The karst NDVI correlation with climate and its BAS-BP prediction based on multiple factors

The karst NDVI correlation with climate and its BAS-BP prediction based on multiple factors

Karst vegetation (KV) is one of the most important indicators for maintaining the surface energy balance in southwestern China. The spatial pattern of KV is mainly affected by climate, human activities, and environmental factors. The relationships between the KV and these factors are complex and non...

Full description

Bibliographic Details
Main Authors: Gao, J. (Author), Liu, L. (Author), Liu, Q. (Author), Ma, Y. (Author), Zuo, L. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
annual variation
back propagation
Backpropagation
BAS-BP prediction
China
climate effect
Climate impact
Climate impacts
Climatic factors
Coleoptera
Correlation methods
Dynamic variation
Dynamic variations
environmental factor
Forecasting
Interannual variation
karst
Karst NDVI
Karst normalized difference vegetation index
Landforms
Lithology
Mean square error
Mean squared error
Multiple factors
NDVI
Neural networks
Normalized difference vegetation index
R value
Spatial distribution
Vegetation
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items