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Amin Shakya
Amin Shakya
ITC Faculty of Geo-Information Science and Earth Observation, University of Twente
Verified email at utwente.nl - Homepage
Title
Cited by
Cited by
Year
Identification of groundwater potential zones in data-scarce mountainous region using explainable machine learning
K Dahal, S Sharma, A Shakya, R Talchabhadel, S Adhikari, A Pokharel, ...
Journal of Hydrology 627, 130417, 2023
12023
Estimating terrestrial water storage trends by developing a joint inversion scheme using GRACE and GRACE-FO data
S Karimi, A Shakya, R Rietbroek, MP de Vries, C van der Tol
EGU24, 2024
2024
Challenges for a Better Use of Crowdsourcing Information in Climate Emergency Situational Awareness and Early Warning Systems
M Kalas, J Ommer, A Shakya, S Vraníc, D Kolokol, T Sabattini
Responding to Extreme Weather Events, 141-162, 2024
2024
Unravelling watershed fluxes to detect emerging changes of the water balance
R Rietbroek, S Karimi, A Shakya
EGU General Assembly Conference Abstracts, EGU-13524, 2023
2023
Towards developing a generic method for predicting Flow Resistance in Alluvial Rivers using Machine Learning
A Shakya, S Giri, T Iwasaki, M Nabi, B Bhattacharya, DP Solomatine
AGU Fall Meeting Abstracts 2022, H11J-05, 2022
2022
Climate Change and Karst Aquifers–Methodologies Review
J KRSTAJIC, Q YE, J STEYAERT, A SHAKYA
International Symposium on Drought and Climate Change 24, 25, 2022
2022
Geospatial Information Knowledge Platform (GeoIKP) for NatureBased Solutions: Recent Progress and a Way Forward
SDS Amin Shakya, Milan Kalas, Joy Ommer, Laura Leo
Water Security and Climate Change Conference, 2022
2022
Geomorphological considerations for river studies in the Nepali context
BB Amin Shakya, Sanjay Giri, Toshiki Iwasaki
KEC Conference, 2022
2022
Citizen science landscape in Nepal: A case for a national citizen science repository
JLFM Amin Shakya, Nowrina Rahim
KEC Conference, 282, 2022
2022
Towards capturing bedform transition: harnessing capabilities of CFD bedform models and machine learning
A Shakya, S Giri, T Iwasaki, M Nabi, B Bhattacharya, D Solomatine
EGU General Assembly 2022, EGU22-2398, 2022
2022
Recent advances on bedform research and application: Process-based to machine learning
S Giri, A Shakya, M Nabi, S Naqshband, T Iwasaki, S Yamaguchi, ...
EGU General Assembly Conference Abstracts, EGU21-9017, 2021
2021
Approaches to predict bedform states, associated flow resistance and depth: Physics-based to machine learning
A Shakya, S Giri, DC Froehlich, T Iwasaki, S Yamaguchi, M Nabi, ...
NCR DAYS 2021: Rivers in an uncertain future, 90-91, 2021
2021
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