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Proceedings Paper

Comparison of Aster and SPOT4 modified soil adjusted vegetation index data over northwestern China
Author(s): Rong Yu; Bofeng Cai; Qinke Wen
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Paper Abstract

Vegetation indices (VIs) are essential parameters widely used in the biosphere remote sensing retrieval, and the relationship between the same vegetation indexes derived from different sensors is critical to long-term monitoring of land surface properties. In this paper, MSAVI data derived from visible and near-infrared data acquired by the ASTER and SPOT4 sensors were compared over the same time periods and pixel size. The results showed that the two VIs play a higher correlation in high data field. ASTER MSAVI is more sensitive to vegetation coverage information. SPOT MSAVI overvalues the local vegetation reflection signals significantly. The linear relationship between vegetation coverage and MSAVI requires field sampling data to complete correction.

Paper Details

Date Published: 20 August 2010
PDF: 6 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78203G (20 August 2010); doi: 10.1117/12.866486
Show Author Affiliations
Rong Yu, Institute of Remote Sensing Applications (China)
Guangxi Research Academy of Environmental Protection (China)
Bofeng Cai, Institute of Remote Sensing Applications (China)
Qinke Wen, Institute of Remote Sensing Applications (China)


Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)

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