Spatio-temporal data on the air pollutant nitrogen dioxide derived from Sentinel satellite

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.

Identifier
DOI https://doi.org/10.17632/4cvr2hs4xv.1
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-o1-to3f
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:156352
Provenance
Creator Omrani, H
Publisher Data Archiving and Networked Services (DANS)
Contributor Hichem Omrani
Publication Year 2019
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/licenses/by/4.0; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Representation
Resource Type Dataset
Discipline Other