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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. Policy & Risk Sign in to save

Advancing hydrological monitoring using image-based techniques: challenges and opportunities

2023 2 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 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, Seifeddine Jomaa, Seifeddine Jomaa, Tim van Emmerik, Tim van Emmerik, Tim van Emmerik, Tim van Emmerik, Tim van Emmerik, Anette Etner, Tim van Emmerik, Thom Bogaard, Thom Bogaard, Thom Bogaard, Tim van Emmerik, Anette Etner, Tim van Emmerik, Tim van Emmerik, Tim van Emmerik, Tim van Emmerik, Tim van Emmerik, Matthew Perks, Matthew Perks, 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, Salvador Peña‐Haro, Tim van Emmerik, Tim van Emmerik, Salvador Peña‐Haro, 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, Tim van Emmerik, Yijian Zeng, Yijian Zeng, Tim van Emmerik, Gil Gonçalves, Gil Gonçalves, Tim van Emmerik, Dariia Strelnikova, Tim van Emmerik, Tim van Emmerik, Dariia Strelnikova, 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 paper is not about microplastics — it reviews image-based techniques (including remote sensing and computer vision) for hydrological monitoring of water bodies, discussing challenges and opportunities in measuring water flow, flood events, and water quality.

Enhanced and effective hydrological monitoring plays a crucial role in understanding water-related processes in a rapidly changing world. This paper explores the challenges and opportunities associated with image-based hydrological monitoring techniques, and highlights the need for innovative approaches and technologies to overcome existing limitations. Image-based hydrological 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 the powers of big data analytics, and artificial intelligence are revolutionizing hydrological monitoring practices. By addressing these challenges and harnessing their potential, hydrological monitoring can evolve to meet the growing demands of water resources in order to face climate change and human needs. The present study reviews showcases and good practices of enhanced hydrological monitoring in different applications, reflecting the strengths and limitations of new approaches.

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