MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 1km SIN Grid in 2017

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 1 km 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 1 km 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 2017. Please click here to download the MUSES FVC product in 2016, and click here to download the MUSES FVC product in 2018. Dataset Characteristics: Spatial Coverage: Global Temporal Coverage: 2017 Spatial Resolution: 1 km 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）、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1 km、时间分辨率8天的全球MUSES植被覆盖度（FVC）产品。MUSES FVC产品采用正弦投影网格（Sinusoidal grid）进行组织，时间跨度为2000年至2019年（数据持续更新中）。该产品基于1 km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光线穿过整个冠层的透射率补一算法生成（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。该MUSES FVC产品空间覆盖完整，时间序列连续。 本数据集为2017年版MUSES FVC产品。点击此处下载2016年版MUSES FVC产品，点击此处下载2018年版MUSES FVC产品。 数据集特征： 空间覆盖范围：全球 时间覆盖范围：2017年 空间分辨率：1 km 时间分辨率：8天 投影方式：正弦投影 数据格式：HDF 缩放系数：0.004 有效取值范围：0~250 引用说明（使用本数据集时请引用以下文献）：肖志强等人（2016）. 基于GLASS叶面积指数产品反演植被覆盖度. 《遥感（Remote Sensing）》, 8卷, 337页。 如有任何疑问，请联系肖志强教授（邮箱：[e-mail]）。