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Aerosol Optical Depth Retrieval over Bright Areas Using Landsat 8 OLI Images

Geomatics College, Shandong University of Science and Technology, Shandong, Qingdao 266590, China
Department of Land Surveying and Geo-Informatics, the Hong Kong Polytechnic University, Hung Hom, Kowloon 999077, Hong Kong
School of Geography, Beijing Normal University, Beijing 100875, China
Author to whom correspondence should be addressed.
Academic Editors: Alexander A. Kokhanovsky and Prasad S. Thenkabail
Remote Sens. 2016, 8(1), 23;
Received: 30 June 2015 / Revised: 22 December 2015 / Accepted: 25 December 2015 / Published: 31 December 2015
(This article belongs to the Special Issue Aerosol and Cloud Remote Sensing)
PDF [7039 KB, uploaded 31 December 2015]


Conventional methods for Aerosol Optical Depth (AOD) retrieval are limited to areas with low reflectance such as water or vegetated areas because the satellite signals from the aerosols in these areas are more obvious than those in areas with higher reflectance such as urban and sandy areas. Land Surface Reflectance (LSR) is the key parameter that must be estimated accurately. Most current methods used to estimate AOD are applicable only in areas with low reflectance. It has historically been difficult to estimate the LSR for bright surfaces because of their complex structure and high reflectance. This paper provides a method for estimating LSR for AOD retrieval in bright areas, and the method is applied to AOD retrieval for Landsat 8 Operational Land Imager (OLI) images at 500 m spatial resolution. A LSR database was constructed with the MODerate-resolution Imaging Spectroradiometer (MODIS) surface reflectance product (MOD09A1), and this database was also used to estimate the LSR of Landsat 8 OLI images. The AOD retrieved from the Landsat 8 OLI images was validated using the AOD measurements from four AErosol RObotic NETwork (AERONET) stations located in areas with bright surfaces. The MODIS AOD product (MOD04) was also compared with the retrieved AOD. The results demonstrate that the AOD retrieved with the new algorithm is highly consistent with the AOD derived from ground measurements, and its precision is better than that of MOD04 AOD products over bright areas. View Full-Text
Keywords: AOD; bright surfaces; Landsat 8 OLI; AERONET; MOD04 AOD; bright surfaces; Landsat 8 OLI; AERONET; MOD04

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Sun, L.; Wei, J.; Bilal, M.; Tian, X.; Jia, C.; Guo, Y.; Mi, X. Aerosol Optical Depth Retrieval over Bright Areas Using Landsat 8 OLI Images. Remote Sens. 2016, 8, 23.

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