| 模拟多光谱的土壤重金属含量反演研究初探 |
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| 引用本文： | 郭云开,曹小燕,谢琼,周峰松.模拟多光谱的土壤重金属含量反演研究初探[J].测绘工程,2015(12). |
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| 作者姓名： | 郭云开 曹小燕 谢琼 周峰松 |
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| 作者单位： | 长沙理工大学 交通运输工程学院,湖南 长沙,410004 |
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| 基金项目： | 国家自然科学基金资助项目，湖南省自然科学基金资助项目，贵州省交通科技项目 |
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| 摘 要： | 根据多光谱传感器的光谱响应函数,采用实测ISI921VF反射光谱数据模拟Landsat卫星ETM+传感器多光谱数据,在模拟光谱的基础上,通过光谱特征提取、构建土壤指数对土壤重金属Cu,Pb,As进行预测分析。研究显示,Cu,Pb与模拟ETM+光谱的B2,B3波段显著相关,As与DSI,RSI,NDSI相关系数在0.6以上,基于模拟多光谱建立的Cu,As模型精度较高,平均相对误差分别为7.9%,2.7%,表明模拟的Landsat卫星ETM+传感器多光谱具有预测耕地土壤重金属的潜力,为实现大范围监测土壤重金属污染提供新思路。
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| 关 键 词： | 土壤重金属 Landsat ETM%2B 模拟多光谱 土壤指数 敏感参数 |
Primary research on the inversion model of soil heavy metal based on simulation multi-spectral data |
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| Abstract: | In this paper , based on the spectral response function of multi‐spectral sensors , measured ISI921VF reflection spectrum data are used to simulate the multispectral data of ETM+ sensor of Landsat satellite ,and based on the simulated spectrum ,the extracted spectral features and constructed soil index are used to analyze and predict the soil heavy metal of Cu ,Pb and As .The study shows the Cu and the Pb are significantly associated with band B3 ,B4 in ETM + ;the correlation coefficients between the As and index DSI ,RSI ,NDSI are above 0.6 ;based on the simulated multispectral ,the Cu prediction model and the As prediction model have high precision and the average relative errors are 7.9% and 2.7% , respectively .It is indicated that simulated multispectral data of ETM + sensor of Landsat satellitecan predicts the heavy metal in farmland soil ,which is a new way provided to achieve a wide range monitoring of soil heavy metal . |
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| Keywords: | soil heavy metal Landsat ETM+ simulate multi-spectral soil index sensitive parameters |
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