Soil humidity estimation method and equipment based on Beidou navigation data of smart phone

Abstract

The invention provides a soil humidity estimation method and equipment based on Beidou navigation data of a smart phone. The method comprises the following steps of: 1, acquiring direct and reflection data in a time-sharing manner by adopting a smart phone; 2, filtering and visualizing the reflection data and the direct data; 3, adding influence factors such as mobile phone antenna orientation, mobile phone fixing mode, topographic relief and soil roughness, and determining external conditions to be met during formal measurement; and step 4, carrying out an experiment changing along with space and an experiment changing along with time, and obtaining a linear relation between the signal-to-noise ratio and the in-situ soil humidity from experimental data. According to the method, the soil humidity is estimated by trying to use the signal-to-noise ratio of the Beidou signal of the smart phone for the first time, compared with a traditional fixed receiver, an experiment area can be flexibly selected, real-time data can be acquired on site, the Beidou GEO satellite is static relative to the ground, the position of a reflection area is fixed and easy to calculate, and generalization in daily life is high.

Description

technical field [0001] Embodiments of the present invention relate to the field of remote sensing technology, and in particular, to a method and device for estimating soil moisture based on smart phone Beidou navigation data. Background technique [0002] Soil moisture is soil water content, which is an important physical substance of soil. Accurate, timely and long-term tracking and monitoring of soil moisture is very important for agricultural, hydrological, meteorological, and geophysical research. The relevant soil moisture measurement method is generally a small range of humidity at a point. The contact measurement has a large workload and high cost, and has a large degree of dispersion, which cannot reflect the soil moisture characteristics of an entire area. The remote sensing satellite has a high flying height and can detect The range is very large, the components in the soil covered are diverse and complex, and the measured results are usually average values. It is ...

AI Technical Summary

Problems solved by technology

The relevant soil moisture measurement method is generally a small-scale humidity at a point, and the contact measurement workload is high, the cost is high, and the degree of dispersion is large, which cannot reflect the soil moisture characteristics of an entire area; the remote sensing satellite flies at a high altitude, and the detection The range is very large, and the composition of the covered soil is diverse and complex. The measured results are usually average values. It is difficult to accurately simulate the loss model in the reflection process, and the accuracy is greatly limited.

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