Published August 24, 2020
| Version 1.0
Dataset
Open
Global vegetation productivity from 1981 to 2018 estimated from remote sensing data
- 1. Faculty of Geographical Sciences, Beijing Normal University
Contributors
Contact person:
Producers:
Supervisor:
-
1.
Beijing Normal University
Description
The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/).
The MUSES global vegetation productivity dataset includes gross primary productivity (GPP) and net primary productivity (NPP) data from 1981 to 2018. GPP and NPP were estimated with a light use efficiency (LUE) model and MUSES leaf and index (LAI) and fraction of absorbed photosynthetically active radiation (FPAR) products. The detail information of the products is as below:
Name: MUSES 5-km global GPP and NPP products
Period: 1981-2018
Spatial resolution: 0.05°
Temporal resolution: 8 days
Projection: geographic latitude/longitude
Data format: Tiff
Data type: integer (16bit)
Upper left coordinates: -180°E, 90°N
Scale factor: 100
Unit: gCm-2d-1
Notes
This dataset was supported by the National Key R&D Program of China (2017YFA0603002, 2016YFB0501502).
Files
Algorithm of global gross and net primary productivity products.pdf
Files
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Additional details
References
- Wang, J.M., Sun, R., Zhang, H.L., Xiao, Z.Q., Zhu A.R., Wang, M.J., Yu, T., Xiang, K.L., New global MuSyQ GPP/NPP remote sensing products from 1981 to 2018. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14, 5596-5612.
- Wang, M.J.; Sun, R.; Zhu, A.R.; Xiao, Z. Q. Evaluation and Comparison of Light Use Efficiency and Gross Primary Productivity Using Three Different Approaches. Remote Sensing. 2020, 12, 1003.