Fusing ASTER data and MODIS LAI product to generate high spatial and temporal resolution LAI data in Heihe River Basin

被引：1
|
作者：
Song Jinling [1 ,2 ]
Wang Jindi
Cai Wenwen
Jiang Jingyi
机构：
[1] Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
[2] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100875, Peoples R China
来源：
REMOTE SENSING AND MODELING OF ECOSYSTEMS FOR SUSTAINABILITY VIII | 2011年 / 8156卷
基金：
中国国家自然科学基金;
关键词：
Fusing; MODIS LAI; ASTER; High resolution; LEAF-AREA-INDEX;
D O I：
10.1117/12.897892
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
Based on the Aster LAI estimation, the main object of this paper is to generate the high spatial and high temporal resolution LAI product. One method is proposed to get high spatial and temporal resolution LAI product by fusing MODIS LAI product and Aster LAI. In this method, the LULC data is used to register with MODIS data, then the percentage of classes of PFT classification in the MODIS pixel can be calculated. And the multi-year mean MODIS LAI values are the background data, the Aster LAI is used to adjust this curve of multi-year mean MODIS LAI. And we validate LAI with high spatial and high temporal resolution using the measured data that is not to be used as the training data. The results is good and can meet our study needs.
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页数：8
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