@article{fdi:010063892,
  title = {{S}oil drought anomalies in {MODIS} {GPP} of a {M}editerranean broadleaved evergreen forest},
  author = {{L}iu, {J}. and {R}ambal, {S}. and {M}ouillot, {F}lorent},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he {M}oderate {R}esolution {I}maging {S}pectroradiometer ({MODIS}) yields global operational estimates of terrestrial gross primary production ({GPP}). {I}n this study, we compared {MOD}17{A}2 {GPP} with tower eddy flux-based estimates of {GPP} from 2001 to 2010 over an evergreen broad-leaf {M}editerranean forest in {S}outhern {F}rance with a significant summer drought period. {T}he {MOD}17{A}2 {GPP} shows seasonal variations that are inconsistent with the tower {GPP}, with close-to-accurate winter estimates and significant discrepancies for summer estimates which are the least accurate. {T}he analysis indicated that the {MOD}17{A}2 {GPP} has high bias relative to tower {GPP} during severe summer drought which we hypothesized caused by soil water limitation. {O}ur investigation showed that there was a significant correlation ({R}-2 = 0.77, p < 0.0001) between the relative soil water content and the relative error of {MOD}17{A}2 {GPP}. {T}herefore, the relationship between the error and the measured relative soil water content could explain anomalies in {MOD}17{A}2 {GPP}. {T}he results of this study indicate that careful consideration of the water conditions input to the {MOD}17{A}2 {GPP} algorithm on remote sensing is required in order to provide accurate predictions of {GPP}. {S}till, continued efforts are necessary to ascertain the most appropriate index, which characterizes soil water limitation in water-limited environments using remote sensing.},
  keywords = {gross primary production ; {MODIS} ; light use efficiency ; eddy covariance ; soil drought ; evergreen broadleaf forest ; {M}editerranean-type ecosystems ; {FRANCE} ; {ZONE} {MEDITERRANEENNE}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {7},
  numero = {1},
  pages = {1154--1180},
  ISSN = {2072-4292},
  year = {2015},
  DOI = {10.3390/rs70101154},
  URL = {https://www.documentation.ird.fr/hor/fdi:010063892},
}