Spatiotemporal Dynamics and Transboundary Differences in Fractional Vegetation Cover in the Red River Basin from 2000 to 2023

The vegetation cover in the Red River Basin (RRB) has undergone considerable changes over the past 20 years. Identifying vegetation cover and its transboundary differences is crucial for assessing the ecological health of the region. This study utilized normalized difference vegetation index (NDVI) data (2000–2023) to analyze the spatiotemporal dynamics of fractional vegetation cover (FVC) and its transboundary differences within the RRB. The results revealed the following: (1) From 2000 to 2023, overall FVC in the basin increased, with a mean value of 0.64, indicating favorable vegetation conditions. (2) In terms of spatial distribution, the RRB in China (RRBC) generally exhibited higher FVC in the west and lower FVC in the east, whereas the RRB in Vietnam and Laos (RRBVL) exhibited higher FVC in the east and lower FVC in the west. Regarding spatiotemporal changes, in RRBC, the changes were primarily characterized by both non-significant improvement (56.01%) and extremely significant improvement (21.45%). Conversely, RRBVL exhibited both areas of extremely significant improvement (25.4%) and areas of extremely significant degradation (18%). (3) Anthropogenic activities exerted a stronger influence than precipitation on both spatiotemporal changes and transboundary differences in FVC. In conclusion, an overall increase in FVC is observed throughout the RRB, with notable transboundary variations.

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Publication Details

Journal
Remote Sensing
Published
2025-08-28
DOI
https://doi.org/10.3390/rs17172986
Primary Topic
Tree-ring climate responses
Type
article
Field-Weighted Citation Impact
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article

Spatiotemporal Dynamics and Transboundary Differences in Fractional Vegetation Cover in the Red River Basin from 2000 to 2023

Zejian Qiu, Ronghua Zhong, Yun Zhang, Yiwei Zhang et al.
Remote Sensing
Tree-ring climate responses
article

Spatiotemporal Dynamics and Transboundary Differences in Fractional Vegetation Cover in the Red River Basin from 2000 to 2023

Zejian Qiu, Ronghua Zhong, Yun Zhang, Yiwei Zhang, Yifan Dong, Jintao Mao, Bailan Zhou
article en

Abstract

The vegetation cover in the Red River Basin (RRB) has undergone considerable changes over the past 20 years. Identifying vegetation cover and its transboundary differences is crucial for assessing the ecological health of the region. This study utilized normalized difference vegetation index (NDVI) data (2000–2023) to analyze the spatiotemporal dynamics of fractional vegetation cover (FVC) and its transboundary differences within the RRB. The results revealed the following: (1) From 2000 to 2023, overall FVC in the basin increased, with a mean value of 0.64, indicating favorable vegetation conditions. (2) In terms of spatial distribution, the RRB in China (RRBC) generally exhibited higher FVC in the west and lower FVC in the east, whereas the RRB in Vietnam and Laos (RRBVL) exhibited higher FVC in the east and lower FVC in the west. Regarding spatiotemporal changes, in RRBC, the changes were primarily characterized by both non-significant improvement (56.01%) and extremely significant improvement (21.45%). Conversely, RRBVL exhibited both areas of extremely significant improvement (25.4%) and areas of extremely significant degradation (18%). (3) Anthropogenic activities exerted a stronger influence than precipitation on both spatiotemporal changes and transboundary differences in FVC. In conclusion, an overall increase in FVC is observed throughout the RRB, with notable transboundary variations.

Remote SensingVol. 17(17)
Yunnan University (CN), Yunnan Environmental Protection Bureau (CN)
National Natural Science Foundation of China, National Natural Science Foundation of China-Yunnan Joint Fund
Openalex Percentile: Top 72%
Tree-ring climate responses
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Spatiotemporal Dynamics and Transboundary Differences in Fractional Vegetation Cover in the Red River Basin from 2000 to 2023 — Zejian Qiu, Ronghua Zhong, et al. · Remote Sensing (2025) | TGRS Research Map | TGRS