Degradation of GNSS Accuracy by Multipath and Tree Canopy Distortions in a School Environment

Authors

DOI:

https://doi.org/10.24203/ajas.v6i4.5458

Keywords:

GNSS accuracy, multipath, tree canopy, environment, reclassification

Abstract

Accurate position determination with GNSS technology requires unimpeded view of the sky. It has however been noticed that control stations established with GNSS technique for surveying/research projects no longer yield the desired accuracy after some years. This could be as a result of environmental features (buildings, fences, trees, etc) sprouting around them due to infrastructural development and urbanization. This paper investigates the extent of degradation of accuracy at fifteen such stations located within a school environment. The study was done by comparing GNSS fixes of those stations with their corresponding positions determined in a total station (electronic tacheometer) survey. The latter was used as study control because it is not affected by the environmental features and factors monitored. The study showed that some of the stations are no longer suitable for the GNSS technique (GDOP is too high (171.6)); while for others, their GNSS-derived positions differed from those of total station by as much as 5.7m. All the controls were therefore reclassified in accordance with national and international accuracy standards. We also recommend that once in a while such checks and reclassification should be done for existing controls.

Author Biographies

Victus N. Uzodinma, University of Nigeria, Nsukka (Enugu-Campus)

Department of Geoinformatics and Surveying, Senior Lecturer

Uchechukwu Nwafor, University of Nigeria, Nsukka (Enugu Campus)

Department of Geoinformatics and Surveying, Graduate-Assistant

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Published

2018-09-01

How to Cite

Uzodinma, V. N., & Nwafor, U. (2018). Degradation of GNSS Accuracy by Multipath and Tree Canopy Distortions in a School Environment. Asian Journal of Applied Sciences, 6(4). https://doi.org/10.24203/ajas.v6i4.5458

Issue

Vol. 6 No. 4 (2018): August 2018

Section

Articles

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