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产品介绍

GLASS植被覆盖度产品(Fractional Vegetation Cover,简称FVC)基于机器学习方法训练出从预处理的反射率到FVC值的关系模型,用以生产全球陆表植被覆盖度产品。GLASS-FVC产品空间范围为全球陆表, 时间分辨率为8天,全年共监测46 次。其中,基于AVHRR数据生产的植被覆盖度遥感数据集产品的时间范围为1982~2015,采用经纬度投影方式,空间分辨率为 5 km×5 km;基于MODIS数据生产的植被覆盖度遥感数据集产品时间范围为2000~2015 年,采用SIN投影方式,空间分辨率为 0.5 km×0.5 km。GLASS-FVC产品输出格式为HDF-EOS标准格式,包含一个植被覆盖度数据集。

 


数据说明

 

1.      文件说明

 

   产品相关文件包括HDF和XML两个文件,其中数据实体存储在HDF文件中,产品的元数据信息存储在HDF和XML文件中。

 

      2.   植被覆盖度数据集

 

标签

海洋

0

有效值范围

0~250

比例系数

0.004

 


图片展示

GLASS 植被覆盖度产品 2013年第201

 


产品文献

[1]Jia, K., Liang, S., Liu, S.H., Li, Y.W., Xiao, Z.Q., Yao, Y.J., Jiang, B., Zhao, X., Wang, X.X., Xu, S., & Cui, J. (2015). Global Land Surface Fractional Vegetation Cover Estimation Using General Regression Neural Networks From MODIS Surface Reflectance. IEEE Transactions on Geoscience and Remote Sensing, 53, 4787-4796

[2]Jia, K., Liang, S., Gu, X., Baret, F., Wei, X., Wang, X., Yao, Y., Yang, L., & Li, Y. (2016). Fractional vegetation cover estimation algorithm for Chinese GF-1 wide field view data. Remote Sensing of Environment, 177, 184-191

[3]Jia, K., Liang, S.L., Wei, X.Q., Yao, Y.J., Yang, L.Q., Zhang, X.T., & Liu, D.Y. (2018). Validation of Global LAnd Surface Satellite (GLASS) fractional vegetation cover product from MODIS data in an agricultural region. Remote Sensing Letters, 9, 847-856

[4]Jia, K., Yang, L., Liang, S., Xiao, Z., Zhao, X., Yao, Y., Zhang, X., Jiang, B., & Liu, D. (2019). Long-Term Global Land Surface Satellite (GLASS) Fractional Vegetation Cover Product Derived From MODIS and AVHRR Data. Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12, doi:10.1109/jstars.2018.2854293

[5]Yang, L., Jia, K., Liang, S., Liu, J., & Wang, X. (2016). Comparison of Four Machine Learning Methods for Generating the GLASS Fractional Vegetation Cover Product from MODIS Data. Remote Sensing, 8, 682