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

Created 20/09/2025

Updated 20/09/2025

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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. 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.

Files and APIs

Additional Info

Field Value
Title Australia-wide Machine Learning Evapotranspiration for Trees (AMLETT) model for Murray-Darling Basin wetlands (ongoing updates)
Language English
Licence Not Specified
Landing Page https://data.gov.au/data/en/dataset/2359b4f6-de72-5a04-8c17-9cb9b193988c
Contact Point
CSIRO Data Access Portal
CSIROEnquiries@csiro.au
Reference Period 01/01/2000
Geospatial Coverage Australia
Data Portal CSIRO DAP

Data Source

This dataset was originally found on CSIRO DAP "Australia-wide Machine Learning Evapotranspiration for Trees (AMLETT) model for Murray-Darling Basin wetlands (ongoing updates)". Please visit the source to access the original metadata of the dataset:
https://data.csiro.au/collection/csiro:58818