DocumentCode
24756
Title
An Improved Land-Surface Albedo Algorithm With DEM in Rugged Terrain
Author
Jianguang Wen ; Xiaojie Zhao ; Qiang Liu ; Yong Tang ; Baocheng Dou
Author_Institution
State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing & Digital Earth, Beijing, China
Volume
11
Issue
4
fYear
2014
fDate
Apr-14
Firstpage
883
Lastpage
887
Abstract
The influence of topography on land-surface bidirectional reflectance and albedo should be considered in rugged terrain. However, land-surface albedo algorithms neglect topographic effects, leading to errors in estimating the albedo in rugged terrain. This letter investigates the Angular Bin (AB) algorithm of land-surface albedo and shows that it should be improved when albedo is estimated in rugged terrain. The Terrain AB (TAB), an improved algorithm for albedo estimation with the AB algorithm and digital elevation model (DEM) data set, is presented in this letter. The accuracy and performance of the TAB algorithm was investigated by using the simulated DEM and Bidirectional Reflectance Function as well as the MODIS daily reflectance of the Heihe River Basin. The results show that the TAB algorithm has a better albedo estimation performance in rugged terrain and gives an acceptable accuracy.
Keywords
albedo; digital elevation models; terrain mapping; topography (Earth); China; Heihe River Basin; MODIS daily reflectance; albedo estimation performance; angular bin algorithm; bidirectional reflectance function; digital elevation model data set; improved land-surface albedo algorithm; land-surface bidirectional reflectance; rugged terrain; simulated DEM; topographic effects; Accuracy; Estimation; Land surface; MODIS; Remote sensing; Surface topography; Angular Bin (AB) algorithm; Terrain AB (TAB) algorithm; land-surface albedo; rugged terrain; topographic effects;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2013.2280696
Filename
6609033
Link To Document