Aerosol retrieval algorithm for the characterization of local aerosol using MODIS L1B data

8th International Symposium of the Digital Earth

地球科学;计算机科学

Wahab, A.M.^1 ; Sarker, M.L.R.^1,2

Department of Geoinformation, Universiti Teknologi Malaysia, Malaysia^1

Department of Geography and Environmental Studies, University of Rajshahi, Bangladesh^2

关键词: Accurate estimation;    Aerosol optical depths;    Aerosol retrieval algorithms;    High spatial resolution;    Moderate resolution imaging spectroradiometer datum;    Retrieval algorithms;    Spatial resolution;    Surface reflectance;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/18/1/012098/pdf
DOI  :  10.1088/1755-1315/18/1/012098

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Atmospheric aerosol plays an important role in radiation budget, climate change, hydrology and visibility. However, it has immense effect on the air quality, especially in densely populated areas where high concentration of aerosol is associated with premature death and the decrease of life expectancy. Therefore, an accurate estimation of aerosol with spatial distribution is essential, and satellite data has increasingly been used to estimate aerosol optical depth (AOD). Aerosol product (AOD) from Moderate Resolution Imaging Spectroradiometer (MODIS) data is available at global scale but problems arise due to low spatial resolution, time-lag availability of AOD product as well as the use of generalized aerosol models in retrieval algorithm instead of local aerosol models. This study focuses on the aerosol retrieval algorithm for the characterization of local aerosol in Hong Kong for a long period of time (2006-2011) using high spatial resolution MODIS level 1B data (500 m resolution) and taking into account the local aerosol models. Two methods (dark dense vegetation and MODIS land surface reflectance product) were used for the estimation of the surface reflectance over land and Santa Barbara DISORT Radiative Transfer (SBDART) code was used to construct LUTs for calculating the aerosol reflectance as a function of AOD. Results indicate that AOD can be estimated at the local scale from high resolution MODIS data, and the obtained accuracy (ca. 87%) is very much comparable with the accuracy obtained from other studies (80%-95%) for AOD estimation.