Aerosol Optical Depth (AOD) is a key parameter in defining the characteristics of atmospheric aerosols, evaluating pollution, and studying aerosol radiative climate effects. However, large amount AOD data obtained by satellite remote sensing are missing due to cloud cover other factors. To obtain with continuous distribution space, this study considers spatial temporal correlation proposes spat...

Aerosol robotic network (AERONET) data from Dongsha Island (20.699N, 116.729E) and Taiping (35.90N, 3.03W) over the South China Sea (SCS) January 2018 to December 2020 were used analyze discuss temporal evolution properties of aerosols in Sea. Surrounding AERONET stations (Hong Kong, NSPO, Nha Trang Singapore) also regional characteristics. High aerosol loads strongly associated with anthropoge...

The present study investigates aerosols distributions and a strong Sahara dust-storm event that occurred by early August 2018, in the South of Morocco. We used columnar aerosol optical depth (AOD), Angstrom Exponent (AE) volume size (VSD) as derived from ground-based observations 2 AERONET (AErosol RObotic NETwork) sun-photometers at Saada (31.63°N, 8.16°W) Ouarzazate (30.93°N, 6.91°W) sites, o...

Determining land surface reflectance (LSR) is important for satellite retrieval of aerosol optical depth (AOD). Many studies have focused on the development AOD through using different determination algorithms. However, there still lack a comprehensive comparison among those In this study, algorithms with assumptions were compared and analyzed Advanced Himawari Imager (AHI) data. The results de...