摘要：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).
其他摘要：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).
