Towards interpreting machine learning models for understanding the relationship between vegetation growth and climate factors: A case study of the Anhui Province, China

The prediction of vegetation evolution and the understanding of its relationship with climate factors are essential for environmental protection, land use management, and policy planning. It is crucial to investigate accurate prediction methods for vegetation evolution and explore the impacts of cli...

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Bibliographic Details

Published in:	Ecological Indicators
Main Authors:	Nana Bao, Kai Peng, Xingting Yan, Yanxi Lu, Mingyu Liu, Chenyang Li, Boyuan Zhao
Format:	Article
Language:	English
Published:	Elsevier 2024-10-01
Subjects:	Vegetation index Climate Machine learning Interpretable methods Anhui Province
Online Access:	http://www.sciencedirect.com/science/article/pii/S1470160X24010938