Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Control Points Selection based on Maximum External Reliability for Designing Geodetic Networks

Version 1 : Received: 16 December 2019 / Approved: 18 December 2019 / Online: 18 December 2019 (03:12:56 CET)

A peer-reviewed article of this Preprint also exists.

Matsuoka, M.T.; Rofatto, V.F.; Klein, I.; Roberto Veronez, M.; da Silveira, L.G., Jr.; Neto, J.B.S.; Alves, A.C.R. Control Points Selection based on Maximum External Reliability for Designing Geodetic Networks. Appl. Sci. 2020, 10, 687. Matsuoka, M.T.; Rofatto, V.F.; Klein, I.; Roberto Veronez, M.; da Silveira, L.G., Jr.; Neto, J.B.S.; Alves, A.C.R. Control Points Selection based on Maximum External Reliability for Designing Geodetic Networks. Appl. Sci. 2020, 10, 687.

Journal reference: Appl. Sci. 2020, 10, 687
DOI: 10.3390/app10020687

Abstract

Geodetic networks are essential for most geodetic, geodynamics and civil projects, such as monitoring the position and deformation of man-made structures, monitoring the crustal deformation of the Earth, establishing and maintaining a geospatial reference frame, mapping, civil engineering projects and so on. Before the installation of geodetic marks and gathering of survey data, geodetic networks need to be designed according to the pre-established quality criteria. In this study, we present a method for designing geodetic networks based on the concept of reliability. We highlight that the method discards the use of the observation vector of Gauss-Markov model. In fact, the only needs are the geometrical network configuration and the uncertainties of the observations. The aim of the proposed method is to find the optimum configuration of the geodetic control points so that the maximum influence of an outlier on the coordinates of the network is minimum. Here, the concept of Minimal Detectable Bias defines the size of the outlier and its propagation on the parameters is used to describe the external reliability. The proposed method is demonstrated by practical application of one simulated levelling network. We highlight that the method can be applied not only for geodetic network problems, but also in any branch of modern science.

Subject Areas

geodetic network; outlier; reliability; reference points; surveying; quality control

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