MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 250m SIN Grid in 2019 (001–177)

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 2019 (001–177). Please <em><strong>click here</strong> to download the MUSES FVC product <strong>in 2018 (185–361)</strong></em>, and <em><strong>click here</strong> to download the MUSES FVC product <strong>in 2019 (185–361</strong></em><em><strong>)</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2019 (001–177) 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，简称MUSES）产品套件涵盖归一化植被指数（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）以及净初级生产力（Net Primary Production，NPP）等多类参数产品，各产品具备不同的空间与时间分辨率。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250米、时间分辨率8天的全球MUSES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（目前仍持续更新）。该产品基于250米分辨率的MUSES叶面积指数（LAI）产品及其他辅助信息，利用天底视角下光线穿过整个冠层的透射率互补原理生成（Xiao等，2016）。MUSES FVC产品的数值与对应MUSES LAI产品的数值具备物理一致性，且空间覆盖完整、时间序列连续。 本次提供的数据集为2019年第001至177期的MUSES FVC产品。<em><strong>点击此处</strong>可下载2018年第185–361期的MUSES FVC产品</em>，并<em><strong>点击此处</strong>可下载2019年第185–361期的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：2019年（第001–177期） 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 缩放系数：0.01 有效取值范围：0 – 100 <strong>引用说明（使用该数据集时请务必引用以下文献）：</strong> Xiao Zhiqiang等（2016）. 基于GLASS叶面积指数产品估算植被覆盖度. <em>《遥感》（Remote Sensing）</em>，8卷，337页。 如有任何疑问，请联系肖志强教授（[e-mail]）。