Using multi-spectral remote sensing data to extract and analyze the vegetation information in desert areas - A case in the western Gurbantunggut desert
文献类型：会议论文
| 作者 | Zhao ; Huai-Bao1 ; Liu ; Tong2 ; Cui ; Yao-Ping3 ; Lei ; Jia-Qiang1 |
| 出版日期 | 2009 |
| 会议名称 | Proceedings-2009 International Conference on Environmental Science and Information Application Technology, ESIAT |
| 会议日期 | 2009 |
| 会议地点 | Wuhan, China |
| 关键词 | Correlation coefficient - Desert area - Desertification monitoring - Gurbantunggut desert - Landsat TM images - Linear relationships - Multi-spectral - NDVI - Remote sensing data - Remote sensing images - Spatial distribution - Spectral mixture analysis - TM image - Vegetation coverage - Vegetation fractions - Vegetation index |
| 页码 | 697-702 |
| 中文摘要 | The coverage and spatial distribution of vegetation in desert areas are fundamental indexes to estimate the desertification severity, and acquiring vegetation information is very beneficial to carry out desertification monitoring and evaluation. Based on Landsat TM image of 2007, vegetation information of the western Gurbantunggut Desert was extracted with vegetation indexes and spectral mixture analysis. The results show that: the U-min method (one of the SMA methods) is the best one and this method was used for further analysis. Moreover, a significant linear relationship is found between vegetation coverage and vegetation fraction extracted from SMA, with a correlation coefficient of 0.858. This indicate that vegetation coverage in desert areas can be extracted through remote sensing images indirectly. © 2009 IEEE. (25 refs.) |
| 收录类别 | EI |
| 会议录 | Proceedings - 2009 International Conference on Environmental Science and Information Application Technology, ESIAT 2009
 |
| ISBN号 | 13: 9780769536828 |
| 源URL | [http://ir.xjlas.org/handle/365004/10820]  |
| 专题 | 新疆生态与地理研究所_中国科学院新疆生态与地理研究所(2010年以前数据) |
| 推荐引用方式 GB/T 7714 | Zhao,Huai-Bao1,Liu,et al. Using multi-spectral remote sensing data to extract and analyze the vegetation information in desert areas - A case in the western Gurbantunggut desert[C]. 见:Proceedings-2009 International Conference on Environmental Science and Information Application Technology, ESIAT. Wuhan, China. 2009. |
入库方式： OAI收割
来源：新疆生态与地理研究所
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