Detecting Vegetation Variations and Main Drivers over the Agropastoral Ecotone of Northern China through the Ensemble Empirical Mode Decomposition Method

Detecting Vegetation Variations and Main Drivers over the Agropastoral Ecotone of Northern China through the Ensemble Empirical Mode Decomposition Method

Vegetation is the major component of the terrestrial ecosystem. Understanding both climate change and anthropogenically induced vegetation variation is essential for ecosystem management. In this study, we used an ensemble empirical mode decomposition (EEMD) method and a linear regression model to i...

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Bibliographic Details
Main Authors: Yayong Xue, Baoqing Zhang, Chansheng He, Rui Shao
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Remote Sensing
Subjects:
vegetation variations
ensemble empirical mode decomposition
anthropogenic effects
agropastoral ecotone of northern China
Online Access:https://www.mdpi.com/2072-4292/11/16/1860

Internet

https://www.mdpi.com/2072-4292/11/16/1860

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