Google Earth Engine Tutorial 6: Air Quality Monitoring using Remote Sensing Techniques

In this video, we will learn how to perform air quality monitoring in Google Earth Engine using Sentinel-5 satellite imagery. In this tutorial, we will focus on calculating NO2 concentrations. In upcoming videos, I will demonstrate how to analyze other air quality parameters one by one. However, From today’s video, you will learn how to: • Import data from GEE datasets • Filter the data • Reduce the image collections • Clip the data based on your AOI • Display the results on the map Script var no2 = ee.ImageCollection("COPERNICUS/S5P/OFFL/L3_NO2") var image = no2.filterDate ('2022-01-01' , '2022-05-30') .select('NO2_column_number_density') .mean() .clip(AOI) var band_viz = { min: 0, max: 0.0002, palette: ['black', 'blue', 'purple', 'cyan', 'green', 'yellow', 'red'] }; Map.addLayer (image, band_viz) Map.centerObject (AOI, 10)