Particulate matter (pm10) monitoring in the United Arab Emirates using a satellite remote sensing based model Article Swipe
Aisha Al Suwaidi
,
Tarig Ali
,
Serter Atabay
,
Mohamed Salah Singer
,
Ahmed Elaksher
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-3287596/v1
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-3287596/v1
Particulate matter (PM) is one of the major factors causing air pollution, which is considered a concern for human health. Hence, measuring and monitoring the concentrations of these particles is essential. In this study, the main objective is to develop a remote sensing based PM10 monitoring model for the United Arab Emirates (UAE) using Landsat 8 imagery. Landsat 8 images acquired during the four-year period from 2016–2020 were obtained and used along with PM10 data collected at 16 ground monitoring stations corresponding to the acquisition of the satellite data. The Landsat 8 data was obtained from the United States Geological Survey (USGS) Core Science Systems in the form of Digital Numbers (DNs). The DNs of the four optical bands of Landsat 8 were then converted to top of the atmosphere reflectance (TOA) through radiometric processing, and then used to estimate the Aerosol Optical Thickness. A spectral PM10 model was then developed through regression analysis, correlating AOT to PM10 values obtained at the ground stations. The model provided an R-squared value of 62% and a Root Mean Square Error (RMSE) of 17.67 µg/m3. The results suggest that the developed model is robust in estimating PM10 values and can therefore be used for satellite-based monitoring at any location in the UAE.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-3287596/v1
- https://www.researchsquare.com/article/rs-3287596/latest.pdf
- OA Status
- green
- References
- 37
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387047396
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4387047396Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.21203/rs.3.rs-3287596/v1Digital Object Identifier
- Title
-
Particulate matter (pm10) monitoring in the United Arab Emirates using a satellite remote sensing based modelWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-09-26Full publication date if available
- Authors
-
Aisha Al Suwaidi, Tarig Ali, Serter Atabay, Mohamed Salah Singer, Ahmed ElaksherList of authors in order
- Landing page
-
https://doi.org/10.21203/rs.3.rs-3287596/v1Publisher landing page
- PDF URL
-
https://www.researchsquare.com/article/rs-3287596/latest.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.researchsquare.com/article/rs-3287596/latest.pdfDirect OA link when available
- Concepts
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Particulates, Remote sensing, Satellite, Environmental science, Aerosol, Mean squared error, Meteorology, Air pollution, Geography, Engineering, Mathematics, Statistics, Organic chemistry, Chemistry, Biology, Aerospace engineering, EcologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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37Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W3003828120, https://openalex.org/W2911658802, https://openalex.org/W2894608355, https://openalex.org/W2306844409, https://openalex.org/W2979763810, https://openalex.org/W2906510900, https://openalex.org/W2178527958, https://openalex.org/W2396428021, https://openalex.org/W2264216925, https://openalex.org/W2004894699, https://openalex.org/W2792412540, https://openalex.org/W2809890541, https://openalex.org/W2012247153, https://openalex.org/W2013086173, https://openalex.org/W2137505898, https://openalex.org/W2155305805, https://openalex.org/W3096494092, https://openalex.org/W3117573952, https://openalex.org/W2604770064, https://openalex.org/W2058213690, https://openalex.org/W2901073194, https://openalex.org/W3195336548, https://openalex.org/W3007246056, https://openalex.org/W2166367114, https://openalex.org/W2911814932, https://openalex.org/W2912036162, https://openalex.org/W2043289244, https://openalex.org/W2140282454, https://openalex.org/W2981654013, https://openalex.org/W2139709933, https://openalex.org/W2604390700, https://openalex.org/W2765522536, https://openalex.org/W2898008076, https://openalex.org/W2945416264, https://openalex.org/W2203507062, https://openalex.org/W2984362552, https://openalex.org/W2792864813 |
| referenced_works_count | 37 |
| abstract_inverted_index.8 | 56, 59, 92, 122 |
| abstract_inverted_index.A | 145 |
| abstract_inverted_index.a | 16, 41, 174 |
| abstract_inverted_index.16 | 78 |
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| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5012384560 |
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| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I10052268 |
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| citation_normalized_percentile.is_in_top_10_percent | False |