DocumentCode
576334
Title
An improved albedo algorithm using mono-angle remote sensing data in rugged terrain and preliminary validation
Author
Zhao, Xiaojie ; Liu, Qinhuo ; Wen, Jianguang ; Liu, Qiang
Author_Institution
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
fYear
2012
fDate
22-27 July 2012
Firstpage
4256
Lastpage
4259
Abstract
Albedo is essential in earth radiation budget and global climate monitoring. GLASS albedo is a newly developed global broadband land-surface albedo product with 1-km spatial resolution and 1-day temporal resolution. AB algorithm is employed to generate daily albedo product by building a linear regression relationship between narrowband directional reflectance and broadband albedo. AB algorithm avoids the restrictions on the observing angles, but suffers from the assumption that the land surface should be homogeneous and flat without terrain relief. In our research, we proposed a technique to improve AB algorithm for retrieving albedo in rugged terrain, which is called TAB algorithm. The preliminary validation using simulation data indicated that the accuracy of AB algorithm could be significantly improved when the terrain effect is considered.
Keywords
albedo; geophysical techniques; regression analysis; remote sensing; topography (Earth); GLASS albedo; TAB algorithm; daily albedo product; earth radiation budget; global broadband land-surface albedo product; global climate monitoring; improved albedo algorithm; linear regression relationship; monoangle remote sensing data; narrowband directional reflectance; observing angles; rugged terrain; simulation data; spatial resolution; temporal resolution; terrain effect; terrain relief; Broadband communication; Land surface; Remote sensing; Rough surfaces; Sun; Surface roughness; Surface topography; AB algorithm; TAB algorithm; broadband albedo; terrain relief;
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.2012.6351728
Filename
6351728
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