Polynomial Chaos | Polar Opposites
Awards & Nominations
Polynomial Chaos has received the following awards and nominations. Way to go!
The Challenge | Polar Opposites
Monitoring and Prediction of Melting Glaciers
Prediction of Melting Glaciers, analyzing several images and unstructured data provided by NASA implementing Machine Learning Algoritms, Web Interface and Augmented Reality to display the results to the user.
Due to industrial development and modernity, the ice on the Earth's poles have been disintegrating and because of that, the climate around the world is changing faster and more violent.
Last year, a giant iceberg twice the size of Luxembourg broke an ice shelf in the Antarctic Peninsula and was adrift in the Weddell Sea. It was discovered that the iceberg had separated from the Larsen C segment of the Larsen ice shelf. An event that, according to researchers, has changed the landscape of the Antarctic Peninsula and left the Larsen C ice shelf at its lowest point ever recorded.
Fortunately, as humans, we have been studying the poles for decades. And now Satellites, expeditions, air-bones and even submarines have been collecting a huge amount of data. So, with the data provided by NASA, such as temperaature, pressure, ice height, etc. We have developed two statistical models, which with the help of machine learning we can predict possible places of ice break in both poles, also the speed and direction of movement of the new icebergs.
Nevertheless, it's very difficult to understand and visualize this metadata to see the real status of the earth and our predictions.
Hence, our team has created a statistical and interactive application which is called “POLYNOMIAL CHAOS”.
Our system will allow researchers and scientific people to represent climate data in a more meaningful way using AR and 3D visualizations.
Therefore, we will be able to visualize statistics, physical models and machine learning predictions simultaneously in the Arctic and Antarctic poles.
As a fully developed system, it would allow governments, organizations, and communities around the world to have deep insight into the climate changes and be prepared for future treads.
WATCH, UNDERSTAND AND ACT.
GitHub Repositories
- Artificial Neuronal Network : https://github.com/verusmick/space18-neuralNet
- Regression Linear Model: https://github.com/verusmick/space18-data
- Api-middleware : https://github.com/verusmick/space18-api
- Desktop-client: https://github.com/kian182/mapSpaceApps2018
- Augmented reality: https://github.com/Davydero/ARSpaceApps2018
Contestants
SpaceApps is a NASA incubator innovation program.