MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 500m SIN Grid in 2007

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 global FVC product at 500m spatial resolution and 8-day temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2018 (continuously updated). It was generated from the MUSES LAI product at 500m 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.

This dataset is the MUSES FVC product in 2007. Please click here to download the MUSES FVC product in 2006, and click here to download the MUSES FVC product in 2008.

Dataset Characteristics:

Spatial Coverage: Global

Temporal Coverage: 2007

Spatial Resolution: 500m

Temporal Resolution: 8 days

Projection: Sinusoidal

Data Format: HDF

Scale: 0.004

Valid Range: 0 – 250

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

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 ([e-mail])

多尺度卫星遥感（Multiscale Satellite Remote Sensing, MUSES）产品套件包含多时空分辨率的参数反演产品，涉及的参数包括归一化差分植被指数（Normalized Difference Vegetation Index, NDVI）、植被近红外反射率（Near-Infrared Reflectance of Vegetation, NIRv）、叶面积指数（Leaf Area Index, LAI）、吸收光合有效辐射比例（Fraction of Absorbed Photosynthetically Active Radiation, FAPAR）、植被覆盖度（Fractional Vegetation Coverage, FVC）、总初级生产力（Gross Primary Production, GPP）与净初级生产力（Net Primary Production, NPP）。如需了解MUSES产品的更多详情，请访问官网：https://muses.bnu.edu.cn/。

本数据集为空间分辨率500米、时间分辨率8天的MUSES全球植被覆盖度（FVC）产品。该产品采用正弦网格（Sinusoidal grid）进行数据组织，时间跨度为2000年至2018年（数据持续更新中）。其生成基于500米分辨率的MUSES叶面积指数（LAI）产品及其他辅助信息，通过天底观测方向下整冠层光透射率的互补归一化方法实现（Xiao等，2016）。MUSES FVC数值与对应MUSES LAI数值具备严格物理一致性，且产品空间覆盖完整、时间序列连续。

本数据集为2007年版MUSES FVC产品。如需下载2006年版与2008年版MUSES FVC产品，请分别点击此处。

数据集特征：

空间覆盖范围：全球
时间覆盖范围：2007年
空间分辨率：500米
时间分辨率：8天
投影方式：正弦投影（Sinusoidal）
数据格式：HDF
缩放因子：0.004
有效取值范围：0~250

引用说明（使用本数据集时请务必引用如下文献）：

肖志强等（2016）. 基于GLASS叶面积指数产品反演植被覆盖度. 《遥感》（Remote Sensing）, 8, 337.

如有任何疑问，请联系肖志强教授（邮箱：[e-mail]）