Articles | Volume 16, issue 10
https://doi.org/10.5194/essd-16-4389-2024
https://doi.org/10.5194/essd-16-4389-2024
Data description paper
 | 
01 Oct 2024
Data description paper |  | 01 Oct 2024

Enhancing long-term vegetation monitoring in Australia: a new approach for harmonising the Advanced Very High Resolution Radiometer normalised-difference vegetation (NVDI) with MODIS NDVI

Chad A. Burton, Sami W. Rifai, Luigi J. Renzullo, and Albert I. J. M. Van Dijk

Data sets

AusENDVI: A long-term NDVI dataset for Australia Chad Burton et al. https://doi.org/10.5281/zenodo.10802703

Model code and software

cbur24/AusENDVI: First release for publication Chad Burton https://doi.org/10.5281/zenodo.13831836

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Short summary
Understanding vegetation response to environmental change requires accurate, long-term data on vegetation condition (VC). We evaluated existing satellite VC datasets over Australia and found them lacking, so we developed a new VC dataset for Australia, AusENDVI. It can be used for studying Australia's changing vegetation dynamics and downstream impacts on the carbon and water cycles, and it provides a reliable foundation for further research into the drivers of vegetation change.
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