based on Landsat 8 Remote sensing image of the northern region of Changchun
Abstract
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%.
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