Prediction of Column Average Carbon Dioxide Emission Using Random Forest Regression

The carbon dioxide emission in the atmosphere is increasing tremendously each day. Researchers have found satellites to monitor the emission level. The purpose of this paper is to predict the column average carbon dioxide using the satellite data and map the regions that emit carbon dioxide, so that the emission can be reduced to maintain an eco-friendly environment. The model is trained using the Random Forest Regression. The performance of the model depends upon the features selected for training it. The satellite data is taken from OCO-2 satellite. The orbiting carbon observatory satellite measures the amount of sunlight reflected from a column of air containing carbon dioxide (CO2) rather than the amount of CO2 itself. Additionally, the CO2 emission is also found in smaller areas using the large area data. On average, the suggested model forecasts the carbon dioxide concentration in both bigger and smaller regions.