| 线性光谱混合模型的ASTER影像植被应用分析 |
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| 引用本文： | 李慧,陈健飞,余明.线性光谱混合模型的ASTER影像植被应用分析[J].地球信息科学,2005,7(1):103-106,115. |
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| 作者姓名： | 李慧 陈健飞 余明 |
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| 作者单位： | 福建师范大学地理科学学院,福州,350007;广州大学地理科学学院,广州,510405 |
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| 基金项目： | 国家自然科学基金;福建省科技厅科研项目 |
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| 摘 要： | 本文利用线性光谱模型分解混合像元方法。从ASTER多光谱遥感数据提取福州地区植被覆盖丰度的定量信息,与归一化差值植被指数进行了回归分析,结果相关系数高达95％;通过对植被景观格局分析,表明研究区以中等丰度植被占据主要地位,生态系统较为稳定。
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| 关 键 词： | 遥感数据挖掘 线性光谱混合模型 ASTER影像 植被覆盖 福州 |
| 收稿时间： | 2004-04-19; |
Extracting Vegetation Coverage Information from ASTER Remote Sensing Data Based on Linear Spectral Immixture Model |
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| LI Hui,CHEN Jianfei,YU Ming.Extracting Vegetation Coverage Information from ASTER Remote Sensing Data Based on Linear Spectral Immixture Model[J].Geo-information Science,2005,7(1):103-106,115. |
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| Authors: | LI Hui CHEN Jianfei YU Ming |
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| Institution: | 1. College of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China;
2. College of Geographical Sciences, Guangzhou University, Guangzhou 510405, China |
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| Abstract: | Vegetation coverage is an important parameter for evaluating eco-environment of a certain region.Numerous methods have been developed to derive local vegetation condition information from remote sensing data nowadays. Because the existence of mixed pixel, many spectral immixture models have been developed such as linear, probabilistic, geometric-optical, stochastic geometric, fuzzy models. This article tried the most convenient and simple method, linear spectral immixture model on ASTER image data of Fuzhou area. Using this method this paper has generated the vegetation fraction image of Fuzhou area, and evaluated the result by doing a regression analysis between it and the NDVI (Normalized Difference Vegetation Index) image which is also derived from the same scene of the image. The evaluating result shows a strong positive correlation. The landscape matrix of the research area has also been obtained by using FRAGSTSTS software package, which shows that the vegetation coverage of Fuzhou area is in good condition except the dominant type is in the moderate condition. |
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| Keywords: | remote sensing data mining linear spectral immixture model ASTER images vegetation fraction Fuzhou |
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