Study of mesoscale NDVI prediction models in arid and semiarid regions of China under changing environments

Study of mesoscale NDVI prediction models in arid and semiarid regions of China under changing environments

Currently, studies analysing the relationship between climatic factors and vegetation may present some problems, including considering insufficient spatiotemporal characteristics, contradictory results and deficiencies in reflecting vegetation changes in the future. To address this, we first analyse...

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Bibliographic Details
Main Authors: Ding, Y. (Author), Du, S. (Author), Gong, X. (Author), Li, F. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
Arid and semiarid region in china
Arid and semi-arid regions
Arid and semiarid regions in China
arid region
Arid regions
Carbon
Changing climate
China
Climate change
Climate models
CMIP
Dynamics analysis
Forecasting
Index predictions
Meso scale
Mesoscale NDVI prediction
Mesoscale normalized difference vegetation index prediction
multiple regression
NDVI
Normalized difference vegetation index
prediction
RCM
RCMs
Regression analysis
semiarid region
spatiotemporal analysis
trend analysis
Vegetation
Vegetation dynamic analyse
Vegetation dynamic analysis
Vegetation dynamics
vegetation type
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