Advancing Marine Debris Monitoring through Artificial Intelligence and Remote Sensing: A Systematic Review for Environmental Education and Sustainable Development Goals (SDGs) Integration

R. Wisnu Adjie Pramudito, D. N. Martono, S. Wahyono

Abstract


This systematic review investigates how artificial intelligence and remote sensing technologies contribute to advancing marine debris monitoring in support of environmental education and sustainable development goals. A structured literature review was conducted on selected studies published between 2019 and early 2025, focusing on the integration of deep learning and various remote sensing platforms, including satellite imagery and unmanned aerial systems. The findings demonstrate that AI-enabled systems enhance detection accuracy and monitoring scalability. This improvement matters because conventional methods are limited in spatial coverage, frequency, and reliability. The review identifies persistent barriers, such as insufficient ground truth data and the inability of models to generalize across regions. These challenges highlight the need for educational programs that strengthen data literacy, cross-disciplinary collaboration, and environmentally conscious digital practices. The study provides actionable insights for educators, researchers, and policymakers, offering a technological foundation to promote sustainability learning and informed decision-making in response to global marine plastic pollution.


Keywords


Artificial Intelligence (AI); Marine debris monitoring; Remote sensing; Systematic review

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References


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DOI: https://doi.org/10.17509/ijert.v5i3.87997

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