MobyLeTion

Motion by Learning AutomaTion

Satellite radar interferometry is a powerful technique to measure surface motion and to monitor infrastructure. However, so far the monitoring has been limited to an incidental and blind repetition of historical data analysis. To come to a true and informed monitoring framework, we try to build the CAROLINE software system. The objective of CAROLINE is to systematically monitor and assess the structural dynamic behavior of (geo)structures, using contextual information.

Although a prototype of the CAROLINE system has been created based on previously developed software tools, the solution is aged, multilingual, unscalable, and therefore hard to maintain. There is a need for an improved automated implementation, using state-of-the-art tools for efficiency, scalability, and workflow management. The use of GPUs for repeating computations will significantly improve the performance of the system.

The continuous stream of information provided by CAROLINE can be broadly utilized for critical infrastructure such as dikes, roads, and bridges.

Participating organisations

Netherlands eScience Center
Delft University of Technology
University of Twente
Environment & Sustainability
Environment & Sustainability

Team

FvL
Freek van Leijen
Lead Applicant
Delft University of Technology
Niels  Drost
Programme Manager
Netherlands eScience Center
NJ
Niels Jansen
Co-Applicant
Delft University of Technology
LC
Ling Chang

Related projects

MobyLe - Motion by Learning

Estimating Motion of Objects on Earth from Space

Updated 6 months ago
In progress