摘要
采用实测土壤高光谱遥感数据和多光谱遥感影像数据采用单元回归分析法对土壤重金属铜含量建立反演预测模型。利用单元回归分析法分别建立模型,得出高光谱的最佳预测波段是R_(942),模型决定系数R2=0.634,多光谱最佳预测波段为B2,模型决定系数R2=0.625。通过显著性检验,均达到显著水平。结果表明多光谱遥感影像数据在本研究区内具有预测重金属铜含量的能力。
In this paper,the model of heavy metal Cu was established by using the method of unit regression analysis and the data of the remote sensing image data and multi spectral remote sensing image data by using the method of measurement.By using the element regression analysis method,the best prediction of the high spectral range is R942,the model's decision coefficient R2=0.634,the multi spectral best prediction band is B2,and the model is determined by R2=0.625.Through the significance test,all reached a significant level.The results show that the multi spectral remote sensing image data has the ability to predict the content of heavy metal Cu in this area.
出处
《北京测绘》
2016年第3期20-23,共4页
Beijing Surveying and Mapping
基金
国家自然科学基金面上项目(41471421)
湖南省科技项目计划(2015WK3022)
关键词
高光谱
多光谱
反射率
定量反演
土壤重金属
hyperspectral
multispectral
reflectance
quantitative inversion
soil heavy metal
