The Advantages of Landsat 8-OLI-Derived Suspended Particulate Matter Maps for Monitoring the Subtidal Extension of Amazonian Coastal Mud Banks (French Guiana)

The coast of French Guiana is characterised by the northwestward migration of large mud banks alongshore and by high concentrations of suspended particulate matter (SPM) resulting from the strong influence of the Amazon River outflow. Surface OLI SPM concentration, linked to the footprint of the sub...

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Main Authors: Noelia Abascal Zorrilla, Vincent Vantrepotte, Erwan Gensac, Nicolas Huybrechts, Antoine Gardel
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/10/11/1733
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author Noelia Abascal Zorrilla
Vincent Vantrepotte
Erwan Gensac
Nicolas Huybrechts
Antoine Gardel
author_facet Noelia Abascal Zorrilla
Vincent Vantrepotte
Erwan Gensac
Nicolas Huybrechts
Antoine Gardel
author_sort Noelia Abascal Zorrilla
collection DOAJ
description The coast of French Guiana is characterised by the northwestward migration of large mud banks alongshore and by high concentrations of suspended particulate matter (SPM) resulting from the strong influence of the Amazon River outflow. Surface OLI SPM concentration, linked to the footprint of the subtidal part of mud banks due to resuspension and migration processes, was used to develop a method to estimate the location of this footprint. A comparison of the results from this method with those obtained by locating the limit of the wave damping, which characterises muddy coasts, revealed good performance of the method based on recurring SPM values. The migration rates of the mud banks in French Guiana were calculated according to the delimitation of their subtidal parts, and showed slightly higher values (2.31 km/year) than suggested by earlier studies. In comparison with other methods, the migration rate estimated using the method proposed within the framework of this study takes into account the variability of the shape of the subtidal part for the first time. It was also shown that the mud banks existing on the coastal area of French Guiana present two different shapes. Our results clearly demonstrate the advantage of ocean colour data to describe mud banks according to their subtidal part, delimited using the assessment of SPM temporal variability.
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spelling doaj.art-7b9394df308546b185392312be682ac82022-12-21T19:41:41ZengMDPI AGRemote Sensing2072-42922018-11-011011173310.3390/rs10111733rs10111733The Advantages of Landsat 8-OLI-Derived Suspended Particulate Matter Maps for Monitoring the Subtidal Extension of Amazonian Coastal Mud Banks (French Guiana)Noelia Abascal Zorrilla0Vincent Vantrepotte1Erwan Gensac2Nicolas Huybrechts3Antoine Gardel4Centre National de La Recherche Scientifique—CNRS, USR3456, 97334 Cayenne, French Guiana, FranceCentre National de La Recherche Scientifique—CNRS, USR3456, 97334 Cayenne, French Guiana, FranceLaboratoire Géosciences Océan UMR 6538, Université Bretagne Sud, rue André Lwoff, 56000 Vannes, FranceCerema Eau Mer Fleuve, 134 rue de Beauvais, 60280 Margny Les Compiègne, FranceCentre National de La Recherche Scientifique—CNRS, USR3456, 97334 Cayenne, French Guiana, FranceThe coast of French Guiana is characterised by the northwestward migration of large mud banks alongshore and by high concentrations of suspended particulate matter (SPM) resulting from the strong influence of the Amazon River outflow. Surface OLI SPM concentration, linked to the footprint of the subtidal part of mud banks due to resuspension and migration processes, was used to develop a method to estimate the location of this footprint. A comparison of the results from this method with those obtained by locating the limit of the wave damping, which characterises muddy coasts, revealed good performance of the method based on recurring SPM values. The migration rates of the mud banks in French Guiana were calculated according to the delimitation of their subtidal parts, and showed slightly higher values (2.31 km/year) than suggested by earlier studies. In comparison with other methods, the migration rate estimated using the method proposed within the framework of this study takes into account the variability of the shape of the subtidal part for the first time. It was also shown that the mud banks existing on the coastal area of French Guiana present two different shapes. Our results clearly demonstrate the advantage of ocean colour data to describe mud banks according to their subtidal part, delimited using the assessment of SPM temporal variability.https://www.mdpi.com/2072-4292/10/11/1733Keywords: suspended mattermud banksocean colourLandsat 8French Guiana
spellingShingle Noelia Abascal Zorrilla
Vincent Vantrepotte
Erwan Gensac
Nicolas Huybrechts
Antoine Gardel
The Advantages of Landsat 8-OLI-Derived Suspended Particulate Matter Maps for Monitoring the Subtidal Extension of Amazonian Coastal Mud Banks (French Guiana)
Remote Sensing
Keywords: suspended matter
mud banks
ocean colour
Landsat 8
French Guiana
title The Advantages of Landsat 8-OLI-Derived Suspended Particulate Matter Maps for Monitoring the Subtidal Extension of Amazonian Coastal Mud Banks (French Guiana)
title_full The Advantages of Landsat 8-OLI-Derived Suspended Particulate Matter Maps for Monitoring the Subtidal Extension of Amazonian Coastal Mud Banks (French Guiana)
title_fullStr The Advantages of Landsat 8-OLI-Derived Suspended Particulate Matter Maps for Monitoring the Subtidal Extension of Amazonian Coastal Mud Banks (French Guiana)
title_full_unstemmed The Advantages of Landsat 8-OLI-Derived Suspended Particulate Matter Maps for Monitoring the Subtidal Extension of Amazonian Coastal Mud Banks (French Guiana)
title_short The Advantages of Landsat 8-OLI-Derived Suspended Particulate Matter Maps for Monitoring the Subtidal Extension of Amazonian Coastal Mud Banks (French Guiana)
title_sort advantages of landsat 8 oli derived suspended particulate matter maps for monitoring the subtidal extension of amazonian coastal mud banks french guiana
topic Keywords: suspended matter
mud banks
ocean colour
Landsat 8
French Guiana
url https://www.mdpi.com/2072-4292/10/11/1733
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