Published October 8, 2022 | Version v1
Dataset Open

MUSES Fractional Vegetation Coverage (FVC) 16-Day 30m Geographic Grid over Beijing Since 1984

Authors/Creators

  • 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/).

This dataset is the MUSES FVC product at 30 m spatial resolution and 16-day temporal resolution over Beijing. The MUSES FVC product is provided on Geographic grid and spans from 1984 to 2021 (continuously updated). It was generated from the MUSES LAI product at 30 m resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao et al., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous.

Dataset Characteristics:

  • Spatial Coverage: 115.416599º E – 117.508219º E, 39.441929º N – 41.059283º N
  • Temporal Coverage: 1984 – 2021
  • Spatial Resolution: 0.000269469º (approximately 30 m)
  • Temporal Resolution: 16 days
  • Projection: Geographic
  • Data Format: HDF
  • Scale: 0.004
  • Valid Range: 0 – 250

Citation (Please cite this paper whenever these data are used):

  1. Xiao Zhiqiang, et al. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. Remote Sensing, 8, 337.

If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).

 

Files

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