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 reflectance is built from MODerate-resolution Imaging Spectroradiometer (MODIS) spectral reflectance product. Second
after analyzing relationship between CCD camera reflectance and MODIS
the reflectance 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 pour le 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 influence the results.
YAN Xiaoxi 中国科学院空天信息创新研究院 生态环境部卫星遥感重点实验室&遥感与数字地球全国重点实验室
相关机构
Satellite Environment Center, Ministry of Environmental Protection
State key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth of Chinese Academy
University of Chinese Academy of Sciences
State Key Laboratory of Spatial Datum, College of Remote Sensing and Geoinformatics Engineering, Faculty of Geographical Science and Engineering, Henan University
State Key Laboratory of Remote Sensing and Digital Earth & Key Laboratory of Satellite Remote Sensing of Ministry of Ecology and Environment, Aerospace Information Research Institute, Chinese Academy of Sciences