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Proceedings Paper

Calibration evaluation of the spaceborne hyperspectral CHRIS image
Author(s): Xia Zhang; Bing Zhang; Fangchao Hu; Qingxi Tong
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Paper Abstract

Atmospheric correction based on hyperspectral image itself was performed on the new spaceborne imaging spectrometer CHRIS image by using the popular radiance transfer code ACORN(Atmospheric CORrection Now) and empirical algorithm as well, in this way, the calibration performance of CHRIS was evaluated by the retrieved spectra of vegetation and soil. It turned out, the vegetation reflectance spectra inverted by ACORN could characterize vegetation reflectance in the range of 498~760nm, but gave a fairly large deviation beyond 760nm, showing the deficiency of spectral calibration beyond 760nm. The ACORN derived soil reflectance decreased after 760nm, which is quite inconsistent with common sense, showing that the calibration accuracy couldn't meet requirements of ACORN for spectral and radiometric calibration at certain spectral range. In addition, the stripes on the retrieved water vapor content map indicated that the radiance calibration performance needs to be improved. On the contrary, AVIRIS was validated to have better calibration performance so that more precise spectra could be retrieved by ACORN5.

Paper Details

Date Published: 9 June 2006
PDF: 6 pages
Proc. SPIE 6200, Remote Sensing of the Environment: 15th National Symposium on Remote Sensing of China, 62000B (9 June 2006); doi: 10.1117/12.681242
Show Author Affiliations
Xia Zhang, Institute of Remote Sensing Applications (China)
Bing Zhang, Institute of Remote Sensing Applications (China)
Fangchao Hu, Institute of Remote Sensing Applications (China)
Qingxi Tong, Institute of Remote Sensing Applications (China)


Published in SPIE Proceedings Vol. 6200:
Remote Sensing of the Environment: 15th National Symposium on Remote Sensing of China
Qingxi Tong; Wei Gao; Huadong Guo, Editor(s)

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