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

• Published in: Remote Sensing
• Main Authors: Lin Sun, Jing Wei, Muhammad Bilal, Xinpeng Tian, Chen Jia, Yamin Guo, Xueting Mi
• Format: Text
• Language: English
• Published: Multidisciplinary Digital Publishing Institute 2015
• Subjects: AOD; bright surfaces; Landsat 8 OLI; AERONET; MOD04; Aerosol Robotic Network
• Online Access: https://doi.org/10.3390/rs8010023

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.