Advancing river monitoring using image-based techniques
challenges and opportunities
Salvatore Manfreda (Università degli Studi di Napoli Federico II)
Domenico Miglino (Università degli Studi di Napoli Federico II)
Khim Cathleen Saddi (Ateneo de Naga University, Università degli Studi di Napoli Federico II, Istituto Universitario di Studi Superiori)
Seifeddine Jomaa (Helmholtz Centre for Environmental Research - UFZ)
Anette Eltner (Technische Universität Dresden)
Matthew Perks (Newcastle University)
Salvador Peña-Haro (Photrack AG)
Thom Bogaard (TU Delft - Water Resources)
Tim H.M. van Emmerik (Wageningen University & Research)
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Abstract
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 been 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 evaluate 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 a critical mass around relevant challenges to find innovative solutions that overcome limitations of traditional approaches. The present study reviews examples and good practices of enhanced hydrological monitoring in different applications, reflecting on the strengths and limitations of new approaches.
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