Project Details

The Challenge | Show the World the Data!

NASA’s open data sources hold an abundance of imagery. Mapping that imagery to a digital globe makes the data interactive and may enable people to discover relationships among ecosystem phenomena. Your challenge is to develop a digital globe web-app that visualizes Earth science data using NASA’s Web WorldWind.

RETEA - Real Time Evaluation of Asteroid

We have made a web app & android app which can detect hazardous asteroids, 3D astroid visualization & impact calculation using NASA open source data.

Abacus_Xtreme


GitHub Link :https://github.com/sabuj073/NasaSpaceAppChallange2019


Hello Everyone,
We are Abacus Xtreme, a small team of Rajsahi, Bangladesh consists of 3 Developer and one Designer. We are working with a project, named RETEA – Real Time Evaluation of Asteroid. Which is satisfying the Sub category “Show the world the data

For this purpose we have chosen NEO(Near Earth Object). Main motto of our project is to increase human interaction with space and save the world from asteroid collision.

We have done these tasks throughout our project –

  • We are getting List of asteroids that can hit earth today or in near 7 days from NASA directory in real time
  • Classifying these asteroids to find out Whether they are Hazardous or not.
  • Impact prediction of the asteroids.
  • Trajectory calculation and interactive visualization.

Our problem was to gather correct amount of data for training the network. We have solved our problem using Deep Neural Network.We had to collect data set of Atten, Apollo, Armor class asteroids.We have classified PHA (Potential Hazardous Asteroid) by considering AU (Astronomic Unit) and MOID (Minimum orbit Intersection Distance) of an asteroid.The Neural Network model include some key steps to consider data to be trained or tested for classification and future predictions:

  • Execution of NEO recognizing Protocol. Where Tree decision data pruning process allows raw data to transform into actionable and valuable data that could be implemented in the network as knowledge.
  • FIRST LAYER | Feed the neural net with training data.
  • Execution of a SoftMax regression with the spectral and physical data about the asteroid.
  • SECOND LAYER | Retrain the Neural Network.

We have predicted different kind of impacts with our model –

  • Atmospheric Entry
  • Energy
  • Global Damages
  • Crater
  • Ejecta
  • Thermal Radiation
  • Seismic Effects
  • Air blast
  • Tsunami

This is our prototype -
Where we can get the list of asteroid that can hit earth by clicking the Generate Asteroid Button & respective information of the asteroid is shown here. Here we have plotted the asteroids by sorting the distance from earth in ascending order.By clicking any of the asteroid we can get all information of that asteroid & a 3D interactive view of that asteroid.& by clicking the button “Calculate Impact” we can see the predicted impact of that asteroid.List of all asteroid that can hit today or in near 7 days are available here.Our future plan with this project is to deallocate asteroid from its path to save the earth from Collision.

We propose to build a small space station that will be the storage site for the. Photons, aggregated from the sun.Inside the space station we will have collider that works on the principle of. Second Harmonic generation (SHG). The collider will basically keep on combining 2 photons to develop the 3rd photon with a different angular frequency and then combine the newly generated photons too, continuing this process to store up Photons of huge energy and also conserving their momentum until an asteroid is detected to be

deflected.Once the asteroid is detected the space station will use the stored Photons. The asteroids course will then be changed by a beam of highly dense anisotropic emission of thermal Photons that will deflect the asteroid by the phenomenon of the Yarkovsky effect.

Thank you everyone.