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Proceedings Paper

Automated monitoring of snow cover over China using FY-1C and NOAA-16 satellite data
Author(s): Yujie Liu; Zhaojun Zheng
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Paper Abstract

In order to reduce the human labor in snow cover monitoring, recent study has been done on modification of the multi-spectral thresholds method which was developed in NSMC in 1996. Based on the analysis of the spectral characteristics of snow, cloud and other types of earth surface with multi-spectral data, an automated processing system with the new thresholds method to distinguish snow and cloud have been set up in NSMC. The devised technique is applied to multi-spectral data from FY-1C and NOAA-16 for mapping snow cover over China during winter season. To assess performance of the modification, the automatically produced snow data sets have been compared with the NOAA operational snow products and validated against in situ land surface observations in China. There is a good consistency between our results, NOAA snow data and ground measurements. The correlation coefficient between the snow cover produced by NSMC and NOAA is about 80%. The results of the comparison show us that the 1.6µm band data is very useful for snow and cloud distinguishing. The new method can reduce the human labor in snow cover monitoring and produce accurate snow cover images in China using FY-1C and NOAA-16 satellite data.

Paper Details

Date Published: 16 June 2003
PDF: 11 pages
Proc. SPIE 4895, Applications with Weather Satellites, (16 June 2003); doi: 10.1117/12.466791
Show Author Affiliations
Yujie Liu, National Satellite Meteorological Ctr. (China)
Zhaojun Zheng, National Satellite Meteorological Ctr. (China)

Published in SPIE Proceedings Vol. 4895:
Applications with Weather Satellites
W. Paul Menzel; Wen-Jian Zhang; John Le Marshall; Masami Tokuno, Editor(s)

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