Improving reference crop evapotranspiration estimation using Solar-Induced chlorophyll fluorescence.

ABSTRACT: Accurately estimating reference crop evapotranspiration (ET₀) is essential for assessing crop water requirements and optimizing regional water resource management. Traditional ET₀ estimation models are limited by incomplete meteorological data, while sun-induced chlorophyll fluorescence (SIF) provides new opportunities for ET₀ estimation. However, existing models neglect the influence of environmental variables on the relationship between ET₀ and SIF, resulting in an inability to accurately capture the dynamic variations of ET₀. To overcome this limitation, we incorporated the basal crop coefficient (Kcb) into the original ET₀_SIF model to enhance its constraints, developing a hybrid SIF-based model (RET₀_SIF). By integrating this model with sate

SUBMITTER: Wang R 

PROVIDER: S-EPMC12494940 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature