MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 0.05º Geographic Grid Since 1981

<p>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).&nbsp;For more information about the MUSES products, please refer to this website (<a href="https://muses.bnu.edu.cn/">https://muses.bnu.edu.cn/</a>).</p> <p>This dataset is the MUSES global&nbsp;FVC product at 0.05&ordm; spatial&nbsp;resolution&nbsp;and 8-day temporal resolution.&nbsp;The MUSES FVC product is provided&nbsp;on Geographic grid and spans from 1981&nbsp;to 2018 (continuously updated).&nbsp;It was generated from the MUSES LAI product at 0.05&ordm;&nbsp;resolution and other ancillary information using the complement to unity of the transmittance of light&nbsp;through the entire canopy in the nadir viewing direction (Xiao&nbsp;<em>et al</em>., 2016).&nbsp;The MUSES FVC values are&nbsp;physically consistent with the corresponding&nbsp;MUSES&nbsp;LAI values.&nbsp;The MUSES FVC product is spatially complete and temporally continuous.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: 180&ordm; W&nbsp;&ndash; 180&ordm; E, 90&ordm; S&nbsp;&ndash; 90&ordm; N;</li> <li>Temporal Coverage: 1981&nbsp;&ndash; 2018;</li> <li>Spatial Resolution: 0.05&ordm; (approximately 5 km);</li> <li>Temporal Resolution: 8 days;</li> <li>Projection: Geographic;</li> <li>Data Format: HDF;</li> <li>Scale: 0.004;</li> <li>Valid Range: 0 &ndash; 250.</li> </ul> <p><strong>Citation&nbsp;</strong>(Please cite this paper whenever these data are used)<strong>:</strong></p> <ol> <li>Xiao Zhiqiang,&nbsp;<em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product.&nbsp;<em>Remote Sensing</em>, 8, 337.</li> </ol> <p>If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).</p>