@article{fdi:010083391,
  title = {{U}tility of {C}opernicus-based inputs for actual evapotranspiration modeling in support of sustainable water use in agriculture},
  author = {{G}uzinski, {R}. and {N}ieto, {H}. and {S}anchez, {J}. {M}. and {L}opez-{U}rrea, {R}. and {B}oujnah, {D}. {M}. and {B}oulet, {G}illes},
  editor = {},
  language = {{ENG}},
  abstract = {{Q}uantifying spatial and temporal patterns of the actual evapotranspiration ({ET}) using {E}arth observation data can significantly contribute to the accurate and transparent monitoring of sustainable development goals ({SDG}s) target 6.4, which focuses on the increase of the water-use efficiency and sustainable freshwater withdrawals. {I}rrigated agriculture is by far the largest consumer of freshwater worldwide, and {ET} can serve as a direct proxy of crop water use. {V}arious ongoing initiatives encourage the use of remote sensing data for the monitoring of {SDG} 6.4, including the {W}a{POR} portal run by the {F}ood and {A}griculture {O}rganization of the {U}nited {N}ations. {H}owever, none of these initiatives use {C}opernicus satellite and modeled data to the fullest extent. {C}opernicus provides operational high-quality data freely and openly, contains all the inputs required for {ET} modeling, and has long-term continuity and evolution plans, thus allowing for the establishment of baseline for {SDG} 6.4 and continuous monitoring in mid- and long term. {I}n this study, we evaluate the utility of {C}opernicus data for this task with {W}a{POR} products serving as a comparison benchmark. {T}hus, the modeled {ET} has to be able to accurately capture the field-scale activity at 10-day timesteps while also scaling to national coverage and providing consistent estimates at different spatial resolutions, ranging from tens to hundreds of meters. {R}esults indicate that {C}opernicus-based {ET} can reach a correlation of 0.9, mean bias of 0.3 mm/day, and root-mean-square error of less than 1 mm/day when compared against the field lysimeter and eddy covariance measurements, and with proper approach, can achieve a better spatial-scale consistency than {W}a{POR} data. {T}his sets a path toward the {C}opernicus-based {ET} product and its use within the {SDG} monitoring and reporting.},
  keywords = {{E}arth ; {S}atellites ; {D}ata models ; {R}emote sensing ; {MODIS} ; {S}tress ; {S}patial resolution ; {C}opernicus ; evapotranspiration ({ET}) ; irrigation ; sustainable development goals ({SDG}s) ; {TUNISIE} ; {LIBAN} ; {ESPAGNE} ; {ZONE} {MEDITERRANEENNE} ; {ZONE} {SEMIARIDE}},
  booktitle = {},
  journal = {{IEEE} {J}ournal of {S}elected {T}opics in {A}pplied {E}arth {O}bservations and {R}emote {S}ensing},
  volume = {14},
  numero = {},
  pages = {11466--11484},
  ISSN = {1939-1404},
  year = {2021},
  DOI = {10.1109/jstars.2021.3122573},
  URL = {https://www.documentation.ird.fr/hor/fdi:010083391},
}