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Synergy Between Hyperspectral (HYSPEX), Multispectral (SPOT 6/7, Sentinel-2) Remotely Sensed Data and LiDAR Data for Mapping the Authie Estuary (France)

  • Charles VerpoorterEmail author
  • Benoit Menuge
  • Patrick Launeau
  • Vona Méléder
  • Arnaud Héquette
  • Adrien Cartier
  • Vincent Sipka
Conference paper
  • 59 Downloads
Part of the Springer Water book series (SPWA)

Abstract

The Authie estuary, located at the eastern part of the English Channel is of environmental, ecological, economic and societal importance. With the intention to better understand the sediment dynamic it is important to better assess the role of sediment dynamics including erosion, stabilization and sediment reworking processes which is challenging in such complex environment. It is also important to consider biogenic components such as the microphytobenthos (MPB) distribution, as the primary productivity may play an important role with the bio-stabilization process. As a consequence, there is a crucial need to provide a synoptic overview of inherent bio-physical characteristics of sediments (i.e., composition, water content, grain-size, and biomass) in estuarine environment by generating precise quantitative maps for predicting in a second step estuarine evolution by including sediment transport, sedimentation rates, coastal flows processes and sea level rise caused by climate change for instance. The use of the remote sensing technology is increasingly used for mapping estuarine and coastal environments by providing a synoptic overview of bio-physical characteristics of sediments. In that sense, the combination between remote sensing imaging, topographic data (LiDAR) and in situ measurements is suitable for improving our understanding of sediment dynamics with respect to physical and biological forcings. The main objective of this study is to demonstrate that the synergy between multispectral (i.e., SPOT 6–7 [1.5 m/pixel]; Sentinel-2, 10–60 m/pixel, 5–10 days)”, hyperspectral [Hyspex, 70 cm/pixel, 160 spectral bands] remote sensing images may be suitable for generating both reliable sedimentary and primary productivity budgets; at least for surficial sediments. All presented data were acquired during the same day (09/21/2017) in the framework TéléEST, CPER MARCO and CNRS-OMPBI projects.

Keywords

Remote sensing Hyperspectral Multispectral LiDAR Physical properties mapping Morphology Bay of authie 

Notes

Acknowledgements

We would like to thank the CPER-MARCO and the BQR-ULCO-TéléEST for their funding supports allowing some of the field investigations within the Bay of Authie.

Some of the image computations were performed on resources provided by the SCOSI/ULCO (Service Commun du Système d’Information de l’Université du Littoral Côte d’Opale) Infrastructure for Computing through CALCULCO platform under the TéléEST project.

This work was supported by public funds received in the framework of GEOSUD, a project (ANR-10-EQPX-20) of the program “Investissements d’Avenir” managed by the French National Research Agency which allow us to collect SPOT 6/7 images.

Hyperspectral and 2016 LiDAR data were acquired in the frame of the Défi Littoral 2016 de la Mission pour l’interdisciplinarité du CNRS. The 2013 LiDAR data were obtained through the interregional program CLAREC funded by the Regional Councils of Normandy, Picardie and Nord-Pas de Calais and by the French Centre National de la Recherche Scientifique (CNRS).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Charles Verpoorter
    • 1
    Email author
  • Benoit Menuge
    • 1
  • Patrick Launeau
    • 2
  • Vona Méléder
    • 3
  • Arnaud Héquette
    • 1
  • Adrien Cartier
    • 1
    • 4
  • Vincent Sipka
    • 1
  1. 1.LOG, Laboratoire D’Océanologie et de GéosciencesUniv. Littoral Côte D’Opale, Univ. Lille, CNRS, UMR 8187WimereuxFrance
  2. 2.Université de Nantes, UMR 6112 CNRS, Laboratoire de Planétologie et Géodynamique de Nantes, 2 Chemin de La HoussinièreNantesFrance
  3. 3.Université de Nantes, EA 2160 MMS, Laboratoire Mer Molécule Santé de Nantes, 2 Chemin de La HoussinièreNantesFrance
  4. 4.GéodunesDunkirkFrance

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