基于热红外光谱的干旱区土壤盐分监测研究

发布时间：2018-03-07 09:25

本文选题：土壤含盐量　切入点：热红外遥感　出处：《干旱区地理》2017年01期 　论文类型：期刊论文

【摘要】：土壤盐渍化是新疆最常见的土地退化过程,已经严重威胁到了当地的农业生产、生态稳定和经济发展。通过对渭库绿洲土壤含盐量和土壤热红外光谱分析,探讨了土壤含盐量与热红外发射率之间的定量关系。结果表明:(1)盐渍化土壤的发射率随着含盐量的变化而发生变化,当土壤盐分增加时,发射率也随之增大。(2)土壤含盐量与热红外发射率光谱数据相关性在8.5~9.5μm波段范围内表现尤为显著,相关系数超过0.8,最高为0.90,对应波段范围9.259~9.271μm。(3)运用回归模型一阶导数变换形式下建模效果和预测精度都是最优的,R2达到了0.899,RMSE最小为1.734。热红外光谱技术可以反演土壤含盐量,为利用热红外遥感识别土壤盐分信息提供技术支撑。
[Abstract]:Soil salinization is the most common process of land degradation in Xinjiang, which has seriously threatened the local agricultural production, ecological stability and economic development. The quantitative relationship between soil salt content and thermal infrared emissivity was discussed. The results showed that the emissivity of salinized soil changed with the change of salt content. The correlation between soil salinity and thermal infrared emissivity was especially significant in the range of 8.5 ~ 9.5 渭 m. The correlation coefficient is more than 0.8, the highest is 0.90, and the corresponding band range is 9.259 ~ 9.271 渭 m 路m ~ (-3). Using the first derivative transformation form of regression model, the modeling effect and prediction accuracy are optimal. The R ~ (2) of RMSE is 0.899N ~ (-1) and the minimum is 1.734. The thermal infrared spectroscopy can be used to retrieve the soil salt content. It provides technical support for identifying soil salt information by using thermal infrared remote sensing.
【作者单位】：新疆大学资源与环境科学学院;新疆大学绿洲生态教育部重点实验室;新疆维吾尔自治区农业资源区划办公室;
【基金】：国家自然科学基金项目(41361016,40901163) 新疆维吾尔科技厅基金(2014KL005)
【分类号】：S156.4

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