Climate Prediction of Satellite-Based Spring Eurasian Vegetation Index (NDVI) using Coupled Singular Value Decomposition (SVD) Patterns

Climate Prediction of Satellite-Based Spring Eurasian Vegetation Index (NDVI) using Coupled Singular Value Decomposition (SVD) Patterns

Satellite-based normalized difference vegetation index (NDVI) data are widely used for estimating vegetation greenness. Seasonal climate predictions of spring (April−May−June) NDVI over Eurasia are explored by applying the year-to-year increment approach. The prediction models we...

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Bibliographic Details
Main Authors: Liuqing Ji, Ke Fan
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Remote Sensing
Subjects:
Eurasia
spring NDVI
winter sea-ice cover
Barents Sea
ENSO
winter NAO
year-to-year increment
climate prediction
hybrid dynamical–statistical model
Online Access:https://www.mdpi.com/2072-4292/11/18/2123

Internet

https://www.mdpi.com/2072-4292/11/18/2123

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