FDL 2019

In 2019 FDL tackled challenges in Heliophysics, Astronaut Health, Disaster Prevention and Lunar Exploration.

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LIVING WITH OUR STAR: EXPANDING THE CAPABILITIES OF NASA’S SOLAR DYNAMICS OBSERVATORY

The team devised a way for solar extreme UV telescopes to self-calibrate, improving our capability to monitor space weather. Furthermore, the team created a synthetic telescope to image the Sun’s corona. 

LIVING WITH OUR STAR: ENHANCES PREDICTABILITY OF GNSS DISTURBANCES

The team used a novel machine learning approach of bringing together auroral imagery and solar-magnetosphere-ionosphere observations to improve the predictability of GPS/GNSS signal disruptions.

LIVING WITH OUR STAR: SUPER-RESOLUTION MAPS OF SOLAR MAGNETIC FIELD COVERING 40 YEARS OF SPACE WEATHER EVENTS

Used state of the art deep neural networks to calibrate and super-resolve historical maps of the solar magnetic field.

ASTRONAUT HEALTH: GENERATION OF SIMULATED BIOSENSOR DATA

THE MOON FOR GOOD: LUNAR RESOURCE MAPPING / SUPER RESOLUTION

The team produced a global data stack of lunar orbiter measurements by fusing 42 layers of multi-sensor satellite data.

The team used a novel GAN architecture to combine symptomatic Electrocardiograms (ECG) and healthy Astroskin wearable data to synthesise what a signal would look like for an astronaut with a heart condition.

DISASTER PREVENTION, PROGRESS AND RESPONSE: FLOODS

The team developed a generalised model for predicting the likelihood of a flood event (and moment of peak flood height) after a known rainfall.