Our world is facing many urgent challenges, such as climate change, water insecurity, and food insecurity. Maintaining and improving quality of life around the world requires bringing together innovators across disciplines and countries to find creative solutions.
One critical tool for understanding and improving the urgent challenges facing our world is Earth observation data, meaning data that is gathered in outer space about life here on Earth! Earth observation data provides accurate and publicly accessible information on our atmosphere, oceans, ecosystems, land cover, and built environment. The United States and its partners have a long history of exploring outer space and making satellite, airborne, and in-situ sensor datasets openly available to all.
In this challenge, participants created visualizations using Earth observation data that advanced the Sustainable Development Goals of zero hunger, clean water, and climate action. The challenge was designed enable a broader, more diverse audience to engage with Earth observation data and take advantage of its potential.
This repository contains the winning submissions from the Pale Blue Dot DrivenData challenge. Code for all winning solutions are open source under the MIT License.
Winning code for other DrivenData competitions is available in the competition-winners repository.
Best Overall Prize
| Team | Users | Summary of Submission |
|---|---|---|
| EE Frogs | aln26, Bastian6, and tmulick | Analyzes solar panel suitability on the Turks and Caicos Islands using environmental data from Landsat and elevation data from ASTER |
| H2plastic | Marília, ruvit, wesley_andradez, and wtkellyy | Tracks the concentration of microplastics in the ocean along Brazil's coast using CYGNSS satellite data |
| Hunatek-Kalman | bwalzer009, mnflabiano, nanderson, and rowanam | Quantifies wildfire impacts in eastern North America by combining EPA air quality system data with MODIS imagery of burned area and active fires |
| Spatial Clan | Insights101 and linusanari_ | Maps food insecurity risk by combining drought reports (Kenya's National Drought Management Authority) and satellite-based rainfall data (NASA) |
| Viva Aqua | AtomicTiger, franfurey, Jaay, and Malenag | Models groundwater level in The Gambia to identify locations for new water wells using MODIS imagery, groundwater data from IGRAC and the British Geological Survey, and satellite-based precipitation models from NASA's IMERG |
Full winning submissions are shared in the submission folder inside the directory for each team. Additional solution details can be found in the reports folder.
Community Code Bonus Prize
Katso Obotsang (username Katso) won the Community Code Bonus Prize for the post "Creating a visualization from your csv file in Python". Katso is based in Kweneng District, Botswana.
Honorable Mentions for Compelling Visuals
33 submissions received an Honorable Mention for Compelling Visuals. Check out the Honorable Mentions gallery page to see all of their visuals!
Winners Blog Post: Meet the winners of the Pale Blue Dot Challenge
Honorable Mentions for Compelling Visuals: Honorable Mentions gallery
Data Resources Blog Post: Open Earth Observation Data for the Pale Blue Dot: Visualization Challenge