MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 250m SIN Grid in 2016 (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 <em>et al</em>., 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 2016 (185–361). <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2016 (001–177)</strong> and <em><strong>click here</strong> to download the MUSES FVC produ</em>ct <strong>in 2017 (001–177)</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2016 (185–361) Spatial Resolution: 250m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 100 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 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）产品套件包含针对归一化差值植被指数（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）、净初级生产力（Net Primary Production, NPP）等参数的不同时空分辨率产品。 如需了解更多MUSES产品相关信息，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天的全球MUSES植被覆盖度产品。MUSES植被覆盖度产品采用正弦网格（Sinusoidal grid）投影，时间跨度为2000年至2019年（持续更新中），其基于250米分辨率的MUSES叶面积指数产品及其他辅助信息，利用天底视角下冠层整体透光率的补数方法生成（Xiao等，2016）。该产品的植被覆盖度数值与对应MUSES叶面积指数数值具有物理一致性，且空间完整、时间连续。 本次提供的为2016年（第185–361期）的MUSES FVC产品。<em>请<strong>点击此处</strong>下载2016年（第001–177期）MUSES FVC产品</em>，并<em><strong>点击此处</strong>下载2017年（第001–177期）MUSES FVC产品</em>。 <strong>数据集特征：</strong> 空间覆盖范围：全球 时间覆盖范围：2016年（185–361） 空间分辨率：250米 时间分辨率：8天 投影方式：正弦网格（Sinusoidal grid） 数据格式：HDF 缩放因子：0.01 有效取值范围：0 – 100 <strong>引用要求（使用本数据集时请务必引用该文献）：</strong> 肖志强等（2016）. 基于GLASS叶面积指数产品估算植被覆盖度. <em>遥感</em>，8，337。 如有任何疑问，请联系肖志强教授（[e-mail]）。