Automatic monitoring and recognition method for salinized land

Abstract

The invention provides an automatic monitoring and recognition method for salinized land, and belongs to the field of environmental monitoring and environmental ecological protection. The method comprises the following steps: collecting soil salt contents of a plurality of sampling points in a research area to form a sample data set; extracting a plurality of wave band values of grids corresponding to the longitude and latitude in the remote sensing image closest to the sampling month according to the longitude and latitude of each sampling point, and obtaining a wave band combination set by constructing different wave band combination forms; then constructing a machine learning soil salt content inversion model, training the model by using the sample data set, and selecting a wave band combination form suitable for inverting the soil salt content of the research area from the wave band combination set to form a sensitive factor set and an optimal inversion model; and obtaining a soil salt content inversion result in a selected month in the research area by using the optimal inversion model. The method can be practically applied to monitoring the salinization degree of the surface soil layer of the arid and semi-arid region and recognizing the salinized soil of different degrees, and provides effective reference basis for local irrigation planning, agricultural management and the like.

Description

technical field [0001] The invention belongs to the field of environmental monitoring and environmental ecological protection, and in particular relates to an automatic monitoring and identification method for salinized land. Background technique [0002] At present, soil salinization has become one of several natural phenomena that affect agricultural production and human life, especially in arid and semi-arid areas. Soil salinization is more serious under the influence of other factors. In addition, frequent agricultural irrigation activities will cause secondary salinization, which intensifies the threat to agricultural production. The use of remote sensing images to monitor and identify saline-alkali land in the basin can guide regional water resources planning and management, especially to effectively guide local irrigation and agricultural water use and soil improvement, which is of great significance to the improvement of the ecological environment and sustainable dev...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to propose a method for automatic monitoring and identification of saline-alkali soil in order to overcome the problem that existing forecasting methods cannot automatically monitor and identify salinized soil simply and accurately

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