DocumentCode
575899
Title
Uncertainty from Lambertian surface assumption in satellite aerosol retrieval
Author
Yang, Leiku ; Xue, Yong ; Li, Yingjie ; Li, Chi ; Guang, Jie ; He, Xingwei ; Dong, Jing ; Hou, Tingting
Author_Institution
Sch. of Geogr., Beijing Normal Univ., Beijing, China
fYear
2012
fDate
22-27 July 2012
Firstpage
3662
Lastpage
3665
Abstract
The retrieval of aerosol properties over land is more complicated due to the relatively strong contribution of the land surface reflectance to the radiation measured at the top-of-atmosphere (TOA). Another problem caused by the anisotropic earth surface which is a second order effect, can create systematic biases in the aerosol retrieval. But the simple Lambertian surface assumption is still widely used in most aerosol retrieval algorithms for the single satellite view. In this paper, radiative transfer simulations with coupling surface-atmosphere are employed to assess how much uncertainties are introduced from the Lambertian surface assumption in satellite aerosol optical depth (AOD) retrieval. The result shows that it has great impacts on aerosol retrieval especially at lower aerosol loading. The uncertainties mainly depend on the anisotropy of the target. The more difference lies between the reflectance along observing direction and the average ´ reflectance ρ̅t, ρ̅t, ρt of the whole BRDF surface, the larger error happens in aerosol retrieval.
Keywords
aerosols; artificial satellites; radiative transfer; reflectivity; remote sensing; uncertainty handling; AOD retrieval; BRDF surface; Lambertian surface assumption; aerosol properties; anisotropic Earth surface; land surface reflectance; lower aerosol loading; radiative transfer simulations; satellite aerosol optical depth; satellite aerosol retrieval; surface-atmosphere coupling; systematic biases; top-of-atmosphere radiation; uncertainty; Aerosols; Land surface; Mathematical model; Reflectivity; Satellites; Sea surface; Uncertainty; BRDF surface; Lambertian surface; Uncertainty; aerosol optical depth (AOD); simulations;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6350622
Filename
6350622
Link To Document