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| Vegetation Cover Information Extraction Technology for Dunhuang Oasis Based on Remote Sensing Images |
| Zhang Hao, Qu Jianjun, Zhang Kecun |
| Dunhuang Gobi Research Station/Key Laboratory of Desert and Desertification, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China |
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Abstract Taking Dunhuang oasis for example, Normalized Difference Vegetation Index (NDVI) and Spectral Mixture Analysis (SMA) were used to extract the vegetation coverage information from Landsat TM images. While extracting vegetation coverage based on NDVI, we selected a dimidiate pixel model; In the process of SMA, through reflectance normalization and minimum noise transform (MNF), three end members were identified: vegetation, impervious surface/soil, water/shadow. In the end, the results were tested by high resolution Quickbird images. The results showed that SMA could better extract vegetation cover information in arid area with the better accuracy(R=0.8915; RMSE=0.0882). This study could provide the reference for the protection of ecological environment in Dunhuang oasis.
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Received: 20 February 2014
Published: 20 March 2015
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2015, Vol. 35 
