@article{fdi:010069495,
  title = {{E}valuating water controls on vegetation growth in the semi-arid {S}ahel using field and earth observation data},
  author = {{A}bdi, {A}. {M}. and {B}oke-{O}len, {N}. and {T}enenbaum, {D}. {E}. and {T}agesson, {T}. and {C}appelaere, {B}ernard and {A}rdo, {J}.},
  editor = {},
  language = {{ENG}},
  abstract = {{W}ater loss is a crucial factor for vegetation in the semi-arid {S}ahel region of {A}frica. {G}lobal satellite-driven estimates of plant {CO}2 uptake (gross primary productivity, {GPP}) have been found to not accurately account for {S}ahelian conditions, particularly the impact of canopy water stress. {H}ere, we identify the main biophysical limitations that induce canopy water stress in {S}ahelian vegetation and evaluate the relationships between field data and {E}arth observation-derived spectral products for up-scaling {GPP}. {W}e find that plant-available water and vapor pressure deficit together control the {GPP} of {S}ahelian vegetation through their impact on the greening and browning phases. {O}ur results show that a multiple linear regression ({MLR}) {GPP} model that combines the enhanced vegetation index, land surface temperature, and the short-wave infrared reflectance ({B}and 7, 2105-2155 nm) of the moderate-resolution imaging spectroradiometer satellite sensor was able to explain between 88% and 96% of the variability of eddy covariance flux tower {GPP} at three {S}ahelian sites (overall = 89%). {T}he {MLR} {GPP} model presented here is potentially scalable at a relatively high spatial and temporal resolution. {G}iven the scarcity of field data on {CO}2 fluxes in the {S}ahel, this scalability is important due to the low number of flux towers in the region.},
  keywords = {{S}ahel ; drought ; gross primary productivity ; {E}arth observation ; plant-available water ; soil moisture ; vapor pressure deficit ; plant stress ; greening ; browning ; {ZONE} {SAHELIENNE}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {9},
  numero = {3},
  pages = {art. 294 [20 p.]},
  ISSN = {2072-4292},
  year = {2017},
  DOI = {10.3390/rs9030294},
  URL = {https://www.documentation.ird.fr/hor/fdi:010069495},
}