Deep learning for drought and vegetation health modelling: Demonstrating the utility of an entity-aware LSTM

T Lees, G Tseng, S Reece… - EGU General Assembly …, 2020 - ui.adsabs.harvard.edu
Tools from the field of deep learning are being used more widely in hydrological science.
The potential of these methods lies in the ability to generate interpretable and physically …
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Deep Learning for Drought and Vegetation Health Modelling: Demonstrating the utility of an Entity-Aware LSTM

T Lees, G Tseng, S Reece, S Dadson - 2020 - meetingorganizer.copernicus.org
Tools from the field of deep learning are being used more widely in hydrological science.
The potential of these methods lies in the ability to generate interpretable and physically …

Deep Learning for Drought and Vegetation Health Modelling: Demonstrating the utility of an Entity-Aware LSTM

T Lees, G Tseng, S Reece, S Dadson - 2020 - meetingorganizer.copernicus.org
Tools from the field of deep learning are being used more widely in hydrological science.
The potential of these methods lies in the ability to generate interpretable and physically …