| 生物土壤与生态 |
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| Extraction of Vegetation Information in Arid Desert Area based on Spectral Mixture Analysis——a Case in the Western Gurbantunggut Desert |
| CUI Yao-ping1,2, WANG Rang-hui1, LIU Tong3, ZHANG Hui-zhi1 |
| 1.Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; 2.Graduate University, Chinese Academy of Sciences, Beijing 100049, China; 3.College of Life Sciences, Shihezi University, Shihezi 832003, Xinjiang, China |
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Abstract The coverage and spatial distribution of vegetation is a fundamental index to estimate the ecological environment and desertification in arid desert area. Comparison among deserts in the same latitude region, Gurbantunggut Desert is the unique which teems with lots of plant species, although the distribution of vegetation is more sparse than that of some typical desert steppe. In this paper, vegetation coverage of the western Gurbantunggut Desert was selected as the target indicator, which was extracted using normalized difference vegetation index (NDVI) and linear spectral mixture model (LSMM), based on Landsat TM images. In order to get better result, we chose the best endmember in the LSMM process through different methods, and utilized the measured vegetation coverage data to validate the vegetation fraction that came from remote sensing images. The results showed that: the NDVI method was subjected to many restrictions, and wasnt suitable for application in the arid desert area. While, the LSMM showed a better result, thus vegetation, alkaline soil, bare sand and dark sand had been successfully selected for further analyses. A significant linear relationship also was found between vegetation fraction and vegetation coverage, with a correlation coefficient of 0.858. All those reflected that vegetation coverage in the arid desert area can be extracted indirectly through remote sensing images.
Keywords: spectral mixture analysis; endmember; arid desert area; normalized
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Received: 01 January 1900
Published: 20 March 2010
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2010, Vol. 30 
