Remote sensing of annual terrestrial gross primary productivity from MODIS: an assessment using the FLUXNET La Thuile data set. Verma, M., Friedl, M., a., Richardson, A., D., Kiely, G., Cescatti, A., Law, B., E., Wohlfahrt, G., Gielen, B., Roupsard, O., Moors, E., J., Toscano, P., Vaccari, F., P., Gianelle, D., Bohrer, G., Varlagin, A., Buchmann, N., van Gorsel, E., Montagnani, L., & Propastin, P. Biogeosciences, 11(8):2185-2200, 4, 2014.
Remote sensing of annual terrestrial gross primary productivity from MODIS: an assessment using the FLUXNET La Thuile data set [link]Website  doi  bibtex   
@article{
 title = {Remote sensing of annual terrestrial gross primary productivity from MODIS: an assessment using the FLUXNET La Thuile data set},
 type = {article},
 year = {2014},
 pages = {2185-2200},
 volume = {11},
 websites = {http://www.biogeosciences.net/11/2185/2014/},
 month = {4},
 day = {17},
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 accessed = {2014-05-05},
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 last_modified = {2019-04-26T14:59:01.124Z},
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 citation_key = {Verma2014b},
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 bibtype = {article},
 author = {Verma, M. and Friedl, Mark a. and Richardson, Andrew D. and Kiely, G. and Cescatti, Alessandro and Law, Beverly Elizabeth and Wohlfahrt, G. and Gielen, B. and Roupsard, O. and Moors, Eddy J. and Toscano, P. and Vaccari, F. P. and Gianelle, D. and Bohrer, G. and Varlagin, A. and Buchmann, N. and van Gorsel, E. and Montagnani, Leonardo and Propastin, P.},
 doi = {10.5194/bg-11-2185-2014},
 journal = {Biogeosciences},
 number = {8},
 keywords = {FR_FON}
}

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