Articles | Volume 14, issue 12
https://doi.org/10.5194/essd-14-5333-2022
https://doi.org/10.5194/essd-14-5333-2022
Data description paper
 | 
07 Dec 2022
Data description paper |  | 07 Dec 2022

Global land surface 250 m 8 d fraction of absorbed photosynthetically active radiation (FAPAR) product from 2000 to 2021

Han Ma, Shunlin Liang, Changhao Xiong, Qian Wang, Aolin Jia, and Bing Li

Data sets

A global land surface 250-m 8-day Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) product (2022-part1) Han Ma https://doi.org/10.5281/zenodo.6405564

A global land surface 250-m 8-day Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) product (2022-part2) Han Ma https://doi.org/10.5281/zenodo.6430925

GLASS 250m V6 FAPAR Han Ma and Shunlin Liang http://glass.umd.edu/FAPAR/MODIS/250m

GLASS 500m , 0.05◦ , and 0.1◦ FAPAR Han Ma and Shunlin Liang http://glass.umd.edu/FAPAR/MODIS/

GLASS 250m V6 LAI Han Ma and Shunlin Liang http://www.glass.umd.edu/LAI/MODIS/250m/

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Short summary
The fraction of absorbed photosynthetically active radiation (FAPAR) is one of the essential climate variables. This study generated a global land surface FAPAR product with a 250 m resolution based on a deep learning model that takes advantage of the existing FAPAR products and MODIS time series of observation information. Direct validation and intercomparison revealed that our product better meets user requirements and has a greater spatiotemporal continuity than other existing products.
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