Vegetation Dynamics and Driving Mechanisms in the Western Sichuan Basin Revealed by An Integrated Analytical Framework Based on Trend Analysis and Machine Learning Algorithms

Identifying vegetation trends and their driving mechanisms under the combined influence of natural and anthropogenic factors is essential for understanding ecosystem dynamics, particularly in ecologically sensitive mountainous regions. This study deve

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Published
2025-10-10
DOI
https://doi.org/10.22541/au.176008345.56709081/v1
Primary Topic
Remote Sensing and Land Use
Type
article
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Vegetation Dynamics and Driving Mechanisms in the Western Sichuan Basin Revealed by An Integrated Analytical Framework Based on Trend Analysis and Machine Learning Algorithms

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Remote Sensing and Land Use
article

Vegetation Dynamics and Driving Mechanisms in the Western Sichuan Basin Revealed by An Integrated Analytical Framework Based on Trend Analysis and Machine Learning Algorithms

Zilin Ye, Liuhui Zhao, Zhengjun Gong, Xun Gong, Dongmei Wang, Zhixiao Zhang, Fanqiang Meng, Yugang Wang
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Abstract

Identifying vegetation trends and their driving mechanisms under the combined influence of natural and anthropogenic factors is essential for understanding ecosystem dynamics, particularly in ecologically sensitive mountainous regions. This study deve

Southwest Jiaotong University (CN)
Openalex Percentile: Top 67%
Remote Sensing and Land Use
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Vegetation Dynamics and Driving Mechanisms in the Western Sichuan Basin Revealed by An Integrated Analytical Framework Based on Trend Analysis and Machine Learning Algorithms — Zilin Ye, Liuhui Zhao, et al. · (2025) | TGRS Research Map | TGRS