MUSES 500m Global Annual Gross and Net Primary Productivity Dataset

The  MUltiscale Satellite remotE Sensing (MUSES) 500m global annual vegetation productivity dataset includes gross primary productivity (GPP) and net primary productivity (NPP) data from 2001 to 2019. GPP and NPP were estimated with a light use efficiency (LUE) model and  GLASS leaf area index (LAI) and fraction of absorbed photosynthetically active radiation (FAPAR) products.

The 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 detail information of the MUSES 500m global annual GPP and NPP dataset is as below:

Name: MUSES 500m global annual GPP and NPP dataset

Period: 2001-2019

Projection: Sinusoidal projection;

Spatial resolution: 463.3127165 m;

Temporal resolution: annual;

Data format: zipped GeoTiff file;

Data type: unsigned short integer (16bit);

Image size: 86400 columns, 36000 rows

Upper left coordinates: ULX = -20015109.354 m, ULY = 10007554.677 m;

Scale factor: 10. NPP = DN / scale factor; GPP = DN / scale factor;

Unit: gC/m²/yr.

Citation (Please cite these papers when these data are used)

1. 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.

2. 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.

3. Yu, T.; Sun, R.; Xiao, Z.Q. ;Zhang , Q.; Liu, G.; Cui, T.X.; Wang, J.M. Estimation of Global Vegetation Productivity from Global LAnd Surface Satellite Data. Remote sensing. 2018, 10, 327.