Regional Seafloor Topography by Extended Kalman Filtering of Marine Gravity Data without Ship-Track Information
RAMILLIEN, Guillaume
Centre National de la Recherche Scientifique [CNRS]
Géosciences Environnement Toulouse [GET]
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Centre National de la Recherche Scientifique [CNRS]
Géosciences Environnement Toulouse [GET]
RAMILLIEN, Guillaume
Centre National de la Recherche Scientifique [CNRS]
Géosciences Environnement Toulouse [GET]
< Reduce
Centre National de la Recherche Scientifique [CNRS]
Géosciences Environnement Toulouse [GET]
Language
en
Article de revue
This item was published in
Remote Sensing. 2021-12-31, vol. 14
MDPI
English Abstract
Abstract: An iterative Extended Kalman Filter (EKF) approach is proposed to recover a regional setof topographic heights composing an undersea volcanic mount by the successive combination oflarge numbers of gravity ...Read more >
Abstract: An iterative Extended Kalman Filter (EKF) approach is proposed to recover a regional setof topographic heights composing an undersea volcanic mount by the successive combination oflarge numbers of gravity measurements at sea surface using altimetry satellite-derived grids andtaking the error uncertainties into account. The integration of the non-linear Newtonian operatorsversus the radial and angular distances (and its first derivatives) enables the estimation processto accelerate and requires only few iterations, instead of summing Legendre polynomial seriesor using noise-degraded 2D-FFT decomposition. To show the effectiveness of the EKF approach,we apply it to the real case of the bathymetry around the Great Meteor seamount in the AtlanticOcean by combining only geoid height/free-air anomaly datasets and using ship-track soundings asreference for validation. Topography of the Great Meteor seamounts structures are well-reconstructed,especially when regional compensation is considered. Best solution gives a RMS equal to 400 m withrespect to the single beam depth observations and it is comparable to RMS obtained for ETOPO1 ofabout 365 m. Larger discrepancies are located in the seamount flanks due to missing high-resolutioninformation for gradients. This approach can improve the knowledge of seafloor topography inregions where few echo-sounder measurements are available.Read less <
English Keywords
bathymetry
Kalman Filter
marine gravity anomalies
satellite altimetry
Origin
Hal imported