Australia-wide Machine Learning Evapotranspiration for Trees (AMLETT) model for Murray-Darling Basin wetlands
CSIRO RDS Repository
View Archive InfoField | Value | |
Title |
Australia-wide Machine Learning Evapotranspiration for Trees (AMLETT) model for Murray-Darling Basin wetlands
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Creator |
Tanya Doody
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Subject |
Groundwater hydrology
Freshwater ecology Environmental management Photogrammetry and remote sensing Surface water hydrology Tree nutrition and physiology |
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Description |
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 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 |
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Publisher |
CSIRO
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Contributor |
Steve Gao
Willem Vervoort Jodie Pritchard Micah Davies Martin Nolan Pamela L. Nagler |
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Date |
2023-06-02
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Type |
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Format |
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Identifier |
csiro:58818
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Language |
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Coverage |
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Rights |
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