|Table of Contents|

Inversion of Soil Organic Matter Content Based on Sentinel-2A Remote Sensing Image

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2020年02
Page:
94-100
Research Field:
Publishing date:

Info

Title:
Inversion of Soil Organic Matter Content Based on Sentinel-2A Remote Sensing Image
Author(s):
MA Chi
(Liaoning College of Communication，Shenyang,Liaoning 110122)
Keywords:
Sentinel-2A; remote sensing; organic matter; inversion; regression analysis
PACS:
-
DOI:
10.11937/bfyy.20191174
Abstract:
In this study，we utilized the remote sensing image of Sentinel-2A and combine the laboratory test value of the organic matter content in soil samples from Dehui city and Nong′an County to retrieved the soil organic matter content in the surface layer of the area.Firstly，select ten Sentinel-2A visible，near-infrared and short-wave infrared bands with a resolution of 10 m (20 m)，and carried out radiation calibration and atmospheric calibration of the remote sensing images to eliminate the influence of the atmosphere on sensor imaging.Then，obtained the sensitive bands of organic matter through analyzing the correlation of the reflectance of each wave band and soil organic matter content.Finally，the inversion model of soil organic matter content was established by multiple regression analysis to research the soil organic matter content in the surface layer of the area.The results showed that the Sentinel-2A remote sensing images had a good correlation with the soil organic matter content in the visible and near-infrared bands，and reached a peak value of r=-0.817 in the sixth band.The correlation between the reflectivity and the organic matter content could be effectively improved after the appropriate mathematical transformation of the reflectivity.In addition，it was found that the excellent correlation was exhibited between the exponential transformation and the organic matter content，in which the correlation coefficient was r=-0.867.Moreover，the inversion model SOM=26.31/R2-117.56eR4-9.74R8-1.48+145.89 of soil organic matter content in the study area established by multiple regression analysis method possess the advantage of high accuracy and better stability，in which determination coefficient was up to R2=0.917，and the root mean square error was 5.86 g·kg-1.

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Last Update: 2020-02-24