A Method of GNSS Regional Station Observation Data Quality Detection

doi:10.13474/j.cnki.11-2246.2017.0214

Abstract

Abstract: After years of observation and accumulation, GNSS data have formed large data scale. Facing large area and multi-year GNSS data, we need to study the data quality detection method to form a fast and normalized detection mechanism to provide quality assurance for GNSS data rapid extraction and application. In this paper, a method of quality detection for GNSS regional station observation data is proposed based on TEQC technology, the detection content, detection method and key points of the method is analyzed. we use the method to complete the 10 stages data quality detection of more than 660 stations in the North China.Experimental results show that the method can be applied to the quality detection of large-scale GNSS stations, which can provide a reference for the national GNSS station data quality detection.

Key words: GNSS, quality detection, environmental analysis, TEQC

CLC Number:

P228

GENG Xiaomin, QIU Jiangtao. A Method of GNSS Regional Station Observation Data Quality Detection[J]. 测绘通报, 2017, 0(7): 10-13.

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