Print Email Facebook Twitter Advancing river monitoring using image-based techniques Title Advancing river monitoring using image-based techniques: challenges and opportunities Author Manfreda, Salvatore (Università degli Studi di Napoli Federico II) Miglino, Domenico (Università degli Studi di Napoli Federico II) Saddi, Khim Cathleen (Università degli Studi di Napoli Federico II; Istituto Universitario di Studi Superiori; Ateneo de Naga University) Jomaa, Seifeddine (Helmholtz Centre for Environmental Research - UFZ) Eltner, Anette (Technische Universität Dresden) Perks, Matthew (Newcastle University) Peña-Haro, Salvador (Photrack AG) Bogaard, T.A. (TU Delft Water Resources) van Emmerik, Tim H.M. (Wageningen University & Research) Date 2024 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. Subject artificial intelligencecitizen scienceimage-based techniquesremote sensingriver monitoringwater quality To reference this document use: http://resolver.tudelft.nl/uuid:d407a2d8-7190-4caf-8cdc-e4f71e5d0ad5 DOI https://doi.org/10.1080/02626667.2024.2333846 ISSN 0262-6667 Source Hydrological Sciences Journal, 69 (6), 657-677 Part of collection Institutional Repository Document type journal article Rights © 2024 Salvatore Manfreda, Domenico Miglino, Khim Cathleen Saddi, Seifeddine Jomaa, Anette Eltner, Matthew Perks, Salvador Peña-Haro, T.A. Bogaard, Tim H.M. van Emmerik, More Authors Files PDF Advancing_river_monitorin ... nities.pdf 12.88 MB Close viewer /islandora/object/uuid:d407a2d8-7190-4caf-8cdc-e4f71e5d0ad5/datastream/OBJ/view