Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 16, issue 10
Articles | Volume 16, issue 10
https://doi.org/10.5194/essd-16-4389-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-4389-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 10
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

Viewed

Total article views: 1,354 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,023 222 109 1,354 51 51
  • HTML: 1,023
  • PDF: 222
  • XML: 109
  • Total: 1,354
  • BibTeX: 51
  • EndNote: 51
Views and downloads (calculated since 09 Apr 2024)
Cumulative views and downloads (calculated since 09 Apr 2024)

Viewed (geographical distribution)

Total article views: 1,354 (including HTML, PDF, and XML) Thereof 1,308 with geography defined and 46 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 20 Nov 2024
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.
Read more
Altmetrics
Final-revised paper
Preprint