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基于遥感技术的干旱区土地盐碱化分级
引用本文:亢庆,张增祥,赵晓丽,于嵘. 基于遥感技术的干旱区土地盐碱化分级[J]. 干旱区资源与环境, 2006, 20(3): 144-148
作者姓名:亢庆  张增祥  赵晓丽  于嵘
作者单位:中国科学院遥感应用研究所,北京,100101
基金项目:中国科学院知识创新工程项目
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。

关 键 词:遥感  土地盐碱化  干旱区  监测  分类
文章编号:1003-7578(2006)03-144-05
收稿时间:2005-03-25
修稿时间:2005-03-25

Remote Sensing Application to Rapid Survey of Land Salinization Based on Multi_source Images
KANG Qing,ZHANG Zeng-xiang,ZHAO Xiao-li,YU Rong. Remote Sensing Application to Rapid Survey of Land Salinization Based on Multi_source Images[J]. Journal of Arid Land Resources and Environment, 2006, 20(3): 144-148
Authors:KANG Qing  ZHANG Zeng-xiang  ZHAO Xiao-li  YU Rong
Affiliation:Institute of Remote sensing Applications, Chinese Academic of Sciences, Beijing 100101,China
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.
Keywords:remote sensing  land salinization  soil salinization  arid area  classification
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