@article{fdi:010081526,
  title = {{E}valuation of multiple methods for the production of continuous evapotranspiration estimates from {TIR} remote sensing},
  author = {{D}elogu, {E}. and {O}lioso, {A}. and {A}llies, {A}. and {D}emarty, {J}{\'e}rome and {B}oulet, {G}illes},
  editor = {},
  language = {{ENG}},
  abstract = {{C}ontinuous daily estimates of evapotranspiration ({ET}) spatially distributed at plot scale are required to monitor the water loss and manage crop irrigation needs. {R}emote sensing approaches in the thermal infrared ({TIR}) domain are relevant to assess actual {ET} and soil moisture status but due to lengthy return intervals and cloud cover, data acquisition is not continuous over time. {T}his study aims to assess the performances of 6 commonly used as well as two new reference quantities including rainfall as an index of soil moisture availability to reconstruct seasonal {ET} from sparse estimates and as a function of the revisit frequency. {I}n a first step, instantaneous in situ eddy-covariance flux tower data collected over multiple ecosystems and climatic areas were used as a proxy for perfect retrievals on satellite overpass dates. {I}n a second step, instantaneous estimations at the time of satellite overpass were produced using the {S}oil {P}lant {A}tmosphere and {R}emote {S}ensing {E}vapotranspiration ({SPARSE}) energy balance model in order to evaluate the errors concurrent to the use of an energy balance model simulating the instantaneous {IRT} products from the local surface temperature. {S}ignificant variability in the performances from site to site was observed particularly for long revisit frequencies over 8 days, suggesting that the revisit frequency necessary to achieve accurate estimates of {ET} via temporal upscaling needs to be fewer than 8 days whatever the reference quantity used. {F}or shorter return interval, small differences among the interpolation techniques and reference quantities were found. {A}t the seasonal scale, very simple methods using reference quantities such as the global radiation or clear sky radiation appeared relevant and robust against long revisit frequencies. {F}or infra-seasonal studies targeting stress detection and irrigation management, taking the amount of precipitation into account seemed necessary, especially to avoid the underestimation of {ET} over cloudy days during a long period without data acquisitions.},
  keywords = {{ZONE} {TEMPEREE} ; evapotranspiration ; interpolation ; remote sensing ; {FRANCE} ; {NIGER} ; {TUNISIE} ; {MAROC} ; {ZONE} {SAHELIENNE} ; {ZONE} {SEMIARIDE}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {13},
  numero = {6},
  pages = {1086 [22 ]},
  year = {2021},
  DOI = {10.3390/rs13061086},
  URL = {https://www.documentation.ird.fr/hor/fdi:010081526},
}