Spatio-temporal data on the air pollutant nitrogen dioxide derived from Sentinel satellite
Published: 11 December 2019| Version 1 | DOI: 10.17632/4cvr2hs4xv.1
Contributor:
Hichem OmraniDescription
The daily air pollution data was collected from May 2018 to June 2019. The data consists of a netCDF file containing Sentinel-5P measurements with multiple attributes (e.g., latitude/longitude, WGS84 projection, and date of measurement), allowing both spatial and temporal observations of air pollutants. The collected data are processed by a Python code, which gives air pollution hotspots. The automated workflow to process Sentinel 5P data is transferable to any other study area on the globe.
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Categories
Applied Sciences, Environmental Science, Air Pollution, Pollutant, Big Data, Big Data Analytics, Applied Computer Science, Application of Big Data