Spatio-temporal data on the air pollutant nitrogen dioxide derived from Sentinel satellite
| Main Author: | Omrani, Hichem |
|---|---|
| Format: | Dataset |
| Terbitan: |
Mendeley
, 2019
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| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/4cvr2hs4xv |
Daftar Isi:
- 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.