Assessing Dynamic Changes, Driving Mechanisms and Predictions of Multisource Vegetation Remote Sensing Products in Chinese Regions

Assessing Dynamic Changes, Driving Mechanisms and Predictions of Multisource Vegetation Remote Sensing Products in Chinese Regions

Terrestrial vegetation, a critical component of the Earth’s land surface, directly impacts the planet’s material and energy balance. This study investigated the dynamics of terrestrial vegetation in China from 2000 to 2019 using three remote sensing products (NDVI, EVI, and SIF) and explored the dri...

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Bibliographic Details
Main Authors: Yang Han, Yilin Lin, Peng Zhou, Jinjiang Duan, Zhaoxiang Cao, Jian Wang, Kui Yang
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Applied Sciences
Subjects:
NDVI (Normalized Difference Vegetation Index)
EVI (Enhanced Vegetation Index)
SIF (Solar-Induced Chlorophyll Fluorescence)
spatiotemporal variation
driving factors
CA-Markov model
Online Access:https://www.mdpi.com/2076-3417/13/9/5229

Internet

https://www.mdpi.com/2076-3417/13/9/5229

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