A Hybrid Framework for Simulating Actual Evapotranspiration in Data-Deficient Areas: A Case Study of the Inner Mongolia Section of the Yellow River Basin

A Hybrid Framework for Simulating Actual Evapotranspiration in Data-Deficient Areas: A Case Study of the Inner Mongolia Section of the Yellow River Basin

Evapotranspiration (ET) plays an important role in transferring water and converting energy in the land–atmosphere system. Accurately estimating ET is crucial for understanding global climate change, ecological environmental problems, the water cycle, and hydrological processes. Machine learning (ML...

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Bibliographic Details
Main Authors: Xiaoman Jiang, Guoqiang Wang, Yuntao Wang, Jiping Yao, Baolin Xue, Yinglan A
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Remote Sensing
Subjects:
machine learning
random forest
actual evapotranspiration
spatiotemporal distribution
Online Access:https://www.mdpi.com/2072-4292/15/9/2234

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