An Improved DDV Algorithm for the Retrieval of Aerosol Optical Depth From NOAA/AVHRR Data

Aerosol Optical Depth (AOD) is one of the important parameters to characterize physical properties atmospheric aerosol, which used describe extinction characteristics and also calculate aerosol content, assess degree air pollution study climate effect. To historical change in long-time series, advanced very high resolution radiometer (AVHRR) data earliest for research was this study. Due lack shortwave infrared (SWIR) (center at 2.13 µm) sensor, relationship between blue red bands with SWIR cannot be provided, visible band normalized difference vegetation index (NDVI) contains wavelength range green, it difficult accurate land surface reflectance (LSR). Therefore, based on Dense Dark Vegetation algorithm (DDV), we propose introduce mature MODIS products (MYD13) correct AVHRR NDVI, support estimation LSR, determine corrected NDVI carry out retrieval. The results show that about 63% are within error line, there a consistent distribution trend inter-comparison validation (MYD04).