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Proceedings Paper

Fusing ASTER data and MODIS LAI product to generate high spatial and temporal resolution LAI data in Heihe River Basin
Author(s): Jinling Song; Jindi Wang; Wenwen Cai; Jingyi Jiang
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Paper Abstract

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.

Paper Details

Date Published: 15 September 2011
PDF: 8 pages
Proc. SPIE 8156, Remote Sensing and Modeling of Ecosystems for Sustainability VIII, 81560Q (15 September 2011); doi: 10.1117/12.897892
Show Author Affiliations
Jinling Song, Beijing Normal Univ. (China)
Jindi Wang, Beijing Normal Univ. (China)
Wenwen Cai, Beijing Normal Univ. (China)
Jingyi Jiang, Beijing Normal Univ. (China)


Published in SPIE Proceedings Vol. 8156:
Remote Sensing and Modeling of Ecosystems for Sustainability VIII
Wei Gao; Thomas J. Jackson; Jinnian Wang; Ni-Bin Chang, Editor(s)

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