Autonomous Sensor Networks for Water Quality and Biodiversity Assessment

submitted by: kkwaiser
Many marine and freshwater water environments are too large and dynamic for efficient and cost effective data collection by sensor networks or robotic systems alone. Wireless surface and underwater sensor networks allow large-scale data collection although at a generally lower spatial resolution. Autonomous Underwater Vehicles (AUVs) and Autonomous Surface Vehicles (ASVs) offer continuous data collection capabilities at a more localised (transect) scale. A method for improving capture of...

Introduction to High Throughput Computing

submitted by: kkwaiser
The large data volumes and complex models used today in environmental research and management can push even modern computers to their limits. This session will introduce you to the power of distributed computing. We'll learn about what distributed computing systems do, what kind of tasks they're best for, and how that can change the nature and scale of problems you can address. Condor, a freely available and open source distributed computing system, will be demonstrated and all example...

Sensor network technologies: Recent innovations and tools for management and analysis of sensor data (Part 2)

submitted by: LTER_NetworkOffice_is
The deployment of innovative sensor technologies and high performance wireless communication at ecological field research locations is generating large volumes of near real-time data streams that allow for unprecedented scientific questions and educational opportunities. Accompanying this sensor network development is a crucial need for tools to control, process, coordinate, validate, and analyze multiple data streams. These innovative approaches or technology tools include, for example,...

Sensor network technologies: Recent innovations and tools for management and analysis of sensor data

submitted by: LTER_NetworkOffice_is
The deployment of innovative sensor technologies and high performance wireless communication at ecological field research locations is generating large volumes of near real-time data streams that allow for unprecedented scientific questions and educational opportunities. Accompanying this sensor network development is a crucial need for tools to control, process, coordinate, validate, and analyze multiple data streams. These innovative approaches or technology tools include, for example,...