Abstract
The correct data processing of GNSS measurements, as well as a correct interpretation of the results are fundamental factors for analysis of quality of land surveying works. In that sense, it is important to keep in mind that, although, the statistical data provided by the majority of commercials software used for GNSS data processing, describes the credibility of the work, they do not have consistent information about the reliability of the processed coordinates. Based on that assumption, this paper proposes a classification table to classify the reliability of baselines obtained through GNSS data processing. As data input, the GNSS measurements were performed during the years 2006 and 2008, considering different seasons of the year, geometric configurations of RBMC stations and baseline lengths. As demonstrated in this paper, parameters as baseline length, ambiguity solution, PDOP value and the precision of horizontal and vertical values of coordinates can be used as reliability parameters. The proposed classification guarantees the requirements of the Brazilian Law N( 10.267/2001 of the National Institute of Colonization and Agrarian Reform (INCRA)
Highlights
With the advent of the artificial satellites technology, the activities that involve geodetic measurements have experienced a revolution in recent years, due to the ability that the Global Navigation Satellite System (GNSS) has to produce accurate point positioning, combining promptness and accuracy
The coordinate accuracy values resulting from GNSS data processing and adjustments, is a hard factor to be determined in a day-by-day basis
It is proposed a reliability classification table based on different factors as baseline lengths, PDOP values and geometric configuration of the reference stations
Summary
With the advent of the artificial satellites technology, the activities that involve geodetic measurements have experienced a revolution in recent years, due to the ability that the Global Navigation Satellite System (GNSS) has to produce accurate point positioning, combining promptness and accuracy. These facts have motivated the necessity of revision of the characteristics of the Brazilian Geodetic System, resulting in the implementation of the Brazilian Network for Continuous Monitoring - RBMC and the establishment of SIRGAS2000. These influences are classified into three groups: (1) uncertainties arising in signal emission, (2) uncertainties arising in signal propagation and reception and (3) uncertainties arising in data processing and adjustment
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