Detecting vegetation variations and main drivers over the agropastoral ecotone of northern china through the ensemble empirical mode decomposition method

HIGHLIGHTS

• who: Yayong Xue and collaborators from the agropastoral ecotone of northern ChinaEnvironmental Sciences, Lanzhou University, Lanzhou, China have published the article: Detecting Vegetation Variations and Main Drivers over the Agropastoral Ecotone of Northern China through the Ensemble Empirical Mode Decomposition Method, in the Journal: (JOURNAL)
• what: The authors used an ensemble empirical mode decomposition (EEMD) method and a linear regression model to investigate spatiotemporal in the normalized difference index (NDVI) over the agropastoral ecotone of northern China (APENC) during the 1982-2015 period. The aims of have hindered the ability to investigate the drivers of . . .
  

   

  

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