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Akademický článek

Predicting future evapotranspiration based on remote sensing and deep learning

Autor: Xin Zheng, Sha Zhang, Shanshan Yang, Jiaojiao Huang, Xianye Meng, Jiahua Zhang, Yun Bai

Publikováno v: Journal of Hydrology: Regional Studies, Vol 56, Iss , Pp 102023- (2024)

Study region: The watersheds of the four flux sites in the United States were selected as the study areas for this research. Study focus: This study validates the efficiency of Convolutional Long Short-Term Memory Network (ConvLSTM) models for site-s

Externí odkaz: https://doaj.org/article/a1d3544321cf4b0a993d9fe498e98712

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Akademický článek

Prediction of Large-Scale Regional Evapotranspiration Based on Multi-Scale Feature Extraction and Multi-Headed Self-Attention

Autor: Xin Zheng, Sha Zhang, Jiahua Zhang, Shanshan Yang, Jiaojiao Huang, Xianye Meng, Yun Bai

Publikováno v: Remote Sensing, Vol 16, Iss 7, p 1235 (2024)

Accurately predicting actual evapotranspiration (ETa) at the regional scale is crucial for efficient water resource allocation and management. While previous studies mainly focused on predicting site-scale ETa, in-depth studies on regional-scale ETa

Externí odkaz: https://doaj.org/article/87686ef795c5429381ba1da89753cb37

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