Article
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Tier 2
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Original research — experimental, observational, or case-control study. Direct primary evidence.
Environmental Sources
Policy & Risk
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Advancing river monitoring using image-based techniques: challenges and opportunities
Hydrological Sciences Journal2024
42 citations
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Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Score: 60
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0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Gil Gonçalves,
Salvatore Manfreda,
Salvatore Manfreda,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Domenico Miglino,
Domenico Miglino,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Khim Cathleen Saddi,
Khim Cathleen Saddi,
Thom Bogaard,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Seifeddine Jomaa,
Tim van Emmerik,
Tim van Emmerik,
Seifeddine Jomaa,
Tim van Emmerik,
Tim van Emmerik,
Thom Bogaard,
Thom Bogaard,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Thom Bogaard,
Anette Eltner,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Matthew Perks,
Matthew Perks,
Tim van Emmerik,
Salvador Peña‐Haro,
Salvador Peña‐Haro,
Tim van Emmerik,
Tim van Emmerik,
Thom Bogaard,
Thom Bogaard,
Tim van Emmerik,
Tim van Emmerik,
Tim van Emmerik,
Stefano Mariani,
Stefano Mariani,
Ian Maddock,
Ian Maddock,
Flavia Tauro,
Flavia Tauro,
Salvatore Grimaldi,
Salvatore Grimaldi,
Yijian Zeng,
Tim van Emmerik,
Yijian Zeng,
Gil Gonçalves,
Tim van Emmerik,
Tim van Emmerik,
Gil Gonçalves,
Tim van Emmerik,
Dariia Strelnikova,
Dariia Strelnikova,
Tim van Emmerik,
M. Bussettini,
M. Bussettini,
Giulia Marchetti,
Giulia Marchetti,
B. Lastoria,
B. Lastoria,
B. Lastoria,
B. Lastoria,
Zhongbo Su,
Zhongbo Su,
Michael Rode
Tim van Emmerik,
Michael Rode
Summary
This review examines advances in using cameras, remote sensing, and artificial intelligence to monitor rivers, covering applications from flood tracking to water quality assessment. While not focused on microplastics directly, these image-based monitoring tools could be adapted to detect and track visible plastic pollution in waterways. Improved river monitoring technology is an important step toward understanding and reducing the sources of microplastic contamination in freshwater systems.
Study Type
Environmental
Enhanced and effective hydrological monitoring plays a crucial role in understanding water-related processes in a rapidly changing world. Within this context, image-based river monitoring has shown to significantly enhance data collection, improve analysis and accuracy, and support effective and timely decision-making. The integration of remote and proximal sensing technologies, with citizen science, and artificial intelligence may revolutionize monitoring practices. Therefore, it is crucial to quantify the quality of current research and ongoing initiatives to envision the potential trajectories for research activities within this specific field. The evolution of monitoring strategies is progressing in multiple directions that should converge to build critical mass around relevant challenges to meet the need for innovative solutions to overcome limitations of traditional approaches. The present study reviews showcases and good practices of enhanced hydrological monitoring in different applications, reflecting the strengths and limitations of new approaches.