Digital Surface Models for GNSS Mission Planning in Critical Environments
Publication: Journal of Surveying Engineering
Volume 140, Issue 2
Abstract
Global Navigation Satellite System (GNSS) surveys performed in critical environments (e.g., urban canyons, mountainous areas, or areas of dense vegetation) usually suffer from a lack of satellite coverage as a result of obstacles such as buildings and vegetation. GNSS mission-planning software provides an estimate of satellite visibility and dilution-of-precision (DOP) values along a planned trajectory to establish the best time frame over which to perform the survey. However, such an estimate is not reliable in a complex scenario because the surrounding environmental morphology is not considered. This paper introduces a new method to improve the prediction of GNSS satellite visibility. This method involves computing GNSS satellites position by means of the orbital parameters, as well as using three-dimensional digital surface models (DSMs) to develop a more reliable mission plan. The time evolution of key parameters describing the GNSS constellation is computed by means of a visibility georeferenced map for both dynamic and static surveys.
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Published In
Journal of Surveying Engineering
Volume 140 • Issue 2 • May 2014
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Feb 11, 2013
Accepted: Jul 10, 2013
Published online: Jul 12, 2013
Published in print: May 1, 2014
Discussion open until: Jul 6, 2014
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