EGU23-15254, updated on 10 Jan 2024
https://doi.org/10.5194/egusphere-egu23-15254
EGU General Assembly 2023
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Comparison of GNSS PPP-AR packages for post-processing seafloor geodetic data.

Edgar Lenhof1, Jean-Yves Royer1, Valérie Ballu2, Pierre Sakic3, Charles Poitou1, Mickael Beauverger1, Thibault Coulombier2, Denis Dausse2, Gregor Jamieson4, Pierre-Yves Morvan4, and Marc-André Gutscher1
Edgar Lenhof et al.
  • 1CNRS UMR6538, Géo-Océan, Plouzané, France (edgar.lenhof@univ-brest.fr)
  • 2Univ. La Rochelle & CNRS, LIENSs, La Rochelle, France
  • 3Institut de Physique du Globe de Paris - Université Paris-Cité, Volcanological and Seismological Observatories, France
  • 4iXblue, Acoustic Dpt, Plouzané, France

GNSS/A is a proven method to localize seafloor geodetic stations and, thus, to monitor seafloor tectonic phenomena. This approach combines GNSS positioning of a surface platform with acoustic ranging between this platform and acoustic beacons on the sea bottom, with the objective to localize the beacons in a global frame within a centimeter or so. As part of the FOCUS project, a network of seafloor stations was deployed offshore Sicily in Italy, at about 1900 meters depth. It was surveyed from a small autonomous surface vehicle (ASV) equipped with two GNSS receivers. Here we present the post-processing applied to the GNSS surface navigation data in order to reduce the uncertainty budget of the GNSS/A algorithm. We found significant discrepancies between GNSS receivers in terms of signal degrading effects (multipaths, cycle slips, signal interruptions). We also found that GNSS antennas are less subject to these effects when mounted on an ASV rather than on the main vessel mast. The correlation found between solution accuracy and signal degrading effects potency turned out to be inadequate to predict the former knowing the latter. Then, we compared the accuracy of kinematic solutions from three GNSS PPP-AR post-processing packages to a few/several centimeters level. From our analysis, we find that the best accuracy was reached using the CSRS-PPP service.

How to cite: Lenhof, E., Royer, J.-Y., Ballu, V., Sakic, P., Poitou, C., Beauverger, M., Coulombier, T., Dausse, D., Jamieson, G., Morvan, P.-Y., and Gutscher, M.-A.: Comparison of GNSS PPP-AR packages for post-processing seafloor geodetic data., EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-15254, https://doi.org/10.5194/egusphere-egu23-15254, 2023.