Remote sensing of particulate matter concentrations over the United Arab Emirates (UAE)

Jun Zhao; Marouane Temimi; Fahad Mohammad Saeed Hareb; Iyasu Eibedingil

doi:10.1109/IGARSS.2016.7730498

Remote sensing of particulate matter concentrations over the United Arab Emirates (UAE)

Jun Zhao
, Marouane Temimi
, Fahad Mohammad Saeed Hareb
, Iyasu Eibedingil

Department of Civil, Environmental and Ocean Engineering

Khalifa University of Science and Technology

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

Abstract

In this study, a regional algorithm to retrieve particulate matter (PM) concentrations (PM_2.5 and PM₁₀) from satellite-derived aerosol optical depth (AOD) over the United Arab Emirates (UAE) is developed. Comparisons between in situ measured and estimated PM concentrations indicate good accuracy of the established algorithm. PM concentrations calculated from the proposed algorithm indicate high values in summer and low value in winter. Estimated and in situ measured PM concentrations were higher in 2015 than 2014. Remote sensing can reveal and backtrack the seasonality of PM concentrations and provide important information on the variations of air quality and protection of human health.

Original language	English
Title of host publication	2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
Pages	5733-5736
Number of pages	4
ISBN (Electronic)	9781509033324
DOIs	https://doi.org/10.1109/IGARSS.2016.7730498
State	Published - 1 Nov 2016
Event	36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Beijing, China Duration: 10 Jul 2016 → 15 Jul 2016

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2016-November

Conference

Conference	36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
Country/Territory	China
City	Beijing
Period	10/07/16 → 15/07/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Arabian Gulf
Landsat 8
remote sensing
salinity

Access to Document

10.1109/IGARSS.2016.7730498

Cite this

Zhao, J., Temimi, M., Hareb, F. M. S., & Eibedingil, I. (2016). Remote sensing of particulate matter concentrations over the United Arab Emirates (UAE). In 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings (pp. 5733-5736). Article 7730498 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2016-November). https://doi.org/10.1109/IGARSS.2016.7730498

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title = "Remote sensing of particulate matter concentrations over the United Arab Emirates (UAE)",

abstract = "In this study, a regional algorithm to retrieve particulate matter (PM) concentrations (PM2.5 and PM10) from satellite-derived aerosol optical depth (AOD) over the United Arab Emirates (UAE) is developed. Comparisons between in situ measured and estimated PM concentrations indicate good accuracy of the established algorithm. PM concentrations calculated from the proposed algorithm indicate high values in summer and low value in winter. Estimated and in situ measured PM concentrations were higher in 2015 than 2014. Remote sensing can reveal and backtrack the seasonality of PM concentrations and provide important information on the variations of air quality and protection of human health.",

keywords = "Arabian Gulf, Landsat 8, remote sensing, salinity",

author = "Jun Zhao and Marouane Temimi and Hareb, \{Fahad Mohammad Saeed\} and Iyasu Eibedingil",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 ; Conference date: 10-07-2016 Through 15-07-2016",

year = "2016",

month = nov,

day = "1",

doi = "10.1109/IGARSS.2016.7730498",

language = "English",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

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Zhao, J, Temimi, M, Hareb, FMS & Eibedingil, I 2016, Remote sensing of particulate matter concentrations over the United Arab Emirates (UAE). in 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings., 7730498, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2016-November, pp. 5733-5736, 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016, Beijing, China, 10/07/16. https://doi.org/10.1109/IGARSS.2016.7730498

Remote sensing of particulate matter concentrations over the United Arab Emirates (UAE). / Zhao, Jun; Temimi, Marouane; Hareb, Fahad Mohammad Saeed et al.
2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings. 2016. p. 5733-5736 7730498 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2016-November).

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

TY - GEN

T1 - Remote sensing of particulate matter concentrations over the United Arab Emirates (UAE)

AU - Zhao, Jun

AU - Temimi, Marouane

AU - Hareb, Fahad Mohammad Saeed

AU - Eibedingil, Iyasu

PY - 2016/11/1

Y1 - 2016/11/1

N2 - In this study, a regional algorithm to retrieve particulate matter (PM) concentrations (PM2.5 and PM10) from satellite-derived aerosol optical depth (AOD) over the United Arab Emirates (UAE) is developed. Comparisons between in situ measured and estimated PM concentrations indicate good accuracy of the established algorithm. PM concentrations calculated from the proposed algorithm indicate high values in summer and low value in winter. Estimated and in situ measured PM concentrations were higher in 2015 than 2014. Remote sensing can reveal and backtrack the seasonality of PM concentrations and provide important information on the variations of air quality and protection of human health.

AB - In this study, a regional algorithm to retrieve particulate matter (PM) concentrations (PM2.5 and PM10) from satellite-derived aerosol optical depth (AOD) over the United Arab Emirates (UAE) is developed. Comparisons between in situ measured and estimated PM concentrations indicate good accuracy of the established algorithm. PM concentrations calculated from the proposed algorithm indicate high values in summer and low value in winter. Estimated and in situ measured PM concentrations were higher in 2015 than 2014. Remote sensing can reveal and backtrack the seasonality of PM concentrations and provide important information on the variations of air quality and protection of human health.

KW - Arabian Gulf

KW - Landsat 8

KW - remote sensing

KW - salinity

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DO - 10.1109/IGARSS.2016.7730498

M3 - Conference contribution

AN - SCOPUS:85007483168

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 5733

EP - 5736

BT - 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings

T2 - 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016

Y2 - 10 July 2016 through 15 July 2016

ER -

Remote sensing of particulate matter concentrations over the United Arab Emirates (UAE)

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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