Articles | Volume 15, issue 9
https://doi.org/10.5194/essd-15-4181-2023
https://doi.org/10.5194/essd-15-4181-2023
Data description paper
 | 
25 Sep 2023
Data description paper |  | 25 Sep 2023

Spatiotemporally consistent global dataset of the GIMMS Normalized Difference Vegetation Index (PKU GIMMS NDVI) from 1982 to 2022

Muyi Li, Sen Cao, Zaichun Zhu, Zhe Wang, Ranga B. Myneni, and Shilong Piao

Viewed

Total article views: 10,359 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
8,729 1,481 149 10,359 99 133
  • HTML: 8,729
  • PDF: 1,481
  • XML: 149
  • Total: 10,359
  • BibTeX: 99
  • EndNote: 133
Views and downloads (calculated since 21 Feb 2023)
Cumulative views and downloads (calculated since 21 Feb 2023)

Viewed (geographical distribution)

Total article views: 10,359 (including HTML, PDF, and XML) Thereof 10,087 with geography defined and 272 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 07 Nov 2024
Download
Short summary
Long-term global Normalized Difference Vegetation Index (NDVI) products support the understanding of changes in vegetation under environmental changes. This study generates a consistent global NDVI product (PKU GIMMS NDVI) from 1982–2022 that eliminates the issue of orbital drift and sensor degradation in Advanced Very High Resolution Radiometer (AVHRR) data. More accurate than its predecessor (GIMMS NDVI3g), it shows high temporal consistency with MODIS NDVI in describing vegetation trends.
Altmetrics
Final-revised paper
Preprint