HJ-1 terrestrial aerosol data retrieval using deep blue algorithm
利用深蓝算法从HJ-1数据反演陆地气溶胶

Aerosol is an important index in atmosphere monitoring. Disadvantages exist when monitoring aerosol from HJ-1 data by dark dense vegetation (DDV) or contrast reduction algorithm. In this paper, based on the algorithm which was developed by Hsu, et al.(2004), the deep blue algorithm is applied to CCD/HJ-1. First, the database of land surface refl ectance is built from MODerate-resolution Imaging Spectroradiometer (MODIS) spectral refl ectance product. Second, after analyzing relationship between CCD camera refl ectance and MODIS, the refl ectance of MODIS are corrected to CCD camera of HJ-1. Third, aerosol optical depth (AOD) is retrieved from apparent reflectance in the first band of CCD/HJ-1. Finally, AODs over Beijing area are retrieved from December 2008 to October 2009, and the results are validated by ground-based measurement of Beijing station in the PHOtométrie pourle Traitement Opérational de Normalisation Satellitaire (PHOTONS) network included in the worldwide Aerosol Robotic Network (AERONET). The validation and discussions show that, when AODs are greater than 0.5, the accuracy of deep blue algorithm can satisfy the aerosol monitoring using HJ-1 data, and aerosol model can greatly infl uence the results.