摘要
以河套平原巴彦淖尔市杭锦后旗陕坝镇灌区土壤盐分雷达监测数据为依据,研究基于RADARSAT-2数据的盐渍化信息提取技术与方法。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。经实测数据检验该方法能够在一定程度上满足盐渍化监测的需要,优于传统盐渍土分类方法,可丰富盐渍化监测的理论与方法,促进微波遥感在土壤盐渍化监测中的开拓应用。
This rearch mainly focused on the soil salinity related radar surveillance data in Shanba town of Hanggin Rear Banner,Bayannaoer city,Hetao plain. A study on the RADARSAT- 2 based soil salinization information extraction technology and method was conducted. Using the four polarized Radarsat- 2 data,accompanied by the DEM derived Sigma naught in the studied area to figure out inversion relations between sigma naught values and soil salt content. Thus,the whole image associated decision tree classification was applied so as to determine the degree and distribution of salinity in the study area. Results indicated that the method tested by measured data could meet the requirements of salinization monitoring,which is superior to the traditional soil classification method. It can enrich the salinization monitoring related theory and method,promoting the application of microwave remote sensing in salinization monitoring.
出处
《干旱区资源与环境》
CSSCI
CSCD
北大核心
2015年第8期180-184,共5页
Journal of Arid Land Resources and Environment
基金
国家自然科学基金项目(51169016)资助
