Improving the performance of remote sensing models for capturing intra- and inter-annual variations in daily GPP: An analysis using global FLUXNET tower data

Title
Improving the performance of remote sensing models for capturing intra- and inter-annual variations in daily GPP: An analysis using global FLUXNET tower data
Authors
Keywords
Gross primary productivity, Remote sensing, Modeling, FLUXNET, Seasonal, Lagged effects
Journal
AGRICULTURAL AND FOREST METEOROLOGY
Volume 214-215, Issue -, Pages 416-429
Publisher
Elsevier BV
Online
2015-09-29
DOI
10.1016/j.agrformet.2015.09.005

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