A Multi-Observation Least-Squares Inversion for GNSS-Acoustic Seafloor Positioning

Type Article
Date 2020-02
Language English
Author(s) Sakic PierreORCID1, 2, 3, 4, 5, Ballu Valerie1, 2, Royer Jean-YvesORCID4, 5
Affiliation(s) 1 : CNRS, 2 Rue Olympe Gouges, F-17000 La Rochelle, France.
2 : Univ La Rochelle, Littoral Environm & Soc, 2 Rue Olympe Gouges, F-17000 La Rochelle, France.
3 : Helmholtz Zentrum Potsdam, GFZ German Res Ctr Geosci, D-14473 Potsdam, Germany.
4 : CNRS, Rue Dumt Urville, F-29280 Plouzane, France.
5 : Univ Brest, Lab Geosci Ocean, Inst Univ Europeen Mer, Rue Dumt Urville, F-29280 Plouzane, France.
Source Remote Sensing (Mdpi), 2020-02 , Vol. 12 , N. 3 , P. 448 (19p.)
DOI 10.3390/rs12030448
WOS© Times Cited 4
Note This article belongs to the Special Issue Measuring, Monitoring and Exploring the Ocean: From Coast to the Deep Sea
Keyword(s) seafloor geodesy, offshore geodesy, absolute seafloor positioning, GNSS-Acoustic, simulations, least-squares inversion, acoustic two-way-travel times, depth differences, baseline lengths
Abstract

Monitoring deformation on the seafloor is a major challenge for modern geodesy and a key to better understanding tectonic processes and assess related hazards. The extension of the geodetic networks offshore can be achieved by combining satellite positioning (GNSS) of a surface platform with acoustic ranging to seafloor transponders. This approach is called GNSS-Acoustic (GNSS-A). The scope of this work is to provide a tool to identify and quantify key points in the error budget of such experiment. For this purpose, we present a least-squares inversion method to determine the absolute position of a seafloor transponder array. Assuming the surface platform is accurately positioned by GNSS, the main observables are the two-way travel time in water between the transponders on the seafloor and the surface platform acoustic head. To better constrain transponder positions, we also consider the baseline lengths and the relative depth-differences between different pairs of them. We illustrate the usefulness of our forward modeling approach and least-square inversion by simulating different experimental protocols (i.e., platform trajectories, with or without information on the distance and depth between transponders). We find that the overall accuracy of a GNSS-A experiment is significantly improved with additional information about the relative depths of the instruments. Baseline lengths also improve the accuracy, but only when combined with depth differences. The codes in Python3 used in this article are freely available online.

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