Soil Moisture Prediction Using the VIC Model Coupled with LSTMseq2seq

Soil moisture (SM) is a key variable in agricultural ecosystems and is crucial for drought prevention and control management. However, SM is influenced by underlying surface and meteorological conditions, and it changes rapidly in time and space. To capture the changes in SM and improve the accuracy...

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Auteurs principaux:	Xiuping Zhang, Xiufeng He, Rencai Lin, Xiaohua Xu, Yanping Shi, Zhenning Hu
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2025-07-01
Collection:	Remote Sensing
Sujets:	soil moisture VIC-LSTMseq2seq model deep learning prediction
Accès en ligne:	https://www.mdpi.com/2072-4292/17/14/2453
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