MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 250m SIN Grid in 2010 (001–177)
收藏资源简介:
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 2010 (001–177). Please click here to download the MUSES FVC product in 2009 (185–361), and click here to download the MUSES FVC product in 2010 (185–361). Dataset Characteristics: Spatial Coverage: Global Temporal Coverage: 2010 (001–177) 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 (zhqxiao@bnu.edu.cn).
多尺度卫星遥感(MUltiscale Satellite remotE Sensing,缩写MUSES)产品套件涵盖归一化植被指数(NDVI)、植被近红外反射率(NIRv)、叶面积指数(LAI)、吸收光合有效辐射比例(FAPAR)、植被覆盖度(FVC)、总初级生产力(GPP)、净初级生产力(NPP)等多种参数的不同时空分辨率产品。如需了解MUSES产品的详细信息,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(FVC)产品。MUSES FVC产品采用正弦曲线网格(Sinusoidal grid)投影,时间覆盖范围为2000年至2019年(目前仍在持续更新)。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,利用天底观测方向下冠层整体光透射率的归一化互补关系生成(Xiao等,2016)。MUSES FVC数值与对应MUSES LAI数值具备物理一致性。该产品空间覆盖完整、时间序列连续。 本次提供的为2010年第001至177天的MUSES FVC产品。请点击此处下载2009年第185至361期MUSES FVC产品,以及2010年第185至361期MUSES FVC产品。 数据集特征: 空间覆盖范围:全球 时间覆盖范围:2010年(第001至177天) 空间分辨率:250米 时间分辨率:8天 投影方式:正弦曲线网格 数据格式:HDF 尺度因子:0.01 有效取值范围:0 – 100 引用说明:使用本数据集时需引用以下文献:肖志强等(2016). 基于GLASS叶面积指数产品的植被覆盖度估算. 《遥感》(Remote Sensing), 8, 337。 如有任何疑问,请联系肖志强教授(zhqxiao@bnu.edu.cn)。



