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

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

https://doi.org/10.1016/j.agrformet.2015.09.005

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

Plain Language Summary

Section 2: Additional Information

Program Affiliations

CCRN: Changing Cold Regions Network

Project Affiliations

No entries

Submitters

Name	Role	Email	Institution

Publication Stage

Theme

Presentation Format

Additional Information

Changing Cold Regions Networks (CCRN