Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/26753
Title: Validation of a Simplified Aerosol Retrieval Algorithm (SARA) over Beijing
Authors: Nichol, J 
Bilal, M
Keywords: AERONET
AOD
Dust storm
MODIS
Urban surfaces
Issue Date: 2014
Publisher: Asian Association on Remote Sensing
Source: 35th Asian Conference on Remote Sensing 2014, ACRS 2014: Sensing for Reintegration of Societies, 2014, v. 50, no. 3, p. 1257-1266 How to cite?
Abstract: Simplified Aerosol Retrieval Algorithm (SARA) retrieves aerosol optical depth (AOD) by incorporating a wide range of aerosol types (= 0.30-1.0) and independent of the common technique of constructing a look-up-table (LUT). In this study, the SARA AOD was retrieved at 500 m resolution using MODerate resolution Imaging Spectroradiometer (MODIS) data products (MOD02, MOD03, and MOD09) and local AErosol RObotic NETwork (AERONET) site "Beijing" over urban areas of Beijing for the year 2010. For the comparison purposes, the MODIS Dark-Target (DT) AOD observations at 10 km resolution were obtained from MODIS Collection 5.1 (C5.1) aerosol product for the same time period. The retrieved AOD observations from both algorithms (SARA and DT) were validated against Beijing-RADI AERONET AOD measurements and the data quality was evaluated using the Confidence Envelope of Expected Error (CEEE). The SARA algorithm achieved better data quality of 98.08% with higher correlation (R ∼ 0.990) than the MODIS DT algorithm with very poor data quality of 31% with lower correlation (R ∼ 0.946). Data quality was also evaluated for low (AOD < 0.40) to high (AOD > 0.40) aerosol loadings using CEEE and as a result the SARA algorithm achieved 67-69% better data quality than MODIS DT algorithm. The results demonstrate that the SARA algorithm is better than MODIS DT algorithm to retrieved AOD over Beijing under low to high aerosol loadings, including dust storms.
Description: 35th Asian Conference on Remote Sensing 2014: Sensing for Reintegration of Societies, ACRS 2014, Myanmar, 27-31 October 2014
URI: http://hdl.handle.net/10397/26753
ISSN: 0022-2461
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