Assimilation of Remotely-Sensed Leaf Area Index into a Dynamic Vegetation Model for Gross Primary Productivity Estimation

Assimilation of Remotely-Sensed Leaf Area Index into a Dynamic Vegetation Model for Gross Primary Productivity Estimation

Quantitative estimation of the magnitude and variability of gross primary productivity (GPP) is required to study the carbon cycle of the terrestrial ecosystem. Using ecosystem models and remotely-sensed data is a practical method for accurately estimating GPP. This study presents a method for assim...

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Bibliographic Details
Main Authors: Rui Ma, Li Zhang, Xiangjun Tian, Jiancai Zhang, Wenping Yuan, Yi Zheng, Xiang Zhao, Tomomichi Kato
Format: Article
Language:English
Published: MDPI AG 2017-02-01
Series:Remote Sensing
Subjects:
gross primary production
leaf area index
Lund-Potsdam-Jena dynamic global vegetation model
EnKF
PODEn4DVar
China
Online Access:http://www.mdpi.com/2072-4292/9/3/188

Internet

http://www.mdpi.com/2072-4292/9/3/188

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