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We present a new approach to retrieve Aerosol Optical Depth (AOD) from Moderate 15 Resolution Imaging Spectroradiometer (MODIS) over the turbid coastal water. This approach 16 supplements the operational Dark Target (DT) aerosol retrieval algorithm that currently don’t 17 conduct any AOD retrieval in the regions with large water-leaving radiances in the visible spectrum. 18 Over the global coas...
Satellite-retrieved aerosol optical depth (AOD) has become an important predictor of ground-level particulate matter (PM) and greatly empowered air pollution research worldwide. We evaluated the AOD parameters included in the Collection 6 aerosol product of the Moderate Resolution Imaging Spectroradiometer (MODIS) for two key factors affecting their applications in air quality research—coverage...
[1] An extraordinary dust event over Beijing (April 2006) was followed by a synergy of lidar, Sun photometric and satellite measurements. Extreme aerosol optical depth (AOD) values (1–4) were measured by AERONET and MODIS over Beijing. The size distribution of the particles remained close to 2.5 mm and the single scattering albedo was around 0.92 ± 0.5 (440 nm). Coarse particles contributed to ...
Surface reflectance has a central role in the analysis of land surface for a broad variety of Earth System studies. An accurate atmospheric correction, obtained by an appropriate selection of aerosol model, is the first requirement for reliable surface reflectance estimation. In the aerosol model, the type is defined by the physical and chemical properties, while the loading is usually describe...
Thanks to its observational frequency of 15 min, the Meteosat Second Generation (MSG) geostationary satellite offers a great potential to monitor dust storms. To explore this potential, an algorithm for the detection and the retrieval of dust aerosol optical properties has been tested. This is a multispectral algorithm based on visible and infrared data which has been applied to 15 case studies...
[1] Aerosol optical thickness (AOT) data retrieved by the Multiangle Imaging Spectroradiometer (MISR) in 2001 were compared with AOT measurements from 16 Aerosol Robotic Network (AERONET) sites over the contiguous United States. Overall, MISR and AERONET AOTs were strongly correlated (r = 0.73). Regression analysis showed that the root mean square error (RMSE) of MISR AOT was 0.05. The overall ...
Article history: Received 15 September 2015 Received in revised form 2 December 2015 Accepted 4 December 2015 Available online 14 December 2015 With worldwide urbanization, hazy weather has been increasingly frequent, especially in the North China Plain. However, haze aerosol monitoring remains a challenge. In this paper, MODerate resolution Imaging Spectroradiometer (MODIS) measurements were u...
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