Improving the performance of remote sensing models for capturing intra-and inter-annual variations in daily GPP: An analysis using global FLUXNET tower data
Section 1: Publication
Publication Type
Journal Article
Authorship
Verma, M., Friedl, M. A., Law, B. E., Bonal, D., Kiely, G., Black, T. A., ... & Toscano, P.
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
Year
2015
Publication Outlet
Agricultural and Forest Meteorology, 214, 416-429
DOI
ISBN
ISSN
Citation
Verma, M., Friedl, M. A., Law, B. E., Bonal, D., Kiely, G., Black, T. A., ... & Toscano, P. (2015). Improving the performance of remote sensing models for capturing intra-and inter-annual variations in daily GPP: An analysis using global FLUXNET tower data. Agricultural and Forest Meteorology, 214, 416-429.
https://doi.org/10.1016/j.agrformet.2015.09.005
Abstract
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Section 2: Additional Information
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N/A
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Additional Information
Changing Cold Regions Networks (CCRN
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