Research on Dark Dense Vegetation algorithm based on environmental satellite CCD DATA

Operational global quantitative retrievals of aerosol have been made from Moderate Resolution Imaging Spectrometer (MODIS) data for several years by NASA EOS teams. Dark Dense Vegetation (DDV) algorithm has shown excellent competence at aerosol distribution and properties over land. In Sep. 2008, China successfully launched environmental satellite and received Charge Coupled Device (CCD) sensor data, it will provide a new way to monitor aerosol optical thickness (AOT) and distribution at a higher resolution (30 m * 30 m). According to DDV algorithm and HJ-1-CCD camera characters, we measured different surface reflectance spectra in Beijing and Pearl River Delta areas, then ascertained NDVI value and the surface reflectance radio between HJ-1-CCD red and blue band. This paper introduces the aerosol retrieval process including lookup table establishing, cloud detection and so on; Finally, the retrieved AOTs were validated by ground measurement and compared by MODIS aerosol products.