Accumulated snow depth inversion method based on multi-satellite data fusion

Abstract

The invention relates to the technical field of accumulated snow depth monitoring, in particular to an accumulated snow depth inversion method based on multi-satellite data fusion, which comprises the following steps: acquiring GNSS observation data of a monitoring point; preprocessing the GNSS data, and acquiring the signal-to-noise ratio and elevation angle data of each satellite in the observation time period; separating signal-to-noise ratio and elevation angle data of a satellite elevation angle of 5-20 degrees, and removing a signal-to-noise ratio trend term through quadratic polynomial fitting to obtain a signal-to-noise ratio residual error sequence; carrying out lomb-Scargle spectrum analysis on the signal-to-noise ratio residual error sequence to obtain the main frequency of the sequence; acquiring the snow depth inverted by each satellite; establishing a GNSS-IR snow depth inversion multi-satellite fusion monitoring MARS model according to the obtained inversion snow depth result of each satellite; and outputting an inversion result. According to the method, the multi-satellite data fusion accumulated snow inversion model is established through the MARS theory, the inversion results of all satellites can be effectively integrated, data having great influence on the results are automatically eliminated, the optimal inversion satellite combination is obtained, and the reliability and precision of the inversion results are greatly improved.

Description

technical field [0001] The invention relates to the technical field of snow depth monitoring, in particular to a snow depth retrieval method based on multi-satellite data fusion. Background technique [0002] Snow cover is an important part of the hydrological system, which plays an important role in the balance of freshwater resources and the regulation of climate. Therefore, it is of great significance to continuously and accurately monitor the change of ground snow depth. The traditional snow cover monitoring methods mainly rely on manual measurement or automatic machine measurement on the ground, but these traditional methods have disadvantages such as large field workload, high cost of monitoring equipment, and low temporal and spatial resolution. [0003] With the in-depth study of the global navigation and positioning system, GNSS-IR (Global Navigation Satellite System Interferometric Reflectometry) technology has gradually developed as a new remote sensing monitorin...

AI Technical Summary

Problems solved by technology

However, the surrounding environment of the station and the differences of the satellite itself will affect the results of satellite inversion, which will reduce the reliability and accuracy of some satellite inversions. Snow depth information

Images