%0 Journal Article
%T HJ-1 terrestrial aerosol data retrieval using deep blue algorithm<br>利用深蓝算法从HJ-1数据反演陆地气溶胶
%A WANG Zhongting
%A LI Qing
%A WANG Qiao
%A LI Shenshen
%A CHEN Liangfu
%A ZHOU Chunyan
%A ZHANG Lijuan
%A XU Yongjun
%A <br>王中挺
%A 厉青
%A 王桥
%A 李莘莘
%A 陈良富
%A 周春艳
%A 张丽娟
%A 徐拥军
%J 遥感学报
%D 2012
%I 
%X 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.
%K aerosol
%K HJ-1
%K deep blue
%K AERONET/PHOTONS<br>气溶胶
%K 环境一号卫星
%K 深蓝算法
%K AERONET/PHOTONS
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=C8C3724E4E2B01E678A2DD28616BDF54&yid=99E9153A83D4CB11&vid=7801E6FC5AE9020C&iid=38B194292C032A66&sid=6341CCF6B158C5F9&eid=44E78A5D1B37D836&journal_id=1007-4619&journal_name=遥感学报&referenced_num=0&reference_num=21