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 Dec 2022 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.\n\nThere 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\n\nUpdate 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.\n\nLineage: Refer to Doody, T. M. (2023). A river basin spatial model to quantitively 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) for method.