高光谱遥感土壤有机质含量信息提取与分析  

Analysis and Extraction Soil Organic Matter Information Based on Hyperspectral Remote Sensing

作　　者：王小攀[1] 郑晓坡[1] 刘福江[1] 李登朝[1] 李婵[1] 

机构地区：[1]中国地质大学信息工程学院,湖北武汉430074

出　　处：《地理空间信息》2012年第5期75-78,7,共4页Geospatial Information

摘　　要：通过分析室外实测的土壤光谱与室内测定的土壤化学成分之间的关系,利用单相关分析和线性回归等统计学方法,结合光谱微分技术,建立了武汉地区土壤有机质含量预测模型。选取精度较高的反射率对数的一阶微分模型应用到Hyperion影像中,获得了研究区土壤有机质分类图。Through analysis relationship of the outdoor measured soil spectrum and indoor measured soil chemical composition,based on the method of single correlation analysis,liner regression and spectral differential technique,this paper established prediction model of SOM content which had higher precision and accuracy.Through the comparative analysis,it find that reflectivity logarithm of one-order differential is the best model to inversion the SOM contents in Hyperion.

关 键 词：土壤有机质含量 高光谱 土地资源评价 单相关分析 逐步线性回归 

分 类 号：P237[天文地球—摄影测量与遥感]