Articles | Volume 15, issue 9
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


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2023-1', Anonymous Referee #1, 12 Apr 2023
    • AC1: 'Reply on RC1', Muyi Li, 18 Jun 2023
  • RC2: 'Comment on essd-2023-1', Anonymous Referee #2, 21 Apr 2023
    • AC2: 'Reply on RC2', Muyi Li, 18 Jun 2023
  • RC3: 'Comment on essd-2023-1', Anonymous Referee #3, 24 Apr 2023
    • AC3: 'Reply on RC3', Muyi Li, 18 Jun 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Muyi Li on behalf of the Authors (19 Jun 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (04 Jul 2023) by Chunlüe Zhou
RR by Anonymous Referee #1 (06 Aug 2023)
ED: Publish as is (07 Aug 2023) by Chunlüe Zhou
AR by Muyi Li on behalf of the Authors (17 Aug 2023)  Manuscript 
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.
Final-revised paper