Quantifying COVID-19 enforced global changes in atmospheric pollutants using cloud computing based remote sensing
Published: 16 August 2020| Version 1 | DOI: 10.17632/9kgxzwd6y3.1
Contributor:
Manmeet SinghDescription
This dataset contains the percentage change in PM2.5, NO2, Tropospheric ozone, and AOD over 93 major megacities of the world using cloud computing enabled satellite data-based remote sensing. NO2 and Tropospheric ozone are used using Google Earth Engine from Sentinel-5P, AOD from MODIS and PM2.5 is the data-assimilated product from ECMWF.
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Categories
Remote Sensing, Cloud Computing, Air Pollution, Atmospheric Chemistry