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Comparison of Aerosol Optical Depth Products from Multi-Satellites over Densely Populated Cities of Pakistan

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Abstract:

Air pollution in Pakistan is causing damage to health, environment and quality of life. Air pollution in Pakistan is not effectively monitored due to heavy cost involved in setting up ground stations. However, Satellite remote sensing can effectively monitor the air pollution in terms of Aerosol Optical Depth (AOD) at regional as well as global level. However, algorithms used to derive AOD from different sensors have some inherited differences which can pose challenges in monitoring regional AOD at high temporal resolution using more than one sensor. Therefore, this study focuses on comparison of four major satellite based AOD products namely Moderate Resolution Imaging SpectroRadiometer (MODIS), Multi-angle Imaging SpectroRadiometer (MISR), Ozone Monitoring Instrument multiwavelength (OMI) aerosol product and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) with the ground based AErosol RObotic NETwork (AERONET) AOD which is only available from Lahore and Karachi in Pakistan. The correlation of various AOD products with AERONET AOD is estimated statistically through coefficient of determination (R2), Root Mean Square Error (RMSE), slope and intercept. It is noticed that MODIS is relatively accurate and reliable for monitoring air quality on operational bases over the land cover area of Lahore (R2 = 0.78; RMSE = 0.18 ), whereas MISR over the coastal areas of Karachi (R2 = 0.82; RMSE = 0.20 ). The results of the study will help the stakeholders in planning additional ground stations for operational monitoring of air quality at regional level.

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Periodical:

International Letters of Natural Sciences (Volume 69)

Pages:

12-24

DOI:

https://doi.org/10.56431/p-81xadi

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Online since:

June 2018

Authors:

Furqan Mahmud Butt*, Muhammad Imran Shahzad, Seemab Khalid, Nadeem Iqbal, Anjum Rasheed, Ghulam Raza

Keywords:

Aerosol Optical Depth (AOD), Aerosols, Air Pollution, Environment, Remote Sensing

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Creative Commons CC BY 4.0

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* - Corresponding Author

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