0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Marine & Wildlife Sign in to save

Proof of concept for a new sensor to monitor marine litter from space

Nature Communications 2024 40 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 60 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Giuseppe Suaria, Carmen Morales‐Caselles, Daniel González‐Fernández, Daniel González‐Fernández, Daniel González‐Fernández, Stefano Aliani, Daniel González‐Fernández, Carmen Morales‐Caselles, Stefano Aliani, Daniel González‐Fernández, Stefano Aliani, Daniel González‐Fernández, Robin de Vries, Robin de Vries, Andrés Cózar, Andrés Cózar, Andrés Cózar, Andrés Cózar, Giuseppe Suaria, Giuseppe Suaria, Giuseppe Suaria, Giuseppe Suaria, Giuseppe Suaria, Giuseppe Suaria, Giuseppe Suaria, Giuseppe Suaria, Giuseppe Suaria, Giuseppe Suaria, Giuseppe Suaria, Giuseppe Suaria, Giuseppe Suaria, Giuseppe Suaria, Giuseppe Suaria, Manuel Arias Giuseppe Suaria, Giuseppe Suaria, Giuseppe Suaria, Giuseppe Suaria, Giuseppe Suaria, Stefano Aliani, Stefano Aliani, Stefano Aliani, Daniel González‐Fernández, Daniel González‐Fernández, Carmen Morales‐Caselles, Carmen Morales‐Caselles, Daniel González‐Fernández, Daniel González‐Fernández, Daniel González‐Fernández, Daniel González‐Fernández, Daniel González‐Fernández, Daniel González‐Fernández, Paolo Corradi, Paolo Corradi, Andrés Cózar, Giuseppe Suaria, Josué Viejo, Manuel Arias Carmen Morales‐Caselles, Daniel González‐Fernández, Carmen Morales‐Caselles, Daniel González‐Fernández, Daniel González‐Fernández, Daniel González‐Fernández, Daniel González‐Fernández, Daniel González‐Fernández, Daniel González‐Fernández, Stefano Aliani, Stefano Aliani, Giuseppe Suaria, Giuseppe Suaria, Diego Macías, Andrés Cózar, Andrés Cózar, Manuel Arias Paolo Corradi, Paolo Corradi, Paolo Corradi, Paolo Corradi, Andrés Cózar, Andrés Cózar, Andrés Cózar, Paolo Corradi, Giuseppe Suaria, Andrés Cózar, Daniel González‐Fernández, Daniel González‐Fernández, Stefano Aliani, Giuseppe Suaria, Josué Viejo, Giuseppe Suaria, Josué Viejo, Stefano Aliani, Manuel Arias Stefano Aliani, Daniel González‐Fernández, Stefano Aliani, Andrés Cózar, Giuseppe Suaria, Paolo Corradi, Giuseppe Suaria, Daniel González‐Fernández, Stefano Aliani, Andrés Cózar, Manuel Arias Stefano Aliani, Stefano Aliani, Stefano Aliani, Stefano Aliani, Andrés Cózar, Daniel González‐Fernández, Robin de Vries, Robin de Vries, Daniel González‐Fernández, Stefano Aliani, Daniel González‐Fernández, Stefano Aliani, Manuel Arias Carmen Morales‐Caselles, Andrés Cózar, Stefano Aliani, Andrés Cózar, Andrés Cózar, Giuseppe Suaria, Carmen Morales‐Caselles, Aristeidis Koutroulis, Andrés Cózar, Andrés Cózar, Diego Macías, Stefano Aliani, Paolo Corradi, Andrés Cózar, Paolo Corradi, James Delaney, Guillaume Bonnery, Giuseppe Suaria, Stefano Aliani, Carmen Morales‐Caselles, Stefano Aliani, Daniel González‐Fernández, Carmen Morales‐Caselles, Giuseppe Suaria, Antonio Turiel, Andrés Cózar, Guillaume Bonnery, James Delaney, Carmen Morales‐Caselles, Guillaume Bonnery, Stefano Aliani, Daniel González‐Fernández, Stefano Aliani, Stefano Aliani, Stefano Aliani, Andrés Cózar, Guillaume Bonnery, Andrés Cózar, Stefano Aliani, Diego Macías, Stefano Aliani, Carmen Morales‐Caselles, Andrés Cózar, Giuseppe Suaria, Giuseppe Suaria, Robin de Vries, Stefano Aliani, Stefano Aliani, Paolo Corradi, Paolo Corradi, Romain Sumerot, Stefano Aliani, Stefano Aliani, Romain Sumerot, Stefano Aliani, Stefano Aliani, Carmen Morales‐Caselles, Antonio Turiel, Daniel González‐Fernández, Giuseppe Suaria, Giuseppe Suaria, Paolo Corradi, Giuseppe Suaria, Giuseppe Suaria, Paolo Corradi, Stefano Aliani, Stefano Aliani, Giuseppe Suaria, Giuseppe Suaria, Andrés Cózar, Stefano Aliani, Manuel Arias

Summary

Researchers analyzed 300,000 satellite images of the Mediterranean Sea to track floating marine litter over time, finding that heavy rainfall events drive most litter inputs from land while coastal currents and wind determine how it spreads. The study demonstrates that satellites can reliably map pollution hotspots and detect seasonal trends, making space-based monitoring a practical new tool for managing ocean plastic pollution.

Worldwide, governments are implementing strategies to combat marine litter. However, their effectiveness is largely unknown because we lack tools to systematically monitor marine litter over broad spatio-temporal scales. Metre-sized aggregations of floating debris generated by sea-surface convergence lines have been reported as a reliable target for detection from satellites. Yet, the usefulness of such ephemeral, scattered aggregations as proxy for sustained, large-scale monitoring of marine litter remains an open question for a dedicated Earth-Observation mission. Here, we track this proxy over a series of 300,000 satellite images of the entire Mediterranean Sea. The proxy is mainly related to recent inputs from land-based litter sources. Despite the limitations of in-orbit technology, satellite detections are sufficient to map hot-spots and capture trends, providing an unprecedented source-to-sink view of the marine litter phenomenon. Torrential rains largely control marine litter inputs, while coastal boundary currents and wind-driven surface sweep arise as key drivers for its distribution over the ocean. Satellite-based monitoring proves to be a real game changer for marine litter research and management. Furthermore, the development of an ad-hoc sensor can lower the minimum detectable concentration by one order of magnitude, ensuring operational monitoring, at least for seasonal-to-interannual variability in the mesoscale.

Sign in to start a discussion.

Share this paper