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Proceedings Paper

Improved method for MODIS cloud detecting
Author(s): Yingyu Hou; Qinhuo Liu; Yanbo He
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Paper Abstract

Data from the Moderate-Resolution Imaging Spectroradiometer (MODIS) are being widely used for quantitatively estimating parameters in the study of atmospheric and land surface processes. Cloud detection is a preliminarily important step in remotely sensed image processing for many applications. In this article, an integrated method for MODIS cloud detection based on band combinations within MODIS data itself was developed. Several MODIS data were applied to evaluate the performance of the new algorithm and the results show that the new algorithm was satisfied for quantitative cloud detection.

Paper Details

Date Published: 14 November 2007
PDF: 6 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67900B (14 November 2007); doi: 10.1117/12.740945
Show Author Affiliations
Yingyu Hou, Institute of Remote Sensing Applications (China)
National Meteorological Ctr. (China)
Qinhuo Liu, Institute of Remote Sensing Applications (China)
Yanbo He, National Meteorological Ctr. (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

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