Spatiotemporal Evolution and Driving Mechanisms of kNDVI in Different Sections of the Yangtze River Basin Using Multiple Statistical Methods and the PLSPM Model

Spatiotemporal Evolution and Driving Mechanisms of kNDVI in Different Sections of the Yangtze River Basin Using Multiple Statistical Methods and the PLSPM Model

Spatiotemporal vegetation changes serve as a key indicator of regional ecological environmental quality and provide crucial guidance for developing strategies for regional ecological protection and sustainable development. Currently, vegetation change studies in the Yangtze River Basin primarily rel...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhenjiang Wu, Fengmei Yao, Adeel Ahmad, Fan Deng, Jun Fang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Remote Sensing
Subjects:
Yangtze River Basin
kNDVI
spatiotemporal evolution
PLSPM
driving mechanisms
Online Access:https://www.mdpi.com/2072-4292/17/2/299
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items