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 article
 | 
01 Oct 2024
Data description article |  | 01 Oct 2024

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

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

Viewed

Total article views: 4,153 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,833 1,020 300 4,153 133 238
  • HTML: 2,833
  • PDF: 1,020
  • XML: 300
  • Total: 4,153
  • BibTeX: 133
  • EndNote: 238
Views and downloads (calculated since 09 Apr 2024)
Cumulative views and downloads (calculated since 09 Apr 2024)

Viewed (geographical distribution)

Total article views: 4,153 (including HTML, PDF, and XML) Thereof 4,098 with geography defined and 55 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 12 Mar 2026
Download
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.
Share
Altmetrics
Final-revised paper
Preprint