Efficiency of artificial neural networks for glacier ice-thickness estimation: a case study in western Himalaya, India

Knowledge of glacier volume is crucial for ice flow modelling and predicting the impacts of climate change on glaciers. Rugged terrain, harsh weather conditions and logistic costs limit field-based ice thickness observations in the Himalaya. Remote-sensing applications, together with mathematical mo...

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Bibliographic Details
Main Authors: Mohd Anul Haq, Mohd Farooq Azam, Christian Vincent
Format: Article
Language:English
Published: Cambridge University Press 2021-08-01
Series:Journal of Glaciology
Subjects:
Online Access:https://www.cambridge.org/core/product/identifier/S0022143021000198/type/journal_article