High-Level Project Summary
NASA’s airborne campaigns collect high-resolution data to solve specific scientific problems, but these data can be used to study additional topics, especially when combined with other types of data. Our goal is to create an app that will utilize the data from one of five selected airborne campaigns to educate the public about a problem associated with Earth’s changing climate. Want to know what climate change feels like? Ask an Alaskan. Vanished sea ice. Skies choked with wildfire smoke. Animals appear where they shouldn’t. Climate change is visible everywhere in Alaska.
Link to Final Project
Link to Project "Demo"
Detailed Project Description
The idea was to create a Web App which will educate the people about climate change in their area. Currently, we’re using Alaska’s data provided on NASA’s Website. After that, there is a long and detailed study of the data in the form of graphs. The data we have collected is from 2000 - 2016 for the month of September. Further, when the user opens our Web App there is a short description about the App. Also, there is a short go-through of what this app is about and more about the effects of climatic change happening in the Alaskan and Canadian regions. There is also a deep data analysis of the minimum, maximum and average temperature of Alaskan and Canadian areas for each year from 2000 to 2016. We also implement a quiz with a leaderboard and certificates to incentivise "the care shown for our environment by the user." We have used Astro, Pico CSS, Github, ChartJS, Fast API, Gunicorn, Python Imaging Library, Pandas, Collegiate, Font, Azura, GraphQL, Request Lib, Python dotenv lib, Unicorn, Mito, OpenAPI, Netlify, For Hosting Railway, Hosting, Postgres and Docker.
Space Agency Data
We mainly used the data provided on NASA’s Arctic-Boreal Vulnerability Experiment (ABoVE) website about climatic change in the Alaskan and Canadian regions. We used “pandas” to manipulate data, for example removing unwanted and unused columns, and replacing the empty values in the datasets. For the past couple of years, Global warming and Climate Change has been big problem for humans. Thus our team decided to use the data given on NASA’s Arctic-Boreal Vulnerability Experiment (ABoVE) website about climatic change to educate people through our app.
Hackathon Journey
The journey was thrilling and challenging at the same time. As one of the only two teams on the venue comprised entirely of high schoolers, we were overwhelmed by the information thrown at us. We were aware of the impact of climate change on our world and wanted to take up a related project. We choose "Taking a flight challenge." to use NASA's ABOVE dataset and study the impact of climate change on wildlife and vegetation in Alaska and Western Canada. We learned how to collaborate, connect and make an actual project which can impact the world. What we wanted to do with this web app was to make people know more about how climate change has impacted us in a user-friendly manner. We also implement a quiz with a leaderboard and certificates to incentivise "the care shown for our environment by the user." We were initially making something very technical and complex which would have defied the basic purpose behind the creation of this app and a mentor helped us realise the same. We are very thankful to him for his timely guidance. Also, everyone including the judges was very supportive.
References
- ChartsJS
- Pico CSS
- Github
- Astro
- NCA
- Maureen Clark / AP Images
- NOAA
- Fast API
- Uvicorn
- Python Imaging Library
- Pandas Collegiate Font
- Hasura GraphQL
- Request Library
- Python dotenv Library
- Gunicorn
- Mito
- OpenAPI
- Netlify Hosting
- Railway Hosting
- Postgres Hosting
- Docker
- The Arctic-Boreal Vulnerability Experiment (ABoVE) dataset.
Tags
#climate-change #data-analysis