Automated Detection of Hazards

Countless phenomena such as floods, fires, and algae blooms routinely impact ecosystems, economies, and human safety. Your challenge is to use satellite data to create a machine learning model that detects a specific phenomenon and build an interface that not only displays the detected phenomenon, but also layers it alongside ancillary data to help researchers and decision-makers better understand its impacts and scope.

Single-Event Upsets Damage Minimization

Summary

Solar flares are one of the biggest causes of Single-Event Upsets in satellites. That is why we are creating software that uses NASA's solar flare predictions to determine and avoid possible Single-Event Upsets in satellites

How We Addressed This Challenge

Software uses NASA's solar flare predictions and determines if satellite can experience SEU. If so, system sends signal to the satellite control center to inform about the upcoming danger. Therefore, scientists and engineers can backup satellite data and prepare its critical systems for the harsh conditions.

This system could prolong lifespans of satellites, backup important scientific data, save large amount of funds spent each year for satellite maintenance.

We hope this system can be implemented in real working environment and bring huge benefits for satellite engineers.

How We Developed This Project

We were inspired by Canada's CASSIOPE satellite SEU's data and were directed to the right path by our mentors. We mainly focused on developing a plausible concept. We spent most of our time researching information about the solar flares and their impacts to the satellites. The hardest problem we faced was lack of experteese in astrophysics and space engineering.

How We Used Space Agency Data in This Project

We used CASSIOPE satellite SEU events data to determine how often these events occur. Also it inspired us to take up this project.

In future we are planning to use NASA's Solar Dynamics Observatory solar flare prediction data.

Project Demo
Data & Resources

CASSIOPE satellite data: ftp://data.asc-csa.gc.ca/users/OpenData_DonneesOuvertes/pub/CASSIPOE/

Tags
#sun, #flare, #satellite, #SEU, #solarflare, #GIFO, #GIFTed, #KTU, #NASA, #SpaceApps
Judging
This project was submitted for consideration during the Space Apps Judging process.