Integrating the Maximum Entropy Production model and airborne imagery for understorey evapotranspiration mapping

Wenjie Liu, Okke Batelaan, David Bruce, Jingfeng Wang, Hugo Gutierrez, Hailong Wang, Robin Keegan-Treloar, Jianfeng Gou, Robert Keane, Jessica Thompson, Huade Guan

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Abstract

While extensive research has focused on evapotranspiration (ET) from land surface, the spatial distributions of ET of the woodland and forest understorey remain poorly understood. This study developed a method for estimating spatially distributed understorey ET by integrating the Maximum Entropy Production model with airborne thermal imagery. Validation against ground-truth estimation showed good model performance (R2 = 0.93, RMSE = 0.03 mm/h), confirming its efficacy across different land cover types, including open and understorey areas. The results revealed significant spatial heterogeneity in understorey ET with varying vegetation cover and topographic attributes, and distinct responses to wetting events. This method provides a new tool for estimating the important understorey water consumption in forests and woodlands, contributing to assessing ecosystem water use efficiency and improving water resource and vegetation management strategies.

Original languageEnglish
Article number133076
Number of pages15
JournalJournal of Hydrology
Volume657
DOIs
Publication statusPublished - Aug 2025

Keywords

  • Airborne remote sensing
  • Evapotranspiration
  • Murray-Darling Basin
  • South Australia
  • Understorey
  • Woodland

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