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MUSES Fractional Vegetation Coverage (FVC) Monthly Global 500m SIN Grid in 2014

<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 500 m spatial&nbsp;resolution&nbsp;and monthly&nbsp;temporal resolution.&nbsp;The MUSES FVC product is&nbsp;provided&nbsp;on a Sinusoidal grid&nbsp;and spans from 2000 to 2019&nbsp;(continuously updated).&nbsp;It was generated from the MUSES LAI product at 500 m&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>This dataset is the MUSES&nbsp;FVC product in 2014.&nbsp;<em>Please&nbsp;<a href="https://zenodo.org/record/7883341#.ZE_Gz3ZBypo"><strong>click here</strong></a>&nbsp;to download the&nbsp;MUSES&nbsp;FVC product&nbsp;<strong>in 2013</strong></em>,&nbsp;<em>and&nbsp;<a href="https://zenodo.org/record/7882317#.ZE-jF3ZByUl"><strong>click here</strong></a>&nbsp;to download the&nbsp;MUSES&nbsp;FVC product&nbsp;<strong>in 2015</strong></em>.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: Global</li> <li>Temporal Coverage:&nbsp;2014</li> <li>Spatial Resolution: 500 m</li> <li>Temporal Resolution: 1 month</li> <li>Projection: Sinusoidal</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>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

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