Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 16, issue 1
Articles | Volume 16, issue 1
https://doi.org/10.5194/essd-16-15-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-15-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 1
Data description paper
 | 
04 Jan 2024
Data description paper |  | 04 Jan 2024

Sensor-independent LAI/FPAR CDR: reconstructing a global sensor-independent climate data record of MODIS and VIIRS LAI/FPAR from 2000 to 2022

Jiabin Pu, Kai Yan, Samapriya Roy, Zaichun Zhu, Miina Rautiainen, Yuri Knyazikhin, and Ranga B. Myneni

Viewed

Total article views: 3,813 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,086 631 96 3,813 173 86 109
  • HTML: 3,086
  • PDF: 631
  • XML: 96
  • Total: 3,813
  • Supplement: 173
  • BibTeX: 86
  • EndNote: 109
Views and downloads (calculated since 25 Sep 2023)
Cumulative views and downloads (calculated since 25 Sep 2023)

Viewed (geographical distribution)

Total article views: 3,813 (including HTML, PDF, and XML) Thereof 3,725 with geography defined and 88 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 04 Jun 2025
Download
Short summary
Long-term global LAI/FPAR products provide the fundamental dataset for accessing vegetation dynamics and studying climate change. This study develops a sensor-independent LAI/FPAR climate data record based on the integration of Terra-MODIS/Aqua-MODIS/VIIRS LAI/FPAR standard products and applies advanced gap-filling techniques. The SI LAI/FPAR CDR provides a valuable resource for researchers studying vegetation dynamics and their relationship to climate change in the 21st century.
Read more
Share
Altmetrics
Final-revised paper
Preprint