2022/08/01 by Pushpendra Raghav, Pradeep Wagle, Mukesh Kumar +2
Engineering · Environmental Science · Mathematics · #Botany #Climate variability and models #Computer science #Data mining #Ecology #Environmental science #Evapotranspiration #Geography #Geology #Hydrology (agriculture) #Hydrometeorology #Leaf area index #Mathematics #Meteorology #Normalized Difference Vegetation Index #Partition (number theory) #Plant Water Relations and Carbon Dynamics #Precipitation #Relation (database) #Soil and Unsaturated Flow #Statistics #Transferability #Transpiration #Vapour Pressure Deficit #Vegetation (pathology) #Vegetation Index
paper · doi:10.1029/2022wr032067
openalex publication_date 2022/08/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/04
Abstract Partitioning evapotranspiration (ET) into its primary components, that is, evaporation ( E ) and plant transpiration ( T ), is needed in a range of hydrometeorological applications. Using vegetation index (VI) to obtain spatially resolved T:ET ratio over large areas has emerged as a promising approach in this regard. Here, we assess the effectiveness of this approach in differently managed wheat systems. Results show a weak relation between T:ET and VI in disturbed (i.e., grazed) systems. Furthermore, flux partition based on a canonical T:ET versus VI relation or the relation derived in a neighboring undisturbed wheat system introduce large errors in disturbed systems, thus underscoring the limits on the transferability of the VI‐based ET partitioning approach. The effectiveness of the VI‐based approach is found to be related to the strength of correlation between VI and vapor pressure deficit and/or radiation. This correlation metric can help identify settings where the approach is likely to be effective.