The ability to accurately monitor carbon emissions is a critical step in the fight against climate change. Precise carbon readings allow researchers and governments to understand the sources and patterns of carbon mass output. While Europe and North America have extensive systems in place to monitor carbon emissions on the ground, there are few available in Africa.
The objective of this challenge is to create a machine learning models using open-source CO2 emissions data from Sentinel-5P satellite observations to predict future carbon emissions.
These solutions may help enable governments, and other actors to estimate carbon emission levels across Africa, even in places where on-the-ground monitoring is not possible.