A Dual-Channel Aerosol Optical Depth Retrieval Algorithm Incorporating the BRDF Effect from AVHRR over Eastern Asia

Aerosol Optical Depth Retrieval over Land from Noaa Avhrr: Sensitivity Studies

The large archive of NOAA AVHRR data, covering more than 25 years, bears the potential to detect aerosol trends. However, remote sensing of aerosol optical depth over land is a difficult task, because the aerosol signal gets weaker over bright surface targets and the quality of the retrieval mainly depends on the quality of the surface reflectance estimate. In this study, we test the sensitivit...

Retrieval of aerosol optical depth over land surfaces from AVHRR data

The Advanced Very High Resolution Radiometer (AVHRR) provides a global, long-term, consistent time series of radiance data in several wavebands which are used for the retrieval of surface spectral reflectance, albedo and surface temperature. Long-term time series of such data products are necessary for studies addressing climate change, sea ice distribution and movement, and ice sheet coastal c...

Reprint 933 Retrieval of Aerosol Optical Depth from Geostationary Satellite, MTSAT-1R, over East Asia

MODIS Retrieval of Aerosol Optical Depth over Turbid Coastal Water

We present a new approach to retrieve Aerosol Optical Depth (AOD) using the Moderate Resolution Imaging Spectroradiometer (MODIS) over the turbid coastal water. This approach supplements the operational Dark Target (DT) aerosol retrieval algorithm that currently does not conduct AOD retrieval in shallow waters that have visible sediments or sea-floor (i.e., Class 2 waters). Over the global coas...

Validation of MODIS aerosol optical depth retrieval over land

[1] Aerosol optical depths (ta) are derived operationally for the first time from the MODIS (Moderate Resolution Imaging Spectroradiometer) measurements over vegetated and partially vegetated land at 0.47 and 0.66 mm wavelengths. The extensive validation made during July – September 2000 encompasses 315 co-located ta in space and time derived by MODIS and AERONET (Aerosol Robotic Network) from ...