Title :
A retrieval algorithm of fast aerosol optical thickness based on hyperion data
Author :
Zhao Sheng-bing ; Li Yun-peng
Author_Institution :
Jiangxi Provincial Basic Surveying & Mapping Inst., Nanchang, China
Abstract :
Aerosol is considered as an important parameter of global climate change, and an indispensable parameter for performing quantitative remote sensing. This paper retrieved aerosol optical thickness (AOT) using Hyperion hyperspectral data with few parameters from synchronous atmospheric measurement. The results showed that AOT retrieved presents well consistency with the data of MODIS aerosol product.
Keywords :
aerosols; atmospheric optics; climatology; radiometry; remote sensing; AOT retrieval; MODIS aerosol product data; fast aerosol optical thickness retrieval algorithm; global climate change parameter; hyperion hyperspectral data; indispensable parameter; quantitative remote sensing; synchronous atmospheric measurement; Aerosols; Atmospheric measurements; Optical reflection; Optical scattering; Optical sensors; Reflectivity; Remote sensing; Hyperion; aerosol optical thickness (AOT);
Conference_Titel :
Measurement, Information and Control (ICMIC), 2013 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-1390-9
DOI :
10.1109/MIC.2013.6757905