共享平台LAI AVHRR( 0.05°)下载: 点击叶面积指数下载产品

共享平台LAI MODIS( 0.05°)下载: 点击叶面积指数下载产品

共享平台LAI MODIS( 1km)下载: 点击叶面积指数下载产品

 


 

产品介绍

GLASS叶面积指数产品(Leaf Area Index,简称LAI)基于人工神经网络方法训练出从预处理数据MOD09A1 到LAI值的关系模型,用以生产全球陆表叶面积指数产品。LAI产品空间范围为全球陆表,空间分辨率为1km和0.05°,时间分辨率为8天。LAI产品输出格式为HDF-EOS标准格式,包含叶面积指数和质量标识标两个数据集。

 


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.      叶面积指数数据集

 

标签

填充值

255

海洋

255

有效值范围

0~100

比例系数

0.1

 

3.      质量标识

 

位数

比特位组合

含义

0 ~1

00

高质量的LAI值

01

质量好的LAI值

10

填充值

2 ~3

00

用GRNNS反演出的LAI值

01

填充值

4

0

非水体

1

水体

5

0

非雪

1

6

0

无云

1

有云

7

0

未处理云的影响,原始值保留

1

已处理云的影响

 


影像展示

GLASS叶面积指数2013年第193

 


产品文献

[1]Xiao, Z.Q., Liang, S., Wang, J.D., Chen, P., Yin, X.J., Zhang, L.Q., & Song, J.L. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. IEEE Transactions on Geoscience and Remote Sensing, 52, 209-223

[2]Tang, H., Yu, K., Hagolle, O., Jiang, K., Geng, X., & Zhao, Y. (2013). A Cloud Detection Method Based on Time Series of MODIS Surface Reflectance Images. International Journal of Digital Earth, DOI: 10.1080/17538947.17532013.17833313

[3]Xiao, Z., Liang, S., Wang, J., Xiang, Y., Zhao, X., & Song, J. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. IEEE Transactions on Geoscience and Remote Sensing, 54, 5301-5318

[4]Xiao, Z., Liang, S., Tian, X., Jia, K., Yao, Y., & Jiang, B. (2017b). Reconstruction of Long-Term Temporally Continuous NDVI and Surface Reflectance From AVHRR Data. Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10, 5551-5568

[5]Xiao, Z., Liang, S., Wang, T., & Liu, Q. (2015b). Reconstruction of Satellite-Retrieved Land-Surface Reflectance Based on Temporally-Continuous Vegetation Indices. Remote Sensing, 7, 9844-9864

[6]Xiao, Z., Liang, S., & Jiang, B. (2017a). Evaluation of four long time-series global leaf area index products. Agricultural and Forest Meteorology, 246, 218-230

[7]Xu, B., Li, J., Park, T., Liu, Q., Zeng, Y., Yin, G., Zhao, J., Fan, W., Yang, L., & Knyazikhin, Y. (2018). An integrated method for validating long-term leaf area index products using global networks of site-based measurements. Remote Sensing of Environment, 209, 134-151