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:	Cao, Z. (Author), Duan, J. (Author), Han, Y. (Author), Lin, Y. (Author), Wang, J. (Author), Yang, K. (Author), Zhou, P. (Author)
Format:	Article
Language:	English
Published:	MDPI 2023
Subjects:	CA-Markov model driving factors EVI (Enhanced Vegetation Index) NDVI (Normalized Difference Vegetation Index) SIF (Solar-Induced Chlorophyll Fluorescence) spatiotemporal variation
Online Access:	View Fulltext in Publisher View in Scopus

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