文献类型：会议论文

英文题名：The composite vegetation indexes and spatial analysis applied to rock-desertification information extraction

作者：Ling, Chengxing[1,2] Zhang, Huaiqing[1] Lin, Hui[2]

第一作者：凌成星;Ling, Chengxing

通信作者：Zhang, H.|[a0005bc6c2ff22e7263a4]张寰;

机构：[1] Institute of Forestry Resource Information and Techniques, Chinese Academy of Forestry, Beijing, 100091, China; [2] Research Center of Forest Remote Sensing and Information Engineering, CSUFT, Changsha, 410004, China

会议论文集：Second International Conference on Earth Observation for Global Changes

会议日期：May 25, 2009 - May 29, 2009

会议地点：Chengdu, China

语种：英文

外文关键词：Climatology - Data mining - Image enhancement - Observatories - Remote sensing - Rocks - Vegetation - Weathering

年份：2009

摘要：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%. ? 2009 SPIE.