Efficient point-to-point navigation in the presence of a background flow field is important for
robotic applications such as ocean surveying. In such applications, robots may only have …

To characterize the spatial variability of metabolism estimates (gross primary production
[GPP], respiration [R], and net ecosystem production [NEP]) in two Northern Wisconsin lakes …

Wireless sensor networks (WSNs) offer a powerful feasible integration of distributed sensing
capability, real-time data analysis, and remote surveillance due to the combined result of …

This article presents a novel autonomous surface vessel (ASV) that was designed and
manufactured specifically for the monitoring of water resources, resources that are not only …

Autonomous surface and underwater vehicles (ASVs and AUVs) used for ocean monitoring
are typically deployed for long periods of time and must operate with limited energy budgets …

Autonomous surface and underwater vehicles (ASVs and AUVs) are increasingly being
used for persistent monitoring of ocean phenomena. Typically, these vehicles are deployed …

Recent advances in deep learning have made it possible to use neural networks for the
detection and classification of oceanic mesoscale eddies from satellite altimetry data …

Plant phenology relates strongly to primary productivity and the energy that enters into
ecological food webs, and thus is vital in understanding ecosystem function and the effects …

The use of high-frequency sensors on profiling buoys to investigate physical, chemical, and
biological processes in lakes is increasing rapidly. Profiling buoys with automated winches …

This issue is devoted to recent developments of autonomous and Lagrangian platforms and
sensors (ALPS) and their uses for solving a broad range of interdisciplinary aquatic …