The ground-based lidar combined with sunphotometer for aerosol optical depth retrieval

Feiyue Mao; Wei Gong; Zhongmin Zhu; Pingxiang Li

doi:10.1117/12.813083

3 November 2008 The ground-based lidar combined with sunphotometer for aerosol optical depth retrieval

Feiyue Mao, Wei Gong, Zhongmin Zhu, Pingxiang Li

Proceedings Volume 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments; 71452R (2008) https://doi.org/10.1117/12.813083
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

Abstract

Aerosol particles are important components of the earth-atmosphere system, not only affecting atmospheric visibility of the earth's surface from space, but also be an important element to the occurrence of cloud that aerosol particles serve as the primary source of cloud condensation nuclei(CCN). Remote sensing of aerosol properties from space/satellite can reveal the tendency of temporal-spatial distribution in global scale, however, whose precision can't satisfy the request of quantitative remote sensing. Thus, in this paper proposes the method combined sunphotometer (passive measurements) and Lidar (active remote sensing measurements) developed by Wuhan University to retrieve the aerosol optical depth. The primary results show that the proposed method improved the precision of aerosol optical depth effectively. Furthermore, long-term atmospheric and aerosol data could be obtained by consecutive Lidar and sunphotometer observations. Also these data will be used for emending the existing atmospheric model and aerosol type, and make them more compliant for China area application.

Citation Download Citation

Feiyue Mao, Wei Gong, Zhongmin Zhu, and Pingxiang Li "The ground-based lidar combined with sunphotometer for aerosol optical depth retrieval", Proc. SPIE 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments, 71452R (3 November 2008); https://doi.org/10.1117/12.813083

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