發(fā)布時間：2018-03-20 10:30

  本文選題：Landsat　切入點：OLI　出處：《干旱區(qū)資源與環(huán)境》2017年02期 　論文類型：期刊論文

【摘要】：以Landsat 8 OLI遙感影像為數(shù)據(jù)源,以吉林省中北部黑土過渡區(qū)為研究對象,對研究區(qū)進行土壤實地采樣并化驗土壤有機質(zhì)含量,采用多元回歸分析的方法,建立土壤有機質(zhì)含量的反演模型,反演研究區(qū)土壤有機質(zhì)含量。結(jié)果表明:研究區(qū)土壤反射率與有機質(zhì)含量呈負相關,其中,第5波段達到最大值,為-0.827;將反射率進行倒數(shù)、對數(shù)等變換后可以顯著提高與有機質(zhì)含量的相關性;以第4、第5、第6波段反射率倒數(shù)為自變量,利用多元回歸分析方法建立起來的反演模型,模型判定系數(shù)R2=0.860,總均方根誤差RMSE=0.229,反演研究區(qū)土壤有機質(zhì)含量獲得了良好的效果。本研究成果實現(xiàn)土壤有機質(zhì)含量監(jiān)測的準確性與時效性,為我國黑土區(qū)土壤光譜分析提供借鑒,為區(qū)域土壤生態(tài)環(huán)境監(jiān)測提供數(shù)據(jù)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.
【作者單位】： 遼寧省交通高等專科學校;
【基金】：國家自然科學基金項目(41371332) 中國地質(zhì)調(diào)查局項目(1212010911084) 遼寧省交通高等�？茖W校優(yōu)秀人才項目(lnccrc201401)資助
【分類號】：S153.6
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本文編號：1638682