Method for separating passive microwave remote sensing mixed pixel component soil radiation signals

Abstract

The invention relates to the field of microwave remote sensing, and discloses a method for separating passive microwave remote sensing mixed pixel component soil radiation signals. The method comprises the following steps: establishing a mixed pixel multi-angle microwave radiation model by using a microwave radiation transmission model; calculating parameters in the mixed pixel multi-angle microwave radiation model by utilizing vegetation indexes; acquiring the relationship between the soil microwave remote sensing radiation signals at different observation angles by utilizing a bare soil surface emission theoretical model; and resolving the mixed pixel multi-angle microwave radiation model to obtain the microwave emissivity of vegetation-covered soil in the mixed pixels and the microwaveemissivity of bare soil. According to the invention, passive microwave remote sensing multi-angle observation information is fully mined; the microwave remote sensing radiation signals of the mixed pixels are separated, the microwave emissivity of the vegetation covered soil and the emissivity of the bare soil in the mixed pixels are obtained, and the passive microwave remote sensing data processing depth, the surface parameter inversion product applicability and the product precision are improved.

Description

technical field [0001] The invention relates to the field of microwave remote sensing, in particular to a method for separating soil radiation signals of passive microwave remote sensing mixed pixel components. Background technique [0002] Microwave remote sensing is a technology that uses microwave bands to observe target scattering and radiation characteristics. Compared with optical remote sensing methods, microwave has the advantage of working all-weather and all-weather, and has a certain penetration ability to vegetation layers, and can obtain soil information under vegetation coverage. This is also one of the important advantages of microwave remote sensing for vegetation and soil parameter inversion. In addition, the passive microwave remote sensing method has the characteristics of short revisit period and low spatial resolution, which is conducive to obtaining long-term large-scale earth observation data. Therefore, the use of passive microwave remote sensing da...

AI Technical Summary

Problems solved by technology

However, since the spatial resolution of passive microwave remote sensing pixels is usually on the scale of tens of kilometers or even tens of kilometers, the spatial resolution is low, and there may be multiple types of vegetation, water bodies, bare soil, towns, etc. in the same pixel. land cover, this type of cell is called a mixed cell

Due to the large difference in the microwave radiation of different land cover types, the spatial heterogeneity brings great difficulties to the inversion of the surface parameters of mixed pixels

[0003] The main problem of traditional passive microwave remote sensing data processing is that it does not consider the difference in microwave radiation signals of different land cover types, but considers the entire mixed pixel as a whole, so that the inverted surface parameters can only be the average of mixed pixels value, which brings many uncertainties to the processing of passive microwave remote sensing data and the application of surface parameter products

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