Results 161 to 170 of about 5,631 (303)

A Method for Identifying Rainfall‐Runoff Events at Sub‐Hourly Time Scales: Applications for Nature‐Based Solutions and Water Resources

River Research and Applications, EarlyView.
ABSTRACT Understanding how changes in catchment conditions affect ecohydrology in response to rainfall‐runoff events is crucial when developing informed strategies to enhance flow resilience, restore natural habitats, interpret water quality data or reduce flood risk.
Josie Ashe, Daniella Montali‐Ashworth, Alan Puttock, Naomi Gatis, David Luscombe, Kirsty Frith, Pia Benaud, Richard E. Brazier   +7 more
wiley   +1 more source

Detection of submarine pipeline and cable targets based on depth feature of high resolution sonar image. [PDF]

PLoS One
Liu D, Jin Z, Chen J, Xu Z.
europepmc   +1 more source

A Multi‐Method Approach to Assessing Barrier Effectiveness in Preventing the Spread of Invasive Signal Crayfish (Pacifastacus leniusculus)

River Research and Applications, EarlyView.
ABSTRACT Relieving barriers and increasing free flowing rivers is a global imperative to restore habitat connectivity for migratory fish stocks. While reducing river fragmentation will certainly improve biodiversity, the spread of non‐native species throughout a river system may be facilitated as an inadvertent outcome.
Matthew Harwood, Andrew W. Bray, Karis A. Woolfenden, Paul D. Stebbing, Alison M. Dunn, Josie South   +5 more
wiley   +1 more source

Development of a tendon-driven serial manipulator for an aquatic autonomous surface vehicle. [PDF]

Front Robot AI
Khalifa A, Groves K, Carrasco J.
europepmc   +1 more source

Automated object detection based on YOLOv11 for monitoring benthic population dynamics: A new approach combining photogrammetry and open‐source GIS tools applied to sea cucumbers

Remote Sensing in Ecology and Conservation, EarlyView.
This research established a new object detection model based on YOLOv11 to recognise benthic organisms, specifically sea cucumbers, by utilising high‐resolution photogrammetric‐based orthomosaics acquired along infralittoral Mediterranean Sea beds. The model demonstrated impressive performance metrics and, when combined with the Deepness plugin for the
Gian Mario Sangiovanni, Giovanna Jona Lasinio, Daniele Poggio, Gianluca Mastrantonio, Alessio Pollice, Arnold Rakaj, Midhun Mohan, Stefano Moro, Edoardo Casoli, Daniele Ventura   +9 more
wiley   +1 more source

Enabling scalable inspection of offshore mooring systems using cost-effective autonomous underwater drones. [PDF]

Front Robot AI
Nguyen DT, Elseth CL, Øvstaas JR, Arntzen N, Hamre G, Lillestøl DB.   +5 more
europepmc   +1 more source

Evaluating land–sea linkages using land cover change and coral reef monitoring data: A case study from northeastern Puerto Rico

Remote Sensing in Ecology and Conservation, EarlyView.
Land cover change that leads to increased nutrient and sediment runoff is an important driver of change in coral reef ecosystems. In this study, we combined satellite remote sensing and field monitoring to assess concomitant changes in watershed land cover and coral cover in northeastern Puerto Rico in 2000–2015.
Pirta Palola, Sasha Hills, Simon J. Pittman, Edwin A. Hernández‐Delgado, Antoine Collin, Lisa M. Wedding   +5 more
wiley   +1 more source

Editorial: Autonomous robotic systems in aquaculture: research challenges and industry needs. [PDF]

Front Robot AI
Kelasidi E, Triantafyllou M, Ohrem SJ.
europepmc   +1 more source

Multi‐Platform Deployments of Low‐Cost Devices for Cetacean Passive Acoustic Monitoring

Remote Sensing in Ecology and Conservation, EarlyView.
Recent advances in affordable, user‐friendly devices offer new opportunities to overcome cost constraints of underwater passive acoustic monitoring (PAM) and expand acoustic data collection. In this study, we deployed low‐cost acoustic recorders and underwater cameras across a range of platforms in the Western Mediterranean, including fishing gear ...
Greta Jankauskaite, François Poisson, Irati Abascal, Javier Menéndez‐Blázquez, Clara Cánovas Pérez, Sofia Conti, Ricardo Sagarminaga, Juan Antonio Raga, David March   +8 more
wiley   +1 more source

Deep Reinforcement Learning for Autonomous Underwater Navigation: A Comparative Study with DWA and Digital Twin Validation. [PDF]

Sensors (Basel)
Mari Z, Nawaf MM, Drap P.
europepmc   +1 more source