2023 |
| Deep graphical regression for jointly moderate and extreme Australian wildfires D Cisneros, J Richards, A Dahal, L Lombardo, R Huser Spatial Statistics, 100811, 2024 | 17 | 2024 |
| 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 | 10 | 2024 |
| 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 | 10 | 2023 |
| 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 | 10 | 2022 |
| 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 | 9 | 2024 |
| 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 | 9 | 2023 |
| 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 | 9 | 2023 |
| 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 | 7 | 2024 |
| 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 | 7 | 2024 |
| 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 | 7 | 2023 |
| 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 | 4 | 2023 |
| 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 | 4 | 2020 |
| At the junction between deep learning and statistics of extremes: formalizing the landslide hazard definition A Dahal, R Huser, L Lombardo Journal of Geophysical Research: Machine Learning and Computation 1 (3 …, 2024 | 2 | 2024 |
| A closer look into variables controlling hillslope deformations in the Three Gorges Reservoir Area H Sang, L Chang, C Xi, A Dahal, L Lombardo, CJ Van Westen, B Shi, ... Engineering Geology, 107584, 2024 | 2 | 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 | 2 | 2024 |
| Regional Debris-Flow Hazard Assessments P Horton, L Lombardo, M Mergili, V Wichmann, A Dahal, B van den Bout, ... Advances in Debris-flow Science and Practice, 383-432, 2024 | 1 | 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 | 1 | 2024 |
| An ensemble neural network approach for space-time landslide predictive modelling J Lim, G Santinelli, A Dahal, A Vrieling, L Lombardo EarthArXiv, 2024 | 1 | 2024 |
| Deep Learning-Based Super-Resolution of Digital Elevation Models in Data Poor Regions. A Dahal, B Van Den Bout, CJ van Westen, M Nolde EarthArXiv, 2022 | 1 | 2022 |
Luigi LombardoAssociate Professor, Faculty of Geo-Information Science and Earth Observation, University of TwenteVerified email at utwente.nl
