Comparison of two methods for aerosol optical depth retrieval over North Africa from MSG/SEVIRI data

Guang, Jie, Xue, Yong, Roujean, Jean-Louis, Carrer, Dominique, Ceamanos, Xavier, Li, Chi, Mei, Linlu, Liu, Jia and Xu, Hui (2014) Comparison of two methods for aerosol optical depth retrieval over North Africa from MSG/SEVIRI data. In: 2014 IEEE Geoscience and Remote Sensing Symposium, 13-18 July 2014, Quebec City, Canada.

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Abstract / Description

A comparison between the algorithm for Land Aerosol property and Bidirectional reflectance Inversion by Time Series technique (LABITS) and a daily estimation of aerosol optical depth (AOD) algorithm (AERUS-GEO) over land surface using MSG/SEVIRI data over North Africa is presented. To obtain indications about the quantitative performance of two AOD retrieval methods mentioned above, daily SEVIRI AOD values is considered with respect to those measured from the global aerosol-monitoring Aerosol Robotic Network (AERONET) data. The correlation coefficient (R2) between retrieved SEVIRI AOD at 650 nm from the AERUS-GEO algorithm and the AERONET Level 2.0 daily average AOD at 675 nm is 0.80 and root mean square error (RMSE) is 0.044, and R2 between retrieved AOD from the LABITS algorithm and AERONET AOD is 0.80 and RMSE is 0.037.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Aerosol optical depth; LABITS; AERUS-GEO; MSG SEVIRI; North Africa
Subjects:	000 Computer science, information & general works
Department:	School of Computing and Digital Media
Depositing User:	Bal Virdee
Date Deposited:	21 Feb 2019 16:27
Last Modified:	21 Feb 2019 16:27
URI:	https://repository.londonmet.ac.uk/id/eprint/4639

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