| Inversion of soil salt content based on Sentinel-1/2 |
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| DOI：10.7606/j.issn.1000-7601.2022.05.27 |
| Key Words: soil salt content inversion Sentinel-1A Sentinel-2A Gram Schmidt transform |
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| Abstract: |
| In this experiment, Sentinel-1A radar image and Sentinel-2A multispectral image were fused by Gram Schmidt (GS) transform, and the correlation between radar image, multispectral image and each band of fusion image and surface soil salt content in Baicheng City, Jilin Province was analyzed. The inversion model of soil salt content in the study area was established to map the soil salt content in the study area. The results showed that there was a significant positive correlation between the VH and VV band backscattering coefficients of Sentinel-1A and the soil salt content in the study area, which could be used as a remote sensing data source for land salinization monitoring. Appropriate mathematical transformation improved the correlation between Sentinel-1A, Sentinel-2A and fusion images and soil salt content. After the fusion of VV band of Sentinel-1A and the fifth band of Sentinel-2A, the correlation coefficient between quadratic transformation and soil salt content reached 0.820. The introduction of appropriate salinity index effectively improved the correlation between Sentinel-2A and fusion image and soil salt content. Among them, the correlation coefficient between salinity index (D2D4)/D3 of fusion image and soil salt content was 0.889. The inversion model of soil salt content in the study area established by using the fusion image and salt index (D2D4)/D3 is Y=86.260X-66.206X2-5.312. The model determination coefficient was 0.791, and the root mean square error was 1.884 g·kg-1, indicating that the method of combining Sentinel-1A radar image and Sentinel-2A multispectral image to improve the accuracy of soil salt content inversion was feasible. |
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