The inter-comparison of AATSR aerosol optical depth retrievals from various algorithms

Che, Yahui, Xue, Yong, Xu, Hui, Mikusauskas, Romas and Lu, She (2015) The inter-comparison of AATSR aerosol optical depth retrievals from various algorithms. In: 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 26-31 July 2015, Milan, Italy.

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Abstract / Description

The project aerosol-CCI as part of European Space Agency (ESA) Climate Change Initiative (CCI) has provided three aerosol retrieval algorithms for the Advanced Along-Track Scanning Radiometer (AATSR) aboard on ENVISAT. For the purpose of estimating different performance of these three algorithms in Asia, in this paper we compared the Aerosol Optical Depth (AOD) of L2 data (10km×10km) including FMI AATSR Dual-view ADV algorithm, the Oxford RAL Aerosol and Cloud retrieval (ORAC) algorithm and the Swansea University AATSR retrieval (SU) algorithm with the AErosol RObotic NETwork (AERONET) and the China Aerosol Remote Sensing Network (CARSNET) data separately. The result shows that the algorithms of ADV and SU have good performance on the retrieval of AOD, and the ORAC algorithm has relative lower precision than other two algorithms.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	aerosol optical depth (AOD), validation, satellite remote sensing, AATSR
Subjects:	000 Computer science, information & general works
Department:	School of Computing and Digital Media
Depositing User:	Bal Virdee
Date Deposited:	21 Feb 2019 16:07
Last Modified:	21 Feb 2019 16:07
URI:	https://repository.londonmet.ac.uk/id/eprint/4634

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