摘要
通过分析干旱区土地盐碱化环境的地表景观特征和遥感信息特征,基于SPOT、ASTER多平台多波段遥感数据和DEM、土壤样品分析数据等多源数据,采用光谱角度制图(SAM)的遥感图像分类方法对实验区土地盐碱化程度进行了分级制图。该方法对常规数据的依赖性较小,适于西部干旱地区的土地盐碱化快速监测和评估。
In this paper, a classification method based on multi-source data is performed in order to survey the extent of land salinization rapidly. Firstly, the characters of land surface features and remote sensing information in arid area are analyzed. To extract information of salinization in effect, the multispectral image from SPOT and ASTER are used, besides DEM and lab data of soil samples. Finally, the quantified map of salinized soil grades achieved with Spectral Angle Mapper. The method is resultful for rapid assessment of land salinization, especially in remote arid area where conventional methods are restricted.
出处
《遥感信息》
CSCD
2005年第6期42-45,共4页
Remote Sensing Information
基金
中国科学院知识创新工程重要方向项目(KZCX3-SW-334):生态安全相关要素的定量遥感关键技术研究
关键词
遥感
土地盐碱化
干旱区
监测
分类
remote sensing
land salinization
soil salinization
arid area
classification
