The objective of this challenge is to predict PM2.5 particulate matter concentration in the air for some locations in Uganda. PM2.5 refers to atmospheric particulate matter that has a diameter of less than 2.5 micrometers and is one of the most harmful air pollutants. PM2.5 is a common measure of air quality that normally requires ground-based sensors to measure.
The sentinel 5p data provided was extracted from google earth engine. The following pollutants were extracted from their respective images.
Shows the submission format for this competition, with the ‘ID’ column mirroring that of Test.csv and the ‘target’ column containing your predictions. The order of the rows does not matter, but the names of the ‘ID’ must be correct.
Contains the target. This is the dataset that you will use to train your model.
Resembles Train.csv but without the target-related columns. This is the dataset on which you will apply your model to.