High-Resolution Gravity Measurements on Board an Autonomous Underwater Vehicle: Data Reduction and Accuracy Assessment

Gravity on Earth is of great interest in geodesy, geophysics, and natural resource exploration. Ship-based gravimeters are a widely used instrument for the collection of surface gravity field data in marine regions. However, due to the considerable distance from the sea surface to the seafloor, the...

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Main Authors: Dinh Toan Vu, Jérôme Verdun, José Cali, Marcia Maia, Charles Poitou, Jérôme Ammann, Clément Roussel, Jean-François D’Eu, Marie-Édith Bouhier
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/16/3/461
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author Dinh Toan Vu
Jérôme Verdun
José Cali
Marcia Maia
Charles Poitou
Jérôme Ammann
Clément Roussel
Jean-François D’Eu
Marie-Édith Bouhier
author_facet Dinh Toan Vu
Jérôme Verdun
José Cali
Marcia Maia
Charles Poitou
Jérôme Ammann
Clément Roussel
Jean-François D’Eu
Marie-Édith Bouhier
author_sort Dinh Toan Vu
collection DOAJ
description Gravity on Earth is of great interest in geodesy, geophysics, and natural resource exploration. Ship-based gravimeters are a widely used instrument for the collection of surface gravity field data in marine regions. However, due to the considerable distance from the sea surface to the seafloor, the spatial resolution of surface gravity data collected from ships is often insufficient to image the detail of seafloor geological structures and to explore offshore natural minerals. Therefore, the development of a mobile underwater gravimetry system is necessary. The GraviMob gravimeter, developed for a moving underwater platform by Geo-Ocean (UMR 6538 CNRS-Ifremer-UBO-UBS), GeF (UR4630, Cnam) and MAPPEM Geophysics, has been tested over the last few years. In this study, we report on the high-resolution gravity measurements from the GraviMob system mounted on an Autonomous Underwater Vehicle, which can measure at depths of up to several kilometres. The dedicated GraviMob underwater gravity measurements were conducted in the Mediterranean Sea in March 2016, with a total of 26 underwater measurement profiles. All these measurement profiles were processed and validated. In a first step, the GraviMob gravity measurements were corrected for temperature based on a linear relationship between temperature and gravity differences. Through repeated profiles, we acquired GraviMob gravity measurements with an estimated error varying from 0.8 to 2.6 mGal with standard deviation after applying the proposed temperature correction. In a second step, the shipborne gravity data were downward continued to the measurement depth to validate the GraviMob measurements. Comparisons between the corrected GraviMob gravity anomalies and downward continued surface shipborne gravity data revealed a standard deviation varying from 0.8 to 3.2 mGal and a mean bias value varying from −0.6 to 0.6 mGal. These results highlight the great potential of the GraviMob system in measuring underwater gravity.
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spelling doaj.art-116dfa56e977456b92c464feca52190b2024-02-09T15:21:10ZengMDPI AGRemote Sensing2072-42922024-01-0116346110.3390/rs16030461High-Resolution Gravity Measurements on Board an Autonomous Underwater Vehicle: Data Reduction and Accuracy AssessmentDinh Toan Vu0Jérôme Verdun1José Cali2Marcia Maia3Charles Poitou4Jérôme Ammann5Clément Roussel6Jean-François D’Eu7Marie-Édith Bouhier8Geo-Ocean, UMR 6538 CNRS-IFREMER-UBO-UBS, IUEM, University of Brest, 29280 Plouzané, FranceLaboratoire Géomatique et Foncier (GeF) UR 4630, Conservatoire National des Arts et Métiers (Cnam), HESAM Université, École Supérieure d’Ingénieurs Géomètres Topographes (ESGT), 1 Boulevard Pythagore, 72000 Le Mans, FranceLaboratoire Géomatique et Foncier (GeF) UR 4630, Conservatoire National des Arts et Métiers (Cnam), HESAM Université, École Supérieure d’Ingénieurs Géomètres Topographes (ESGT), 1 Boulevard Pythagore, 72000 Le Mans, FranceGeo-Ocean, UMR 6538 CNRS-IFREMER-UBO-UBS, IUEM, University of Brest, 29280 Plouzané, FranceGeo-Ocean, UMR 6538 CNRS-IFREMER-UBO-UBS, IUEM, University of