A Novel Dataset and Benchmark for Surface NO2 Prediction from Remote Sensing Data Including COVID Lockdown Measures

Item Type Conference or Workshop Item (Paper)
Abstract NO2 is an atmospheric trace gas that contributes to global warming as a precursor of greenhouse gases and has adverse effects on human health. Surface NO2 concentrations are commonly measured through strictly localized networks of air quality stations on the ground. This work presents a novel dataset of surface NO2 measurements aligned with atmospheric column densities from Sentinel-5P, as well as geographic and meteorological variables and lockdown information. The dataset provides access to data from a variety of sources through a common format and will foster data-driven research into the causes and effects of NO2 pollution. We showcase the value of the new dataset on the task of surface NO2 estimation with gradient boosting. The resulting models enable daily estimates and confident identification of EU NO2 exposure limit breaches. Additionally, we investigate the influence of COVID-19 lockdowns on air quality in Europe and find a significant decrease in NO2 levels.
Authors Scheibenreif, Linus Mathias; Mommert, Michael & Borth, Damian
Research Team AIML Lab
Language English
Subjects computer science
HSG Classification contribution to scientific community
Date 16 July 2021
Publisher IEEE
Place of Publication IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2021
Event Title IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2021
Event Location Brussels, Belgium (virtual)
Event Dates 11-16 July 2021
Publisher DOI https://doi.org/10.1109/IGARSS47720.2021.9554037
Official URL https://igarss2021.com/view_paper.php?PaperNum=363...
Contact Email Address linus.scheibenreif@unisg.ch
Depositing User Linus Mathias Scheibenreif
Date Deposited 22 Oct 2021 08:27
Last Modified 20 Jul 2022 17:46
URI: https://www.alexandria.unisg.ch/publications/264664

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Scheibenreif, Linus Mathias; Mommert, Michael & Borth, Damian: A Novel Dataset and Benchmark for Surface NO2 Prediction from Remote Sensing Data Including COVID Lockdown Measures. 2021. - IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2021. - Brussels, Belgium (virtual).

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https://www.alexandria.unisg.ch/id/eprint/264664
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