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Proceedings Paper

Simplified desertification monitoring approach based on K-TTCT: a case study on Guyuan county, Heibei province, China
Author(s): Bao Cao; Qiming Qin; Lin Zhu; Baishou Li
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Paper Abstract

Desertification is severely threatening the agricultural production and social stability in the 21st century. Traditionally, desertification assessment is indicated by Vegetation Coverage (VC), which can be derived from remote sensing data. However, vegetation indices are inefficient when VC is less than 15%. A simplified desertification monitoring approach based on Kauth-Thomas Tasseled Cap Transformation (K-TTCT) is proposed in this paper: First, brightness, greenness and wetness information was produced using landsat5 TM images by K-TTCT. The non density model was used for the reversion of VC. And the brightness, greenness, wetness and VC were plotted in n-visualization. They plotted nearly in a linear shape when the data was rotated to a certain view angle. Then their characteristics in n-D visualization were analyzed and training samples were selected with the help of n-D visualizer. Finally, a case study was carried out in Guyuan county, Heibei province, China using the approach proposed in this paper. It shows that this approach can overcome the deficiency of traditional desertification assessment approaches and produce a better desertification assessment outputs with an overall accuracy higher than 85%.

Paper Details

Date Published: 14 November 2007
PDF: 8 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67900E (14 November 2007); doi: 10.1117/12.741703
Show Author Affiliations
Bao Cao, Institute of Remote Sensing and GIS (China)
Qiming Qin, Institute of Remote Sensing and GIS (China)
Lin Zhu, Institute of Remote Sensing and GIS (China)
Baishou Li, Institute of Remote Sensing and GIS (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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