Journal
DATA IN BRIEF
Volume 28, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.dib.2019.105089
Keywords
Air pollution; Remote sensing; Monitoring
Categories
Funding
- Luxembourg Institute of Socio-Economic Research (LISER)
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Monitoring of air pollution is an important task in public health. Availability of data is often hindered by the paucity of the ground monitoring station network. We present here a new spatio-temporal dataset collected and processed from the Sentinel 5P remote sensing platform. As an example application, we applied the full workflow to process measurements of nitrogen dioxide (NO2) collected over the territory of mainland France from May 2018 to June 2019. The data stack generated is daily measurements at a 4 x 7 km spatial resolution. The supplementary Python code package used to collect and process the data is made publicly available. The dataset provided in this article is of value for policy-makers and health assessment. (C) 2020 The Author(s). Published by Elsevier Inc.
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