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GI3.6 Low cost sensor systems and open source solutions for monitoring and assessment in the geosciences (co-organized) |
| Convener: Pauline Miller | Co-Conveners: Amy Woodget , Natan Micheletti |
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A new generation of low-cost sensor systems are enabling improved monitoring and assessment of natural phenomena and surface processes related to geoscience applications. This includes systems based on close range photogrammetry (including approaches based on smartphones and tablets, and kite/balloon platforms), unmanned aerial vehicles (UAVs), sensor networks (e.g. GPS/GNSS, geotechnical, soil moisture, etc.), mobile apps and in some cases, their interface with ICT approaches to enable remote operation and/or real-time monitoring. The delivery of high spatial resolution topographic measurements is often crucial in interpretation and assessment of surface processes, and related drivers. Likewise, spatially-distributed, high temporal frequency monitoring such as that delivered through sensor networks can enable near real-time monitoring of specific environmental variables, relevant to events such as landslide hazard, flood risk, soil moisture, glacier dynamics etc. In many cases, it is underlying ICT infrastructure and processing solutions which enables such approaches. This includes the tremendous growth in open source software which is facilitating greater access to powerful computational approaches and development of bespoke monitoring solutions. These emerging technologies are increasingly affordable, and provide new opportunities to investigate surface change and other geoscience processes, or mitigate impacts of extreme events. This session welcomes submissions related to such developments, and their implementation for enhanced assessment and monitoring in geoscience applications.
Contributions relating to the following are especially encouraged:
- low-cost sensors for high spatial/temporal resolution monitoring;
- real-time monitoring/early-warning systems and data analysis;
- close range photogrammetry and structure-from-motion (SfM) approaches;
- unmanned aerial vehicles/systems (UAV/UAS) for multi-temporal assessment;
- integration of low cost sensor technology and ICT infrastructure;
- sensor networks, associated infrastructure/architecture and data analysis challenges;
- mobile apps for environmental monitoring;
- approaches incorporating crowd-sourced data and related sensor technology.