Evaluation of the sparse dual-source model for predicting water stress and evapotranspiration from thermal infrared data over multiple crops and climates

HIGHLIGHTS

• who: Emilie Delogu and colleagues from the Centre d'Etudes Spatiales de la Biosphère, Université de Toulouse, CNRS, CNES, IRD, UPS have published the article: Evaluation of the SPARSE Dual-Source Model for Predicting Water Stress and Evapotranspiration from Thermal Infrared Data over Multiple Crops and Climates, in the Journal: (JOURNAL)
• what: The aim of the paper is to assess the SPARSE model predictions of water stress and evapotranspiration components for its two proposed versions (the "patch" and "layer" resistances network) over 20 in situ data sets encompassing distinct vegetation and climate. The authors . . .
  

   

  

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