Evaluating Parameter Adjustment in the MODIS Gross Primary Production Algorithm Based on Eddy Covariance Tower Measurements

Evaluating Parameter Adjustment in the MODIS Gross Primary Production Algorithm Based on Eddy Covariance Tower Measurements

How well parameterization will improve gross primary production (GPP) estimation using the MODerate-resolution Imaging Spectroradiometer (MODIS) algorithm has been rarely investigated. We adjusted the parameters in the algorithm for 21 selected eddy-covariance flux towers which represented nine typi...

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Bibliographic Details
Main Authors: Jing Chen, Huifang Zhang, Zirui Liu, Mingliang Che, Baozhang Chen
Format: Article
Language:English
Published: MDPI AG 2014-04-01
Series:Remote Sensing
Subjects:
gross primary production
MODIS
parameter adjustment
model structure
light use efficiency
eddy covariance
Online Access:http://www.mdpi.com/2072-4292/6/4/3321

Internet

http://www.mdpi.com/2072-4292/6/4/3321

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