@article{fdi:010060717,
  title = {{E}valuation of {MODIS} gross primary productivity for {A}frica using eddy covariance data},
  author = {{S}jostrom, {M}. and {Z}hao, {M}. and {A}rchibald, {S}. and {A}rneth, {A}. and {C}appelaere, {B}ernard and {F}alk, {U}. and de {G}randcourt, {A}. and {H}anan, {N}. and {K}ergoat, {L}. and {K}utsch, {W}. and {M}erbold, {L}. and {M}ougin, {E}. and {N}ickless, {A}. and {N}ouvellon, {Y}. and {S}choles, {R}. {J}. and {V}eenendaal, {E}. {M}. and {A}rdo, {J}.},
  editor = {},
  language = {{ENG}},
  abstract = {{MOD}17{A}2 provides operational gross primary production ({GPP}) data globally at 1 km spatial resolution and 8-day temporal resolution. {MOD}17{A}2 estimates {GPP} according to the light use efficiency ({LUE}) concept assuming a fixed maximum rate of carbon assimilation per unit photosynthetically active radiation absorbed by the vegetation (epsilon(max)). {M}inimum temperature and vapor pressure deficit derived from meteorological data down-regulate epsilon(max) and constrain carbon assimilation. {T}his data is useful for regional to global studies of the terrestrial carbon budget, climate change and natural resources. {I}n this study we evaluated the {MOD}17{A}2 product and its driver data by using in situ measurements of meteorology and eddy covariance {GPP} for 12 {A}frican sites. {MOD}17{A}2 agreed well with eddy covariance {GPP} for wet sites. {O}verall, seasonality was well captured but {MOD}17{A}2 {GPP} was underestimated for the dry sites located in the {S}ahel region. {R}eplacing the meteorological driver data derived from coarse resolution reanalysis data with tower measurements reduced {MOD}17{A}2 {GPP} uncertainties, however, the underestimations at the dry sites persisted. {I}nferred epsilon(max) calculated from tower data was higher than the epsilon(max) prescribed in {MOD}17{A}2. {T}his, in addition to uncertainties in fraction of absorbed photosynthetically active radiation ({FAPAR}) explains some of the underestimations. {T}he results suggest that improved quality of driver data, but primarily a readjustment of the parameters in the biome parameter look-up table ({BPLUT}) may be needed to better estimate {GPP} for {A}frican ecosystems in {MOD}17{A}2.},
  keywords = {{R}emote sensing ; {A}frica ; {G}ross primary production ({GPP}) ; {M}oderate ; {R}esolution {I}maging {S}pectroradiometer ({MODIS}) ; {MOD}17{A}2 ; {C}arbo{A}frica ; {AMMA}},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {131},
  numero = {},
  pages = {275--286},
  ISSN = {0034-4257},
  year = {2013},
  DOI = {10.1016/j.rse.2012.12.023},
  URL = {https://www.documentation.ird.fr/hor/fdi:010060717},
}