Radar remote sensing-based detection method of soil alkalization

Abstract

The invention discloses a radar remote sensing-based detection method of soil alkalization, comprising the following steps: computing the polarization parameter based on full polarimetric SAR data, dividing bare areas and vegetation-covered areas and generating images with masks; delimiting test areas and adopting measuring data to establish a dielectric model of moist salt soil; adopting the full polarimetric SAR data to invert a complex permittivity map and carrying out RD geocoding, data information separation and conversion; based on the dielectric model and the complex permittivity, adopting the genetic algorithm for inversion to obtain moisture contents and salt contents of areas, and integrating geographic coordinate information and a vegetation cover mask map to generate a moisture content map and a salt content map; adopting the complex permittivity and the moisture contents of areas to differentiate saline soil from alkali soil. By adopting the technical proposal of the invention, the moisture content and the salt content of the soil in saline areas can be obtained, the degree of dependence on ground assistant data is reduced and simultaneously the dielectric behavior of the moist salt soil can be better depicted.

Description

technical field [0001] The invention relates to the technical field of microwave remote sensing applications, in particular to a radar remote sensing monitoring method for soil salinization. Background technique [0002] Microwave remote sensing technology is a relatively young subject, and my country's research in this field started in the 1970s. The research work has developed from the qualitative analysis of single-band, single-polarization airborne Synthetic Aperture Radar (SAR) data in the past to the quantitative analysis of multi-band, multi-polarization, and multi-mode spaceborne SAR data at the present stage. With the launch of high-resolution full-polarization SAR satellites, microwave remote sensing technology will enter a new development period, both theoretically and technically, which requires a lot of basic research. At present, soil salinization is a serious problem in the world, and it is extremely important to strengthen the monitoring of soil salinization...

AI Technical Summary

Problems solved by technology

[0021] 1. Soil particle size data is required as prior basic data, which hinders the implementation of large-scale inversion of soil water content;

[0022] 2. The intermediate auxiliary parameters that need to be calculated in the second step are all based on empirical formulas, which have local applicability and are not easy to promote on a large scale;

[0023] 3. Insufficient consideration of the factors affecting the imaginary part of the complex dielectric constant of the soil makes this technology only applicable to water-containing soils. For the widely existing salinized soils, this technology cannot express its dielectric characteristics;

[0024]4. Traditional SAR technology has certain limitations in retrieving complex permittivity. Usually, multi-angle and multi-polarization data are required for better inversion. This makes it difficult to guarantee data acquisition, and the monitoring cycle is lengthened accordingly

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