Development of an air quality dashboard using Sentinel-5P data

Lerato Shikwambana; Mahlatse Kganyago; Nkanyiso Mbatha; Paidamwoyo Mhangara

doi:10.1117/12.3068951

Development of an air quality dashboard using Sentinel-5P data

Lerato Shikwambana
, Mahlatse Kganyago
, Nkanyiso Mbatha
, Paidamwoyo Mhangara

Geography, Environmental Management and Energy Studies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Limited ground station data hinders air quality monitoring, but satellite data offers a reliable alternative for tracking pollutants. This study presents an operational system for monitoring air quality in South Africa using Sentinel-5P data for sulphur dioxide (SO₂), nitrogen dioxide (NO₂), and carbon monoxide (CO), alongside particulate matter (PM_2.5 and PM₁₀) data from the Copernicus Atmosphere Monitoring Service (CAMS). These datasets are processed in Google Earth Engine (GEE) and integrated into a web server via APIs. We display the spatial Air Quality Index (AQI) across South Africa during winter, highlight AQI pollutant contributions, and provide a PM_2.5 time series for the Johannesburg region. We also introduce the ongoing development of a web-service dashboard, currently incorporating SO₂, NO₂, and CO data, with plans to include PM data. This dashboard, still in progress but on track, will support decision-makers, scientists, and authorities in monitoring air quality effectively.

Original language	English
Title of host publication	Remote Sensing of Clouds and the Atmosphere XXX
Editors	Evgueni I. Kassianov, Simone Lolli
Publisher	SPIE
ISBN (Electronic)	9781510692756
DOIs	https://doi.org/10.1117/12.3068951
Publication status	Published - 29 Oct 2025
Event	30th Remote Sensing of Clouds and the Atmosphere - Madrid, Spain Duration: 16 Sept 2025 → 17 Sept 2025

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	13668
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	30th Remote Sensing of Clouds and the Atmosphere
Country/Territory	Spain
City	Madrid
Period	16/09/25 → 17/09/25

Keywords

Air pollution
air quality monitoring
dashboard
nitrogen dioxide
particulate matter
user-interface

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Instrumentation
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.3068951

Cite this

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title = "Development of an air quality dashboard using Sentinel-5P data",

abstract = "Limited ground station data hinders air quality monitoring, but satellite data offers a reliable alternative for tracking pollutants. This study presents an operational system for monitoring air quality in South Africa using Sentinel-5P data for sulphur dioxide (SO2), nitrogen dioxide (NO2), and carbon monoxide (CO), alongside particulate matter (PM2.5 and PM10) data from the Copernicus Atmosphere Monitoring Service (CAMS). These datasets are processed in Google Earth Engine (GEE) and integrated into a web server via APIs. We display the spatial Air Quality Index (AQI) across South Africa during winter, highlight AQI pollutant contributions, and provide a PM2.5 time series for the Johannesburg region. We also introduce the ongoing development of a web-service dashboard, currently incorporating SO2, NO2, and CO data, with plans to include PM data. This dashboard, still in progress but on track, will support decision-makers, scientists, and authorities in monitoring air quality effectively.",

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Shikwambana, L, Kganyago, M, Mbatha, N & Mhangara, P 2025, Development of an air quality dashboard using Sentinel-5P data. in EI Kassianov & S Lolli (eds), Remote Sensing of Clouds and the Atmosphere XXX., 136680I, Proceedings of SPIE - The International Society for Optical Engineering, vol. 13668, SPIE, 30th Remote Sensing of Clouds and the Atmosphere, Madrid, Spain, 16/09/25. https://doi.org/10.1117/12.3068951

Development of an air quality dashboard using Sentinel-5P data. / Shikwambana, Lerato; Kganyago, Mahlatse; Mbatha, Nkanyiso et al.
Remote Sensing of Clouds and the Atmosphere XXX. ed. / Evgueni I. Kassianov; Simone Lolli. SPIE, 2025. 136680I (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 13668).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2025/10/29

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N2 - Limited ground station data hinders air quality monitoring, but satellite data offers a reliable alternative for tracking pollutants. This study presents an operational system for monitoring air quality in South Africa using Sentinel-5P data for sulphur dioxide (SO2), nitrogen dioxide (NO2), and carbon monoxide (CO), alongside particulate matter (PM2.5 and PM10) data from the Copernicus Atmosphere Monitoring Service (CAMS). These datasets are processed in Google Earth Engine (GEE) and integrated into a web server via APIs. We display the spatial Air Quality Index (AQI) across South Africa during winter, highlight AQI pollutant contributions, and provide a PM2.5 time series for the Johannesburg region. We also introduce the ongoing development of a web-service dashboard, currently incorporating SO2, NO2, and CO data, with plans to include PM data. This dashboard, still in progress but on track, will support decision-makers, scientists, and authorities in monitoring air quality effectively.

AB - Limited ground station data hinders air quality monitoring, but satellite data offers a reliable alternative for tracking pollutants. This study presents an operational system for monitoring air quality in South Africa using Sentinel-5P data for sulphur dioxide (SO2), nitrogen dioxide (NO2), and carbon monoxide (CO), alongside particulate matter (PM2.5 and PM10) data from the Copernicus Atmosphere Monitoring Service (CAMS). These datasets are processed in Google Earth Engine (GEE) and integrated into a web server via APIs. We display the spatial Air Quality Index (AQI) across South Africa during winter, highlight AQI pollutant contributions, and provide a PM2.5 time series for the Johannesburg region. We also introduce the ongoing development of a web-service dashboard, currently incorporating SO2, NO2, and CO data, with plans to include PM data. This dashboard, still in progress but on track, will support decision-makers, scientists, and authorities in monitoring air quality effectively.

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AN - SCOPUS:105024696992

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Development of an air quality dashboard using Sentinel-5P data

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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