DocumentCode :
3690418
Title :
The inter-comparison of AATSR aerosol optical depth retrievals from various algorithms
Author :
Yahui Che;Yong Xue;Hui Xu;Romas Mikusauskas;Lu She
Author_Institution :
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
2230
Lastpage :
2233
Abstract :
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.
Keywords :
"Aerosols","Satellites","Atmospheric measurements","Optical sensors","Remote sensing","Satellite broadcasting","Accuracy"
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
ISSN :
2153-6996
Electronic_ISBN :
2153-7003
Type :
conf
DOI :
10.1109/IGARSS.2015.7326249
Filename :
7326249
Link To Document :
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