The GreenCorn team developed a web application for satellite viewing. On a web page you will find a map with a field to include your city and / or country (ex .: São Paulo BR) and after entering the information press the button the map will be updated taking the location related to the typed allowing you to explore the map and find icons that returned information from nearby satellites according to data provided by the NASA api.
• The importance of this application is to encourage the general public to get to know the network that orbits them thus captivating their curiosities and interest in satellites. We do not want it to be just a curiosity site but a way to present a new world that opens up new interested people to work with space and the like.
The GreenCorn team meets for the first time to participate in its first Hackathon, due to lack of experience with the modality and specificity of our knowledge as web development students we reached a consensus to choose the Orbital challenge, because through it we would be able to put our knowledge the proof with the project we thought.
In the Trello application we share tasks and functions for members, program in Javascript using VScode, use the API https://geocode.xyz to convert addresses into geographic coordinates, API https://leafletjs.com/ to generate the map together with its purposes and https://sscweb.gsfc.nasa.gov/WebServices/REST/#Get_Locations_GET from NASA to have access to satellite orbit data and other data.
The biggest challenge is the lack of experience of the group both in the modality and in programming and the time being 48h short, but we arrived at a prototype that we are proud with the functionality related to a way to deal with the proposed challenge and that with the development of our skills can become a complete website.
The main way that our application uses the data is in comparing our map so that the user can find the satellite crossing the location typed in the search box with the geolocations provided in the API and also when the satellite is found we use the data to expose which the characteristics of the satellite, all of which are being rendered on the map. What we receive from the API is a Json-type file that contains all the information mentioned above and through functions we extract and expose the data according to the anticipated needs.
https://youtu.be/swgVXbvqYBk
