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Layer.ai Air Quality Prediction Challenge

Domaine:

environment and energygeospatial

Type de record:

dataset

Can you use Sentinel 5P data to predict air quality in Kampala for AirQo?
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.
SulphurDioxide - COPERNICUS/S5P/NRTI/L3_SO2
CarbonMonoxide - COPERNICUS/S5P/NRTI/L3_CO
NitrogenDioxide - COPERNICUS/S5P/NRTI/L3_NO2
Formaldehyde - COPERNICUS/S5P/NRTI/L3_HCHO
UvAerosolIndex - COPERNICUS/S5P/NRTI/L3_AER_AI
Ozone - COPERNICUS/S5P/NRTI/L3_O3
Cloud - COPERNICUS/S5P/OFFL/L3_CLOUD
More info on Sentinel 5p data can be found here.

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