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Improving the performance of remote sensing models for capturing intra- and inter-annual variations in daily GPP: An analysis using global FLUXNET tower data
External Source
chorus
Document Type
Accepted Manuscript
Authors
M. Verma
M.A. Friedl
B.E. Law
D. Bonal
G. Kiely
T.A. Black
G. Wohlfahrt
E.J. Moors
L. Montagnani
B. Marcolla
P. Toscano
A. Varlagin
O. Roupsard
A. Cescatti
M.A. Arain
P. D’Odorico
Date Acquired
March 30, 2026
Publication Information
Publication: Agricultural and Forest Meteorology
Publisher: Elsevier BV
Volume: 214-215
Issue Publication Date: December 1, 2015
ISSN: 0168-1923
DOI: 10.1016/j.agrformet.2015.09.005
Funding Number(s)
funding: NNX11AE75G
funding: EF-1065029
funding: DE-FG02-04ER63917
funding: DE-FG02-04ER63911
Distribution Limits
Public

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