Comprehensive Analysis for Long-Term Hydrological Simulation by Deep Learning Techniques and Remote Sensing

Comprehensive Analysis for Long-Term Hydrological Simulation by Deep Learning Techniques and Remote Sensing

Hydrological simulation plays a very important role in understanding the hydrological processes and is of great significance to flood forecasting and optimal allocation of water resources in the watershed. The development of deep learning techniques has brought new opportunities and methods for long...

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Bibliographic Details
Main Authors: Chaowei Xu, Yizhen Wang, Hao Fu, Jiashuai Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Earth Science
Subjects:
hydrological simulation
soil and water assessment tool
deep learning techniques
remote sensing
CNN–LSTM
CNN–GRU
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2022.875145/full

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https://www.frontiersin.org/articles/10.3389/feart.2022.875145/full

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