Upscaling of Latent Heat Flux in Heihe River Basin Based on Transfer Learning Model

Upscaling of Latent Heat Flux in Heihe River Basin Based on Transfer Learning Model

Latent heat flux (LE) plays an essential role in the hydrological cycle, surface energy balance, and climate change, but the spatial resolution of site-scale LE extremely limits its application potential over a regional scale. To overcome the limitation, five transfer learning models were constructe...

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Bibliographic Details
Main Authors: Jing Lin, Tongren Xu, Gangqiang Zhang, Xiangping He, Shaomin Liu, Ziwei Xu, Lifang Zhao, Zongbin Xu, Jiancheng Wang
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Remote Sensing
Subjects:
artificial neural networks
random forests
extreme gradient boosting
transfer learning
product ensemble
Online Access:https://www.mdpi.com/2072-4292/15/7/1901

Internet

https://www.mdpi.com/2072-4292/15/7/1901

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