@article{fdi:010057166,
  title = {{R}econstruction of temporal variations of evapotranspiration using instantaneous estimates at the time of satellite overpass},
  author = {{D}elogu, {E}. and {B}oulet, {G}illes and {O}lioso, {A}. and {C}oudert, {B}. and {C}hirouze, {J}. and {C}eschia, {E}. and {L}e {D}antec, {V}. and {M}arloie, {O}. and {C}hehbouni, {A}bdelghani and {L}agouarde, {J}.{P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{E}vapotranspiration estimates can be derived from remote sensing data and ancillary, mostly meterorological, information. {F}or this purpose, two types of methods are classically used: the first type estimates a potential evapotranspiration rate from vegetation indices, and adjusts this rate according to water availability derived from either a surface temperature index or a first guess obtained from a rough estimate of the water budget, while the second family of methods relies on the link between the surface temperature and the latent heat flux through the surface energy budget. {T}he latter provides an instantaneous estimate at the time of satellite overpass. {I}n order to compute daily evapotranspiration, one needs an extrapolation algorithm. {S}ince no image is acquired during cloudy conditions, these methods can only be applied during clear sky days. {I}n order to derive seasonal evapotranspiration, one needs an interpolation method. {T}wo combined interpolation/extrapolation methods based on the self preservation of evaporative fraction and the stress factor are compared to reconstruct seasonal evapotranspiration from instantaneous measurements acquired in clear sky conditions. {T}hose measurements are taken from instantaneous latent heat flux from 11 datasets in {S}outhern {F}rance and {M}orocco. {R}esults show that both methods have comparable performances with a clear advantage for the evaporative fraction for datasets with several water stress events. {B}oth interpolation algorithms tend to underestimate evapotranspiration due to the energy limiting conditions that prevail during cloudy days. {T}aking into account the diurnal variations of the evaporative fraction according to an empirical relationship derived from a previous study improved the performance of the extrapolation algorithm and therefore the retrieval of the seasonal evapotranspiration for all but one datasets.},
  keywords = {},
  booktitle = {},
  journal = {{H}ydrology and {E}arth {S}ystem {S}ciences},
  volume = {16},
  numero = {8},
  pages = {2995--3010},
  ISSN = {1027-5606},
  year = {2012},
  DOI = {10.5194/hess-16-2995-2012},
  URL = {https://www.documentation.ird.fr/hor/fdi:010057166},
}