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}
}
Free Publicly Available Full Text
Publisher's Version of Record at https://doi.org/10.1016/j.agrformet.2015.09.005
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Cited by: 35 works
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