Measuring marine plastic debris from space: Initial assessment of observation requirements

Victor Martinez-Vicente, James R. Clark, Paolo Corradi, Stefano Aliani, Manuel Arias, Mathias Bochow, Guillaume Bonnery, Matthew Cole, Andrés Cózar, Rory Donnelly, Fidel Echevarría, Francois Galgani, Shungudzemwoyo P. Garaba, Lonneke Goddijn-Murphy, Laurent Lebreton, Heather A. Leslie, Penelope K. Lindeque, Nikolai Maximenko, François-Régis Martin-Lauzer, Delwyn Moller Peter Murphy, Lorenzo Palombi , Valentina Raimondi, Julia Reisser, Laia Romero, Stefan G.H. Simis, Sindy Sterckx, Richard C. Thompson, Konstantinos N. Topouzelis, Erik van Sebille, Joana Mira Veiga, Dick Vethaak

Research output: Contribution to journalArticlepeer-review

104 Citations (Scopus)
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Sustained observations are required to determine the marine plastic debris mass balance and to support effective policy for planning remedial action. However, observations currently remain scarce at the global scale. A satellite remote sensing system could make a substantial contribution to tackling this problem. Here, we make initial steps towards the potential design of such a remote
sensing system by: (1) identifying the properties of marine plastic debris amenable to remote sensing methods and (2) highlighting the oceanic processes relevant to scientific questions about marine plastic debris. Remote sensing approaches are reviewed and matched to the optical properties of marine plastic debris and the relevant spatio-temporal scales of observation to identify challenges and opportunities in the field. Finally, steps needed to develop marine plastic debris detection by remote sensing platforms are proposed in terms of fundamental science as well as linkages to ongoing planning for satellite systems with similar observation requirements.
Original languageEnglish
Article number2443
Pages (from-to)1-20
Number of pages20
JournalRemote Sensing
Issue number20
Publication statusPublished - 21 Oct 2019


  • remote sensing
  • marine plastic debris
  • mission requirements
  • hyperspectral sensors
  • multispectral imagers
  • high spatial resolution
  • sensors synergy
  • submesoscale processes


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