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

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

doi:https://doi.org/10.5194/essd-16-15-2024

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

Supplement

https://doi.org/10.5194/essd-16-15-2024-supplement

Data sets

Sensor-Independent LAI/FPAR CDR Jiabin Pu et al. https://doi.org/10.5281/zenodo.8076540

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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.