Please use this identifier to cite or link to this item:
|Title:||Retrieval of Surface Albedo from Satellite Sensors|
|Authors:||SCHAAF Crystal; MARTONCHIK John; PINTY Bernard; GOVAERTS Yves; GAO Feng; LATTANZIO Alessio; LIU Jicheng; STRAHLER Alan; TABERNER Malcolm|
|Publisher:||Springer Science+Business Media B.V.|
|JRC Publication N°:||JRC48126|
|ISBN:||978-1-4020-6449-4 (Print) 978-1-4020-6450-0 (Online)|
|Type:||Articles in books|
|Abstract:||The availability of a diverse set of directional observations sampling the viewing hemisphere over a particular land surface can effectively capture its surface anisotropy and thus be used to accurately compute the surface albedo of that surface. While numerous samples may be possible in the field or laboratory, remotely sensed retrieval methods based on data from individual satellites usually must suffice with a limited number of directional reflectances of the surface, and the producers of such data sets must acknowledge that these observations may not necessarily represent a well-distributed sampling (Privette, 1997). Therefore a model is usually adopted to characterize the surface anisotropy ¿ a model which can be inverted with a finite set of angular samples and then be used to predict surface reflectance in any sun-view geometry and derive surface albedo (Roujean et al., 1992; Walthall et al., 1985; Rahman et al., 1993; Engelsen et al., 1996; Wanner et al., 1997, Pinty et al., 2000a, Bréon et al., 2002; Maignan et al., 2004).|
|JRC Institute:||Institute for Environment and Sustainability|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.