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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:
; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
Publication Date:
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1246559
Grant/Contract Number:  
FG02-04ER63917; FG02-04ER63911
Resource Type:
Journal Article: Publisher's Accepted Manuscript
Journal Name:
Agricultural and Forest Meteorology
Additional Journal Information:
Journal Name: Agricultural and Forest Meteorology Journal Volume: 214-215 Journal Issue: C; Journal ID: ISSN 0168-1923
Publisher:
Elsevier
Country of Publication:
Netherlands
Language:
English

Citation Formats

Verma, M., Friedl, M. A., Law, B. E., Bonal, D., Kiely, G., Black, T. A., Wohlfahrt, G., Moors, E. J., Montagnani, L., Marcolla, B., Toscano, P., Varlagin, A., Roupsard, O., Cescatti, A., Arain, M. A., and D’Odorico, P. Improving the performance of remote sensing models for capturing intra- and inter-annual variations in daily GPP: An analysis using global FLUXNET tower data. Netherlands: N. p., 2015. Web. doi:10.1016/j.agrformet.2015.09.005.
Verma, M., Friedl, M. A., Law, B. E., Bonal, D., Kiely, G., Black, T. A., Wohlfahrt, G., Moors, E. J., Montagnani, L., Marcolla, B., Toscano, P., Varlagin, A., Roupsard, O., Cescatti, A., Arain, M. A., & D’Odorico, P. Improving the performance of remote sensing models for capturing intra- and inter-annual variations in daily GPP: An analysis using global FLUXNET tower data. Netherlands. https://doi.org/10.1016/j.agrformet.2015.09.005
Verma, M., Friedl, M. A., Law, B. E., Bonal, D., Kiely, G., Black, T. A., Wohlfahrt, G., Moors, E. J., Montagnani, L., Marcolla, B., Toscano, P., Varlagin, A., Roupsard, O., Cescatti, A., Arain, M. A., and D’Odorico, 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". Netherlands. https://doi.org/10.1016/j.agrformet.2015.09.005.
@article{osti_1246559,
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},
author = {Verma, M. and Friedl, M. A. and Law, B. E. and Bonal, D. and Kiely, G. and Black, T. A. and Wohlfahrt, G. and Moors, E. J. and Montagnani, L. and Marcolla, B. and Toscano, P. and Varlagin, A. and Roupsard, O. and Cescatti, A. and Arain, M. A. and D’Odorico, P.},
abstractNote = {},
doi = {10.1016/j.agrformet.2015.09.005},
url = {https://www.osti.gov/biblio/1246559}, journal = {Agricultural and Forest Meteorology},
issn = {0168-1923},
number = C,
volume = 214-215,
place = {Netherlands},
year = {Tue Dec 01 00:00:00 EST 2015},
month = {Tue Dec 01 00:00:00 EST 2015}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at https://doi.org/10.1016/j.agrformet.2015.09.005

Citation Metrics:
Cited by: 35 works
Citation information provided by
Web of Science

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