High-Level Project Summary
Mapping Real time space debris like rocket bodies, communication fragements and spacecraft using deep meta learning. We have used celestrak data for getting the information about rocket bodies and satellite longitude and latitude. Based on these data, we have implemented functions that can map whenever the new data record in the xml. We have used nodejs and html for creating an web application and embedded this function into it. So far we have only solved satellite mapping and rocket bodies mapping.This mapping would help to detect the debris in space so that we will be aware of the poisition of debris and we can avoid the collisions occurence.
Link to Project "Demo"
Link to Final Project
Detailed Project Description
Our idea is to map the debris from satellite and rocket bodies with the use of deep meta learning with python and after the learning process, we developed an application to detect the debris parameters such as satellite junks and rocket bodies with the help of celetsrak. However, we haven't achieved our complete bodies but so far we have achieved satellite mapping and rocket bodies location.
Space Agency Data
We used an open layer data source and implemented it with cellestrak source. We checked the demo of the orbit layer and that gave us an idea of how we can map the satellite and rocket bodies longitude and latitude details. We did as much as we could because of the detailed data source from the open source repository.
Hackathon Journey
It was an amazing experience for our team and we learned a lot of new data about debris and how we can develop this project as an application. Thank you for this opportunity!
References
Nodejs
Celestrak
Open Layer
Satellite JS
Tags
#deep meta learning #celestrak #open-layer #nodejs
Global Judging
This project has been submitted for consideration during the Judging process.