Quantitative retrieval of aerosol optical thickness from FY-2 VISSR data

Linyan Bai; Yong Xue; Chunxiang Cao; Jianzhong Feng; Hao Zhang; Jie Guang; Ying Wang; Yingjie Li; Linlu Mei; Jianwen Ai

doi:10.1117/12.872969

3 November 2010 Quantitative retrieval of aerosol optical thickness from FY-2 VISSR data

Linyan Bai, Yong Xue, Chunxiang Cao, Jianzhong Feng, Hao Zhang, Jie Guang, Ying Wang, Yingjie Li, Linlu Mei, Jianwen Ai

Proceedings Volume 7840, Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality; 784022 (2010) https://doi.org/10.1117/12.872969
Event: The Sixth International Symposium on Digital Earth, 2009, Beijing, China

Abstract

Atmospheric aerosol, as particulate matter suspended in the air, exists in a variety of forms such as dust, fume and mist. It deeply affects climate and land surface environment in both regional and global scales, and furthermore, lead to be hugely much influence on human health. For the sake of effectively monitoring it, many atmospheric aerosol observation networks are set up and provide associated informational services in the wide world, as well-known Aerosol robotic network (AERONET), Canadian Sunphotometer Network (AeroCan) and so forth. Given large-scale atmospheric aerosol monitoring, that satellite remote sensing data are used to inverse aerosol optical depth is one of available and effective approaches. Nowadays, special types of instruments aboard running satellites are applied to obtain related remote sensing data of retrieving atmospheric aerosol. However, atmospheric aerosol real-timely or near real-timely monitoring hasn't been accomplished. Nevertheless, retrievals, using Fengyun-2 VISSR data, are carried out and the above problem resolved to certain extent, especially over China. In this paper, the authors have developed a new retrieving model/mode to retrieve aerosol optical depth, using Fengyun-2 satellite data that were obtained by the VISSR aboard FY-2C and FY-2D. A series of the aerosol optical depth distribution maps with high time resolution were able to obtained, is helpful for understanding the forming mechanism, transport, influence and controlling approach of atmospheric aerosol.

Citation Download Citation

Linyan Bai, Yong Xue, Chunxiang Cao, Jianzhong Feng, Hao Zhang, Jie Guang, Ying Wang, Yingjie Li, Linlu Mei, and Jianwen Ai "Quantitative retrieval of aerosol optical thickness from FY-2 VISSR data", Proc. SPIE 7840, Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality, 784022 (3 November 2010); https://doi.org/10.1117/12.872969

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available