Spatiotemporal Soil Moisture Prediction Using a Causal-Guided Deep Learning Model

Spatiotemporal Soil Moisture Prediction Using a Causal-Guided Deep Learning Model

The spatiotemporal prediction of RZSM refers to the process of estimating its future spatial distribution and temporal variations using predictive models. The accurate spatiotemporal predictions of soil moisture provide insights into future conditions, supporting decision making in applications, suc...

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Bibliographic Details
Main Authors: Tingtao Wu, Lei Xu, Ziwei Pan, Ruinan Cai, Jin Dai, Shuang Yang, Xihao Zhang, Xi Zhang, Nengcheng Chen
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Causal inference
deep learning
soil moisture
spatiotemporal prediction
Online Access:https://ieeexplore.ieee.org/document/10976363/
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