Paper
20 August 2010 Comparison of Aster and SPOT4 modified soil adjusted vegetation index data over northwestern China
Rong Yu, Bofeng Cai, Qinke Wen
Author Affiliations +
Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 78203G (2010) https://doi.org/10.1117/12.866486
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China
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.
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Rong Yu, Bofeng Cai, and Qinke Wen "Comparison of Aster and SPOT4 modified soil adjusted vegetation index data over northwestern China", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78203G (20 August 2010); https://doi.org/10.1117/12.866486
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KEYWORDS
Vegetation

Sensors

Data corrections

Remote sensing

Data acquisition

Near infrared

Soil science

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