MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 250m SIN Grid in 2015 (185–361)

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 250m spatial resolution and 8-day temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 250m 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 2015 (185–361). Please click here to download the MUSES FVC product in 2015 (001–177) and click here to download the MUSES FVC product in 2016 (001–177). Dataset Characteristics: Spatial Coverage: Global Temporal Coverage: 2015 (185–361) Spatial Resolution: 250m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 100 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，简称MUSES）产品套件包含归一化差异植被指数（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率（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）、净初级生产力（Net Primary Production，NPP）等参数的不同时空分辨率产品。
有关MUSES产品的更多信息，请访问官网（https://muses.bnu.edu.cn/）。本数据集为空间分辨率250米、时间分辨率8天的MUSES全球植被覆盖度（FVC）产品。

MUSES FVC产品采用正弦网格（Sinusoidal grid）投影，时间跨度为2000年至2019年（持续更新中）。该产品基于250米分辨率的MUSES LAI产品及其他辅助信息，利用天底视角下冠层整体透光率的互补关系生成（Xiao等，2016）。MUSES FVC值与对应MUSES LAI值具备物理一致性，且空间覆盖完整、时间序列连续。

本数据集为2015年的MUSES FVC产品（覆盖第185–361期）。可点击此处下载2015年MUSES FVC产品（第001–177期），点击此处下载2016年MUSES FVC产品（第001–177期）。

数据集特征：
空间覆盖范围：全球
时间覆盖范围：2015年（第185–361期）
空间分辨率：250米
时间分辨率：8天
投影方式：正弦投影
数据格式：HDF
缩放系数：0.01
有效取值范围：0–100

引用说明：使用该数据时请务必引用以下文献
Xiao Zhiqiang等（2016）. 基于GLASS叶面积指数产品估算植被覆盖度. 遥感, 8, 337.

如有任何疑问，请联系肖志强教授（[e-mail]）。