| 基于植被指数-反照率特征空间的沙漠化信息遥感提取——以张掖绿洲及其附近区域为例 |
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| 引用本文： | 潘竟虎,秦晓娟.基于植被指数-反照率特征空间的沙漠化信息遥感提取——以张掖绿洲及其附近区域为例[J].测绘科学,2010,35(3):193-195. |
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| 作者姓名： | 潘竟虎 秦晓娟 |
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| 作者单位： | 西北师范大学地理与环境科学学院,兰州,730070;西北师范大学地理与环境科学学院,兰州,730070 |
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| 基金项目： | 国家自然科学基金，甘肃省自然科学基金，西北师范大学知识与科技创新工程项目 |
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| 摘 要： | 利用Landsat TM遥感卫星影像反演植被指数和地表反照率,并由此构建了植被指数和地表反照率组成的特征空间,最后利用该特征空间对张掖绿洲及其附近区域的沙漠化现状和程度进行了定量评价。利用野外调查的定位数据对结果进行检验,总体精度达到82%。该方法可以在遥感图像处理软件下实现沙漠化现状与程度的自动识别,而且指标简单、易于获取。与单纯使用遥感光谱信息进行分类相比,对于沙漠化现状与程度的分类和分级具有更好的效果。
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| 关 键 词： | 沙漠化 遥感 特征空间 NDVI 反照率 |
Extracting desertification from landsat imagery using a feature space composed of vegetation index and albedo——a case study of Zhangye oasis and its adjacent areas |
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| PAN Jing-hu,QIN Xiao-juan.Extracting desertification from landsat imagery using a feature space composed of vegetation index and albedo——a case study of Zhangye oasis and its adjacent areas[J].Science of Surveying and Mapping,2010,35(3):193-195. |
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| Authors: | PAN Jing-hu QIN Xiao-juan |
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| Abstract: | In this study, the Landsat TM image of Zhangye Oasis and its adjacent areas were used to retrieve the vegetation index and land surface albedo. A spectral feature space composed of normalized difference vegetation index and land surface albedo was constructed to evaluate present status and degree of desertification quantificationally. The classification error was evaluated by the data acquired from field survey. It indicated that the method was helpful to the extraction of desertification and the overall accuracy of about 82% was satisfying. Compared with the classifying method of only using spectrum information, the method using NDVl-albedo feature space produces a better effect on the classification of the present status and degree of desertification, and the result was tested. |
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| Keywords: | NDVI desertification remote sensing feature space NDVI albedo |
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