MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 500m SIN Grid in 2002
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https://zenodo.org/record/7857421
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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 500m spatial resolution and 8-day temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2018 (continuously updated). It was generated from the MUSES LAI product at 500m 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 2002. Please click here to download the MUSES FVC product in 2001, and click here to download the MUSES FVC product in 2003.
Dataset Characteristics:
Spatial Coverage: Global
Temporal Coverage: 2002
Spatial Resolution: 500m
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 (zhqxiao@bnu.edu.cn).
多尺度卫星遥感(MUltiscale Satellite remotE Sensing, MUSES)产品套件包含针对不同时空分辨率的多类参数产品,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)、光合有效辐射吸收比例(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)等参数。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MUSES全球植被覆盖度(Fractional Vegetation Coverage, FVC)产品,空间分辨率为500米,时间分辨率为8天。该MUSES FVC产品采用正弦曲线格网(Sinusoidal grid)进行存储,时间跨度为2000年至2018年(数据持续更新中)。本产品基于500米分辨率的MUSES叶面积指数(Leaf Area Index, LAI)产品及其他辅助信息,通过天底观测方向下整个冠层光线透过率的互补归一化方法生成(Xiao等,2016)。MUSES FVC产品的数值与对应MUSES LAI产品的数值具有物理一致性。该MUSES FVC产品空间覆盖完整,时间序列连续。
本数据集为2002年版MUSES FVC产品。请点击此处下载2001年版MUSES FVC产品,点击此处下载2003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:2002年
空间分辨率:500米
时间分辨率:8天
投影方式:正弦曲线投影(Sinusoidal)
数据格式:HDF
尺度因子:0.004
有效取值范围:0~250
引用说明(使用本数据集时请务必引用该文献):
肖志强 等(2016). 基于GLASS叶面积指数产品反演植被覆盖度. Remote Sensing, 8, 337.
如有任何疑问,请联系肖志强教授(邮箱:zhqxiao@bnu.edu.cn)。
创建时间:
2023-04-26



