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Proceedings Paper

The composite vegetation indexes and spatial analysis applied to rock-desertification information extraction
Author(s): Chengxing Ling; Huaiqing Zhang; Hui Lin
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Paper Abstract

In this paper we used an approach that applies the improved EVI, NDWI and spatial-gradient analysis, to reduce the mixed information problems and ameliorate extraction technique based on the analysis in multi-spectral remote sensing images and Vegetation Indexes. CBERS-02B CCD image data were used to study the principle and method of quickly extracting the rock-desertification information in Wuchuan County, Guizhou Province. 186 out of 203 sites were verified as rock desertification sites by field work. The results show that 12 sites were misclassified, 5 unclassified, and the overall accuracy is 91.8%.

Paper Details

Date Published: 9 October 2009
PDF: 9 pages
Proc. SPIE 7471, Second International Conference on Earth Observation for Global Changes, 74710F (9 October 2009); doi: 10.1117/12.836451
Show Author Affiliations
Chengxing Ling, Chinese Academy of Forestry (China)
Central South Univ. of Foresty and Technology (China)
Huaiqing Zhang, Chinese Academy of Forestry (China)
Hui Lin, Central South Univ. of Forestry and Technology (China)

Published in SPIE Proceedings Vol. 7471:
Second International Conference on Earth Observation for Global Changes
Xianfeng Zhang; Jonathan Li; Guoxiang Liu; Xiaojun Yang, Editor(s)

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