GNSS surveys performed in critical environments (e.g. the urban canyons) usually suffer for satellites lack due to obstacle such as building and vegetation. A GNSS mission planning software allows to estimate satellite visibility and DOP (Dilution Of Precision) values along a planned trajectory in order to establish the best laps of time to perform the survey. However, this estimation is not reliable in complex scenario as the surrounding environment morphology is not considered. A method to obtain a more reliable GNSS satellite visibility prediction is proposed. This method, in addition to the calculation of the position of the GNSS satellites by means of the orbital parameters, uses 3D DSM (Digital Surface Models) to get a more reliable mission plan. The temporal evolution of key parameters describing the GNSS constellation through a visibility georeferenced map are supplied, either for dynamic but also for static type of surveys.
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