Australia-wide Machine Learning Evapotranspiration for Trees (AMLETT) model for Murray-Darling Basin wetlands (ongoing updates)

This dataset contains the monthly evapotranspiration (ET, mm/month) data at 30 meters spatial resolution from Feb 2000 to Nov 2025 for Murray-Darling Basin wetlands, Australia. A model was created using field data and machine learning to estimate floodplain tree ET (Eucalyptus camaldulensis (River Red Gum) and E. largiflorens (Black Box)). This dataset will be updated at least annually in the future.

There are caveats to the use of this dataset outlined in Doody, T. M. (2023). A river basin spatial model to quantitatively advance understanding of riverine tree response dynamics to water availability and hydrological management. Journal of Environmental Management, 332, 117393. https://doi.org/10.1016/j.jenvman.2023.117393

Update in Aug 2025: This dataset was updated to include data from January 2023 to June 2024. The method used for this update is the same as in the previous version.

Update in Mar 2026: This dataset was updated to include data from July 2024 to November 2025. The method used for this update is the same as in the previous version.