Soil humidity monitoring method and system based on unmanned aerial vehicle and readable storage medium

Abstract

The invention relates to a soil humidity monitoring method and system based on an unmanned aerial vehicle, and a readable storage medium, and the method comprises the steps: collecting a soil image ina target region, carrying out the preprocessing of the soil image, and obtaining soil image information; establishing a soil humidity prediction model, and extracting a soil image gray value to obtain a soil dielectric property; analyzing the soil water content according to the soil dielectric property to obtain result information; displaying the result information according to a preset mode. Theradar echo signals are different according to different dielectric properties of soil with different water contents, the relationship between the scattering coefficient and the soil water content canbe established, the water content in the soil is further analyzed, and the calculation result is relatively accurate.

Description

technical field [0001] The invention relates to a soil moisture monitoring method, in particular to a soil moisture monitoring method, system and readable storage medium based on an unmanned aerial vehicle. Background technique [0002] Soil moisture is an important basic parameter in the study of climate, hydrology, ecology and agriculture. It directly controls the transport and balance of water and heat between the landing surface and the atmosphere. Changes in soil moisture will cause changes in soil thermal properties and surface optical properties, thereby affecting climate change. Regional and large-scale land soil moisture change information is useful for the study of land-atmosphere interaction balance and land surface hydrology, improvement of regional and global climate model forecast results, monitoring of waterlogging and drought, assessment of crop growth status, natural and ecological environmental issues research is a crucial factor. Therefore, it is very im...

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Problems solved by technology

However, most of this method relies on high-altitude aircraft loads in current applications, because the optical remote sensing band cannot penetrate clouds, so it is limited in practical applications.