| 利用深蓝算法从HJ-1数据反演陆地气溶胶 |
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| 引用本文： | 王中挺,厉青,王桥,李莘莘,陈良富,周春艳,张丽娟,徐拥军.利用深蓝算法从HJ-1数据反演陆地气溶胶[J].遥感学报,2012,16(3):596-610. |
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| 作者姓名： | 王中挺 厉青 王桥 李莘莘 陈良富 周春艳 张丽娟 徐拥军 |
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| 作者单位： | 环境保护部 卫星环境应用中心, 北京 100094;环境保护部 卫星环境应用中心, 北京 100094;环境保护部 卫星环境应用中心, 北京 100094;中国科学院 遥感应用研究所, 北京 100101;中国科学院 遥感应用研究所, 北京 100101;环境保护部 卫星环境应用中心, 北京 100094;环境保护部 卫星环境应用中心, 北京 100094;中国地质大学(北京), 北京 100083 |
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| 基金项目： | 国家重点基础研究发展计划(973计划)(编号:2010CB950801) |
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| 摘 要： | 大气气溶胶是环境空气污染监测的重要指标,在利用环境一号卫星CCD相机进行气溶胶监测时,暗目标法和结构函数法都有相应的不足。本文从Hsu等人(2004)提出的深蓝算法出发,以MODIS的地表反射率产品为基础建立反射率库,并利用地面观测数据分析了各种典型地物在CCD相机与MODIS蓝波段反射率之间关系,提出了将MODIS地表反射率修正到CCD相机的方法,进而实现地气解耦,反演气溶胶光学厚度。选择北京地区为实验区,进行了算法实验,并用AERONET/PHOTONS北京站的数据进行了验证,结果表明,(1)光学厚度较大时(>0.5),深蓝算法精度能够较好的满足环境一号卫星CCD相机对气溶胶日常监测的要求;(2)气溶胶模式会对结果产生较大的影响,尤其是城市型气溶胶。
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| 关 键 词： | 气溶胶 环境一号卫星 深蓝算法 AERONET/PHOTONS |
| 收稿时间： | 2011/6/11 0:00:00 |
| 修稿时间： | 2011/10/12 0:00:00 |
HJ-1 terrestrial aerosol data retrieval using deep blue algorithm |
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| WANG Zhongting,LI Qing,WANG Qiao,LI Shenshen,CHEN Liangfu,ZHOU Chunyan,ZHANG Lijuan and XU Yongjun.HJ-1 terrestrial aerosol data retrieval using deep blue algorithm[J].Journal of Remote Sensing,2012,16(3):596-610. |
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| Authors: | WANG Zhongting LI Qing WANG Qiao LI Shenshen CHEN Liangfu ZHOU Chunyan ZHANG Lijuan and XU Yongjun |
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| Institution: | Satellite Environment Center, Ministry of Environmental Protection, Beijing 100094, China;Satellite Environment Center, Ministry of Environmental Protection, Beijing 100094, China;Satellite Environment Center, Ministry of Environmental Protection, Beijing 100094, China;Institute of Remote Sensing Applications of Chinese Academy of Sciences, Beijing 100101, China;Institute of Remote Sensing Applications of Chinese Academy of Sciences, Beijing 100101, China;Satellite Environment Center, Ministry of Environmental Protection, Beijing 100094, China;Satellite Environment Center, Ministry of Environmental Protection, Beijing 100094, China;China University of Geosciences, Beijing 100083, China |
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| Abstract: | 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. |
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| Keywords: | aerosol HJ-1 deep blue AERONET/PHOTONS |
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