eScience proposal: Estimating motion of objects on earth from space selected

Highlight from newsletter eScience Center: 
 

Some more exciting news is that we have awarded 25 new projects in response to three of our calls for proposals! From personalized cancer vaccine design to estimating motion of objects on earth from space (Freek's project), there’s an abundance of innovative projects just waiting to be kicked off. We look forward to collaborating with our partners to help them answer their research questions through advanced research software. 

Motion by Learning (MobyLe): Estimating Motion of objects on Earth from Space
Dr. ir. F. van Leijen, TU Delft 

Dike and infrastructure failures are events with a low-probability, but an extremely high-impact. Reliable warning systems can save lives and property. We propose an autonomous processing system based on near-continuous streams of satellite data, which enables the estimation of indicative surface motion at millimetre-precision. For a reliable estimate of these motions, additional spatial and temporal information on, for example, soil types, building age, and weather conditions should be incorporated, which enables a more reliable estimation by Artificial Intelligence (AI) techniques.  

Purpose and intended result: 
We will design, develop and demonstrate a generic toolbox for the homogenization of these additional data sources. Furthermore, an AI approach is designed and implemented which uses these homogenized datasets for the estimation of ground motion time series.