基于Landsat8吉林中北部地区土壤有机质定量反演研究

发布时间：2018-03-20 10:30

  本文选题：Landsat　切入点：OLI　出处：《干旱区资源与环境》2017年02期 　论文类型：期刊论文

【摘要】：以Landsat 8 OLI遥感影像为数据源,以吉林省中北部黑土过渡区为研究对象,对研究区进行土壤实地采样并化验土壤有机质含量,采用多元回归分析的方法,建立土壤有机质含量的反演模型,反演研究区土壤有机质含量。结果表明:研究区土壤反射率与有机质含量呈负相关,其中,第5波段达到最大值,为-0.827;将反射率进行倒数、对数等变换后可以显著提高与有机质含量的相关性;以第4、第5、第6波段反射率倒数为自变量,利用多元回归分析方法建立起来的反演模型,模型判定系数R2=0.860,总均方根误差RMSE=0.229,反演研究区土壤有机质含量获得了良好的效果。本研究成果实现土壤有机质含量监测的准确性与时效性,为我国黑土区土壤光谱分析提供借鉴,为区域土壤生态环境监测提供数据支持。
[Abstract]:Taking Landsat 8 OLI remote sensing image as the data source, taking the black soil transition area in the middle and north of Jilin Province as the research object, the soil was sampled and the content of soil organic matter was tested in the study area. The method of multiple regression analysis was used to analyze the soil organic matter content. The inversion model of soil organic matter content was established to invert the soil organic matter content in the study area. The results showed that the soil reflectivity was negatively correlated with the organic matter content, and the fifth band reached the maximum value (-0.827). The correlation between logarithmic transformation and organic matter content can be improved significantly, and the inversion model established by multivariate regression analysis is based on the reciprocal reflectivity of the 4th, 5th and 6th bands as independent variables. The model determination coefficient R2N 0.860, the total RMSE error RMSE 0.229, and the inversion of soil organic matter content in the study area obtained good results. The results of this study can realize the accuracy and timeliness of soil organic matter content monitoring, and provide a reference for the soil spectral analysis in the black soil area of China. To provide data support for regional soil ecological environment monitoring.
【作者单位】： 辽宁省交通高等专科学校;
【基金】：国家自然科学基金项目(41371332) 中国地质调查局项目(1212010911084) 辽宁省交通高等专科学校优秀人才项目(lnccrc201401)资助
【分类号】：S153.6
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本文编号：1638682