Quantifying responses of climatic and anthropogenic factors on vegetation normalized difference vegetation index variabilities over Yellow River Basin, China

Both climatic and anthropogenic factors drove the vegetation growth. In the alpine source regions of the Yellow river, climatic factors were the primary drivers of significant NDVI change. In the MB_YRB (middle basin) and the LB_YRB (lower basin), human activities were the main factors driving vegetation greening. Only in areas with urban agglomeration, such as Xi'an, Zhengzhou and Xi'ning cities, were anthropogenic activities associated with vegetation browning.

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Publication Details

Journal
Frontiers in Plant Science
Published
2026-02-27
DOI
https://doi.org/10.3389/fpls.2026.1756685
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
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article

Quantifying responses of climatic and anthropogenic factors on vegetation normalized difference vegetation index variabilities over Yellow River Basin, China

Zhilei Yu, Ligen Wang, Zhe Yuan, Xiangyang Zhang et al.
Frontiers in Plant Science
Remote Sensing in Agriculture
article

Quantifying responses of climatic and anthropogenic factors on vegetation normalized difference vegetation index variabilities over Yellow River Basin, China

Zhilei Yu, Ligen Wang, Zhe Yuan, Xiangyang Zhang, Junfei Yan
article en

Abstract

Both climatic and anthropogenic factors drove the vegetation growth. In the alpine source regions of the Yellow river, climatic factors were the primary drivers of significant NDVI change. In the MB_YRB (middle basin) and the LB_YRB (lower basin), human activities were the main factors driving vegetation greening. Only in areas with urban agglomeration, such as Xi'an, Zhengzhou and Xi'ning cities, were anthropogenic activities associated with vegetation browning.

Frontiers in Plant ScienceVol. 17
Changjiang Water Resources Commission (CN), Zhengzhou University (CN), Institute of Soil and Water Conservation (CN), Ministry of Water Resources of the People's Republic of China (CN)
Sustainable cities and communities
Openalex Percentile: Top 49%
Remote Sensing in Agriculture
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