Brest, 29280 Plouzané, FranceGeo-Ocean, UMR 6538 CNRS-IFREMER-UBO-UBS, IUEM, University of Brest, 29280 Plouzané, FranceLaboratoire Géomatique et Foncier (GeF) UR 4630, Conservatoire National des Arts et Métiers (Cnam), HESAM Université, École Supérieure d’Ingénieurs Géomètres Topographes (ESGT), 1 Boulevard Pythagore, 72000 Le Mans, FranceMappem Geophysics, Bâtiment Tech-Iroise, 1 rue des Ateliers, Zone de Mespaol, 29290 Saint-Renan, FranceService Positionnement, Robotique, Acoustique et Optique (PDG-DFO-SM-PRAO), IFREMER Centre Méditerranée, Zone Portuaire de Brégaillon, CEDEX CS20 330, 83507 La Seyne-sur-Mer, FranceGravity on Earth is of great interest in geodesy, geophysics, and natural resource exploration. Ship-based gravimeters are a widely used instrument for the collection of surface gravity field data in marine regions. However, due to the considerable distance from the sea surface to the seafloor, the spatial resolution of surface gravity data collected from ships is often insufficient to image the detail of seafloor geological structures and to explore offshore natural minerals. Therefore, the development of a mobile underwater gravimetry system is necessary. The GraviMob gravimeter, developed for a moving underwater platform by Geo-Ocean (UMR 6538 CNRS-Ifremer-UBO-UBS), GeF (UR4630, Cnam) and MAPPEM Geophysics, has been tested over the last few years. In this study, we report on the high-resolution gravity measurements from the GraviMob system mounted on an Autonomous Underwater Vehicle, which can measure at depths of up to several kilometres. The dedicated GraviMob underwater gravity measurements were conducted in the Mediterranean Sea in March 2016, with a total of 26 underwater measurement profiles. All these measurement profiles were processed and validated. In a first step, the GraviMob gravity measurements were corrected for temperature based on a linear relationship between temperature and gravity differences. Through repeated profiles, we acquired GraviMob gravity measurements with an estimated error varying from 0.8 to 2.6 mGal with standard deviation after applying the proposed temperature correction. In a second step, the shipborne gravity data were downward continued to the measurement depth to validate the GraviMob measurements. Comparisons between the corrected GraviMob gravity anomalies and downward continued surface shipborne gravity data revealed a standard deviation varying from 0.8 to 3.2 mGal and a mean bias value varying from −0.6 to 0.6 mGal. These results highlight the great potential of the GraviMob system in measuring underwater gravity.https://www.mdpi.com/2072-4292/16/3/461underwater gravimeterunderwater gravimetrydownward continuationtemperature correctiontemperature stabilisationKalman filter
spellingShingle Dinh Toan Vu
Jérôme Verdun
José Cali
Marcia Maia
Charles Poitou
Jérôme Ammann
Clément Roussel
Jean-François D’Eu
Marie-Édith Bouhier
High-Resolution Gravity Measurements on Board an Autonomous Underwater Vehicle: Data Reduction and Accuracy Assessment
Remote Sensing
underwater gravimeter
underwater gravimetry
downward continuation
temperature correction
temperature stabilisation
Kalman filter
title High-Resolution Gravity Measurements on Board an Autonomous Underwater Vehicle: Data Reduction and Accuracy Assessment
title_full High-Resolution Gravity Measurements on Board an Autonomous Underwater Vehicle: Data Reduction and Accuracy Assessment
title_fullStr High-Resolution Gravity Measurements on Board an Autonomous Underwater Vehicle: Data Reduction and Accuracy Assessment
title_full_unstemmed High-Resolution Gravity Measurements on Board an Autonomous Underwater Vehicle: Data Reduction and Accuracy Assessment
title_short High-Resolution Gravity Measurements on Board an Autonomous Underwater Vehicle: Data Reduction and Accuracy Assessment
title_sort high resolution gravity measurements on board an autonomous underwater vehicle data reduction and accuracy assessment
topic underwater gravimeter
underwater gravimetry
downward continuation
temperature correction
temperature stabilisation
Kalman filter
url https://www.mdpi.com/2072-4292/16/3/461
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