Soil moisture content detection method based on hyperspectral remote sensing

Abstract

The invention discloses a soil moisture content detection method based on hyperspectral data. The method is characterized by comprising the following steps: 1) collecting soil samples with different textures and different physicochemical properties in a target area; 2) constructing a soil moisture content-spectral database, and obtaining spectral data of each soil sample under different water content gradients; 3) constructing a water content-spectral reflectance radiation transmission physical model of each soil sample and predicting an optimal waveband; and 4) judging a model to which the spectrum to be measured belongs according to a spectrum angle matching method, obtaining corresponding model parameters, inputting the corresponding optimal waveband reflectivity, and resolving the soilmoisture content. Compared with the prior art, the method has a solid physical foundation, the stability and precision of the model are greatly improved, the universality is high, and the method is particularly suitable for dynamic monitoring and wide application of soil moisture content of different soil types.

Description

technical field [0001] The invention relates to the technical field of spectral analysis, in particular to a method for detecting soil moisture based on hyperspectral remote sensing. Background technique [0002] my country is a country suffering from severe drought and water shortage, and its per capita water resources are only 1 / 4 of the world average level, making it one of the countries with the poorest per capita water resources in the world. Changes in soil moisture (water content) affect processes such as evaporation, infiltration, runoff, and erosion at the land-atmosphere interface, and are key parameters in the fields of agriculture, hydrology, meteorology, and ecology. Therefore, it is very important to retrieve soil moisture information. Accurate, rapid, and non-destructive monitoring of surface soil moisture is of great significance in the fields of hydrology, meteorology, and agricultural science. [0003] Traditional methods of measuring soil moisture using f...

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Problems solved by technology

[0003] The traditional method of soil moisture measurement using fixed-point measurement methods, such as drying weighing, resistance measurement, etc., has the disadvantages of high cost and long cycle when fine spatial sampling intervals are required.

The remote sensing method is non-destructive and fast, and is suitable for dynamic monitoring of large-scale soil moisture. The microwave remote sensing method is widely used in the existing soil remote sensing detection methods. Due to the limitation of its imaging principle and low spatial resolution, it is difficult to apply at field and plot scales

However, optical remote sensing methods are mostly based on statistical methods, and a regression model between soil moisture content and spectral reflectance is established in the two-dimensional spectral feature space. There are significant differences between them, so this type of prediction model does not have a stable physical basis and is not universally applicable

[0004] In summary, there have been no academic papers and related reports on soil moisture detection methods with clear physical mechanisms.

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