Radarsat-2四极化影像在河套灌区土壤含盐量反演中的应用  

Using Radarsat-2 Four Polarization Images in Salinity Inversion of Hetao Irrigated Soil

作　　者：申晓华[1] 王耀强[1] 郑磊[1] 郭小静[1] 

机构地区：[1]内蒙古农业大学,呼和浩特010018

出　　处：《湖北农业科学》2014年第15期3533-3535,共3页Hubei Agricultural Sciences

基　　金：国家自然科学基金项目(51169016)

摘　　要：以位于河套平原的巴彦淖尔市杭锦后旗陕坝镇为试验区域,利用Radarsat-2四极化数据,配合DEM数据计算得到研究区域的后向散射系数(Sigma Nought)值。通过分析得出Sigma Nought值与土壤含盐量之间的反演关系,并以此为依据对整幅影像进行决策树分类,以确定其盐渍化程度及分布。通过58个点建立的反演模型的决定系数R2=0.753。研究发现此模型的遥感反演效果较好,具有一定的参考和应用价值。Using Shanba Hangjinhouqi area as the experiment object, Radarsat-2 four polarization data and DEM data were used to calculate the backscattering coefficient （Sigma Nought）. By analyzing Sigma Nought and soil salinity,Decision Trees were used to classify the entire image. Coefficient of determination of the inversion model established by 58 points is 0.753. Remote sensing based on this model was found to be better, with certain values of reference and application.

关 键 词：RADARSAT-2 SIGMA Nought 盐渍化 河套平原 

分 类 号：S153.2[农业科学—土壤学]