TY - JOUR
T1 - Integrating the Maximum Entropy Production model and airborne imagery for understorey evapotranspiration mapping
AU - Liu, Wenjie
AU - Batelaan, Okke
AU - Bruce, David
AU - Wang, Jingfeng
AU - Gutierrez, Hugo
AU - Wang, Hailong
AU - Keegan-Treloar, Robin
AU - Gou, Jianfeng
AU - Keane, Robert
AU - Thompson, Jessica
AU - Guan, Huade
PY - 2025/8
Y1 - 2025/8
N2 - 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.
AB - 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.
KW - Airborne remote sensing
KW - Evapotranspiration
KW - Murray-Darling Basin
KW - South Australia
KW - Understorey
KW - Woodland
UR - http://www.scopus.com/inward/record.url?scp=105001005426&partnerID=8YFLogxK
U2 - 10.1016/j.jhydrol.2025.133076
DO - 10.1016/j.jhydrol.2025.133076
M3 - Article
AN - SCOPUS:105001005426
SN - 0022-1694
VL - 657
JO - Journal of Hydrology
JF - Journal of Hydrology
M1 - 133076
ER -