Sentinel satellite data monitoring of air pollutants with interpolation methods in Guayaquil, Ecuador Article Swipe
Danilo Mejía
,
Hermel Alvarez
,
Rasa Žalakevičiūtė
,
Diana Macancela
,
Carlos Sanchez
,
Santiago Bonilla
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.rsase.2023.100990
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.rsase.2023.100990
In Ecuador, there is a limitation on air quality monitoring due to the cost of monitoring networks. Although air quality monitoring stations are instruments for air measurement, they do not cover an entire city due to their scope. Satellite remote sensing is now an effective tool to study atmospheric pollutants and has been applied to continuously assess a region and overcome the limitations of fixed stations. Despite the application of satellite data for air quality monitoring, there are some limitations, such as measurement frequency, cloud cover and wide spatial resolution, which do not allow the assessment of air pollution in cities. Therefore, downscaling, applying interpolation methods, is essential for continuous air quality monitoring at smaller scales. For this research, Nitrogen Dioxide (NO2) data from the Sentinel-5 satellite percussor was used in the city of Guayaquil for January–December 2020, which is considered before, during and after the COVID-19 quarantine. This mid-size port city does not have a permanent monitoring network, which prevents us from knowing the air quality. Due to the limitation of pixel size, this study used satellite data to apply interpolation techniques and reduce pixels to assess air quality. Two categories of interpolation were selected: deterministic and stochastic. The empirical Bayesian kriging (EBK) interpolation obtained a R2 of 0.9546, which was superior to the other methods applied. Therefore, the EBK method had the best accuracy for tropospheric NO2 concentration. Finally, the method used in this research can help monitor air quality in cities lacking continuous monitoring networks, as the reduction of the pixel size gives us a better pattern of pollutants.
Related Topics
Concepts
Environmental science
Air quality index
Remote sensing
Satellite
Kriging
Multivariate interpolation
Interpolation (computer graphics)
Downscaling
Meteorology
Air pollution
Land cover
Computer science
Land use
Geography
Engineering
Precipitation
Organic chemistry
Chemistry
Computer vision
Machine learning
Animation
Bilinear interpolation
Aerospace engineering
Civil engineering
Computer graphics (images)
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.rsase.2023.100990
- OA Status
- hybrid
- Cited By
- 17
- References
- 82
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4377086854
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4377086854Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.rsase.2023.100990Digital Object Identifier
- Title
-
Sentinel satellite data monitoring of air pollutants with interpolation methods in Guayaquil, EcuadorWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-05-19Full publication date if available
- Authors
-
Danilo Mejía, Hermel Alvarez, Rasa Žalakevičiūtė, Diana Macancela, Carlos Sanchez, Santiago BonillaList of authors in order
- Landing page
-
https://doi.org/10.1016/j.rsase.2023.100990Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.rsase.2023.100990Direct OA link when available
- Concepts
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Environmental science, Air quality index, Remote sensing, Satellite, Kriging, Multivariate interpolation, Interpolation (computer graphics), Downscaling, Meteorology, Air pollution, Land cover, Computer science, Land use, Geography, Engineering, Precipitation, Organic chemistry, Chemistry, Computer vision, Machine learning, Animation, Bilinear interpolation, Aerospace engineering, Civil engineering, Computer graphics (images)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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17Total citation count in OpenAlex
- Citations by year (recent)
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2025: 8, 2024: 7, 2023: 2Per-year citation counts (last 5 years)
- References (count)
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82Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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