Based on Landsat 8 Remote sensing image of the northern region of Changchun Inversion of soil organic matter content

With Landsat 8 Remote sensing image to data source , using flaash atmospheric Correction Model Atmospheric correction of remote sensing images ,Combining field soil sampling Organic matter Assay Data , using stepwise regression analysis , quantitative inversion of soil organic matter content in the study area . results show , Soil organic matter content with Landsat 8 Remote sensing image reflectivity has strong negative correlation in near infrared band , An appropriate mathematical transformation of the reflectivity can effectively increase the correlation with the organic matter , The stepwise regression model established by this method , Its decision factor r2 =0. 925, Total root Variance Flmse =0. 171, describes the inverse The model has higher precision and stability . based on the above inversion model , Combining remote sensing image classification results , inversion of soil organic matter content in the study area , knot to show , content of soil organic matter in the study area showed a tendency of East High west , East , The content of soil organic matter in the South is generally higher than that of 3, and West , North Region Soil organic matter content is generally lower than 2%.