A Framework for Separating Climate and Anthropogenic Contributions to Evapotranspiration Changes in Natural to Agricultural Regions of Watersheds Based on Machine Learning

A Framework for Separating Climate and Anthropogenic Contributions to Evapotranspiration Changes in Natural to Agricultural Regions of Watersheds Based on Machine Learning

Evapotranspiration is a crucial component of the water cycle and is significantly influenced by climate change and human activities. Agricultural expansion, as a major aspect of human activity, together with climate change, profoundly affects regional ET variations. This study proposes a quantificat...

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Bibliographic Details
Main Authors: Zixin Liang, Fengping Li, Hongyan Li, Guangxin Zhang, Peng Qi
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Remote Sensing
Subjects:
evapotranspiration
agricultural expansion
climate change
random forest regression
self-organizing map
Songhua river basin
Online Access:https://www.mdpi.com/2072-4292/16/23/4408
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