摘要
为了查明长江流域荒漠化现状,探讨研究区域内荒漠化土地自动分类的有效途径,克服异物同谱和同物异谱现象。以湘西地区为例,利用ETM+卫星数据,探讨了水蚀荒漠化土地覆盖信息的提取方法。在对不同土地覆被类型光谱特征进行系统分析的基础上,根据归一化指数(NDWI、NDVI、NDBI)及3、5、7波段的光谱值,提出了分层信息提取方案。结果表明,该方法简单、实用,准确率高,是一种地物遥感信息提取的有效方法。
In order to find out the desertification status of the Yangtze River Basin, this paper discusses the effective automatic sorting of desertification land type, and the method for overcoming the phenomena of different things with the same spectrum and the same thing with different spectra. Based on the waterpower desertification land, this paper probes into the extraction method for land cover information in western Hunan area by using TM data information of Landsat. In the light of multi - band data of TM, the normalized index （ MNDWI NDVI NDBI） and the difference index were adopted. This paper has also put forward the suggestion of multi - layer information extraction strategy based on TM images of TM3, TM4 and TM5 spectra. The results show that this method is simple and practical, and hence can serve as an effective way for remote sensing information extraction of ground object.
出处
《国土资源遥感》
CSCD
2010年第B11期18-20,共3页
Remote Sensing for Land & Resources
关键词
TM数据
遥感信息提取
光谱曲线
水蚀荒漠化
TM data
Remote Sensing information extraction
Spectral curve
Desertification
