Author ORCID Identifier
https://orcid.org/0000-0002-0153-1095
Document Type
Article
Disciplines
1.2 COMPUTER AND INFORMATION SCIENCE, Computer Sciences
Abstract
Atmospheric pollution has become a serious threat in recent years. The advancements and expansion of industrial activity and civilization have been the major catalysts. With serious consequences like climate change and global warming, the onset of which is already being observed, keeping a check on atmospheric pollutant levels is now more important than ever. Trace gases play a major role in atmospheric chemistry. Many of these are also regarded as major atmospheric pollutants. The concentration of gases, such as (SO2), (O3), (NO2), etc., are indicators of air quality. Therefore, in this study, we primarily concern ourselves with concentrations of NO2, SO2, and O3.
DOI
https://doi.org/10.1109/JSTARS.2023.3244719
Recommended Citation
Dey, Prasanjit; Pran Das, Bibhash; Lee, Yee Hui; and Dev, Soumyabrata, "NeSNet: A Deep Network for Estimating Near-Surface Pollutant Concentrations" (2023). Articles. 199.
https://arrow.tudublin.ie/scschcomart/199
Funder
Science Foundation Ireland; ADAPT SFI Research Centre, UCD
Creative Commons License
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 International License.
Publication Details
https://ieeexplore.ieee.org/document/10043715/keywords#keywords
https://doi.org/10.1109/JSTARS.2023.3244719