Soil humidity real-time monitoring and shared method based on GNSS-R network

Abstract

The invention discloses a soil humidity real-time monitoring and shared method based on the GNSS-R network and belongs to the technical field of smart city geographic information services. The method integrates soil humidity monitoring original data obtaining, soil humidity on-line inversion and soil humidity monitoring result real-time publication and solves the problem that an existing soil humidity monitoring method can not achieve on-line calculating and real-time sharing. Compared with the existing soil humidity monitoring method, under the internet environment, the soil humidity real-time monitoring and shared method can efficiently conduct the on-line calculating and the real-time sharing of the soil humidity monitoring result, and provides support for the real-time sharing and interoperability of the soil humidity data.

Description

technical field [0001] The invention belongs to the technical field of geographic information services for smart cities, and relates to a method for real-time monitoring and sharing of soil moisture in a network environment, in particular to a method for real-time monitoring and sharing of soil moisture based on a GNSS-R network. Background technique [0002] Soil moisture is one of the main monitoring variables of agricultural environmental remote sensing, and the measurement of soil moisture at multiple scales in time and space is of great significance to the study of surface water cycle and carbon cycle[ 1 ]. GNSS-R technology, which uses signals from different GNSS systems including American GPS, Russian GLONASS, European Galileo and my country's Beidou Navigation, etc. features are widely used. GNSS-R technology also has great advantages in soil moisture monitoring[ 2 ]. [0003] In the past ten years, scholars at home and abroad have conducted a lot of research on t...

AI Technical Summary

Problems solved by technology

[0006] At present, the observation of soil moisture using GNSS-R technology is isolated, and multiple researchers collect the same information in the same area within the same time range, which will inevitably lead to waste of time and resources.

In addition, the current soil moisture monitoring results are of various types, and the same results are expressed in different ways, which makes it difficult for cross-disciplinary workers to understand, and it is more difficult to achieve sharing and interoperability on the network

[0007] (2) The inversion principle is complicated, and the process involves many people

The principles, algorithms and models currently used in soil moisture inversion are very complicated, and the inversion process also requires a lot of human participation, making it difficult for non-professionals to understand and operate

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