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基于遥感技术的干旱区土地盐碱化分级
Remote Sensing Application to Rapid Survey of Land Salinization Based on Multi_source Images
【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。
【Abstract】 In this paper,a classificationmethod of SAM was performed to survey extent of land salinization rapidly by analyzing the characters of land surface features and remote sensing information in arid area.In order to extract information of salinization in effect,the multispectral data from different remote sensing plats(SPOT and ASTER) were used,besides DEM and lab dataof soil samples.The quantifiedresults of salinized soil grades were achieved,by the method which was resultfulfor rapid assessment of land salinization,especially in remotearidarea where conventionalmethods are restricted.
【Key words】 remote sensing; land salinization; soil salinization; arid area; classification;
- 【文献出处】 干旱区资源与环境 ,Journal of Arid Land Resources and Environment , 编辑部邮箱 ,2006年03期
- 【分类号】S156.4
- 【被引频次】30
- 【下载频次】703