Awards & Nominations
Lua Lipa +1 has received the following awards and nominations. Way to go!

Lua Lipa +1 has received the following awards and nominations. Way to go!
For our challenge we were tasked with plotting space debris coordinates above the earths surface in real time.We developed a web app hosted on vite which involved utilising JavaScript, HTML, CSS, GLSL for shading, a lot of teamwork and cumbersome data retrieval.It solves the challenge by allowing the user to view a 3D globe which they control with their mouse and have the space debris represented as red dots.We hope this will bring awareness to how much space debris will be an issue and encourage the collection of it as well as more conscious behaviour around leaving things behind in space.
The project uses the data provided on space debris (lat, long, alt) in order to plot them as red dots above the sphere (earth) surface to represent the space debris for the user to freely navigate.
This project works by displaying a 4k 3d globe in which the user can freely navigate and view all of the respective space debris locations represented by red dots. The data is read in the main.js file and is used to plot these red points above the earth's surface. The file uses three.js for creating the globe and its movement and for creating the red dots above the earth. It also use's satellite.js for getting the position and velocity of the debris so that we accurately map the debris in real time. Finally, it makes use of some GLSL files we created to create the shading and atmosphere of the globe. We currently are using the vite server to run our project locally.
We hope to raise awareness on the extent at which space debris is polluting our earths orbit. This in turn we hope would shine a light for our future generations as well as the current to care more about what we leave behind in space and increase the importance of space debris collection as it will, at this rate, without a doubt impact our future space missions.
We made use of the following tools, coding languages and software to develop our project:
Our project can be accessed and trialed at the following link: https://www.spacebruscar.co
We made use of the Space-Track data that was suggested in the considerations section of the challenge.
We used Space-Track's TLE data, which is the de facto standard for distribution of an Earth-orbiting object's orbital elements, to gain information on the full catalog on what's is currently in space, then utilising this data we used satellite.js to calculate the debris location in space in real time.
We chose space-track over CelesTrak because of space-tracks commitment to safe travel which we believe could be compromised due to space debris.
We would describe our hackathon experience as educational. We were all able to learn more about languages that we weren't very familiar with such as javascript and GLSL, as well as learning how to work together as a team and develop a product we are proud of, at the end of just 48 hours!
We were inspired to choose this challenge as we were interested in a data related project and also the concept of Space Trash and mapping debris seemed very cool. It's also nothing like any projects we have done before, as its graphics heavy, and we were up for a challenge.
Our approach was as follows:
We resolved setbacks and challenges through google, discussions and contacting mentors for help on issues that arouse relating to data retrieval.
We would like to thank Sahir Sharma for answering queries, bringing us this opportunity as its brought us closer together as team and, after using new tools and libraries, has broadened our love for coding.
https://vitejs.dev
https://threejs.org
https://github.com/shashwatak/satellite-js
#programming #space #satellites #spacetrash
This project has been submitted for consideration during the Judging process.
The increasing amount of debris orbiting Earth could potentially limit our access to space, impacting not only exploration efforts, but routine aspects of our life on Earth. Your challenge is to develop an open-source geospatial application that displays and locates every known debris object orbiting Earth in real time.
