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Remote Sens. 2015, 7(1), 990-1020; doi:10.3390/rs70100990

Mapping Surface Broadband Albedo from Satellite Observations: A Review of Literatures on Algorithms and Products

1,2,* , 1,2,3
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1,2
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3
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1,4
and
1,4
1
State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China
2
College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
3
Department of Geographical Sciences, University of Maryland, College Park 20742, MD, USA
4
School of Geography, Beijing Normal University, Beijing 100875, China
*
Author to whom correspondence should be addressed.
Academic Editors: Richard Gloaguen and Prasad S. Thenkabail
Received: 8 October 2014 / Accepted: 5 January 2015 / Published: 16 January 2015
View Full-Text   |   Download PDF [1336 KB, uploaded 21 January 2015]   |  

Abstract

Surface albedo is one of the key controlling geophysical parameters in the surface energy budget studies, and its temporal and spatial variation is closely related to the global climate change and regional weather system due to the albedo feedback mechanism. As an efficient tool for monitoring the surfaces of the Earth, remote sensing is widely used for deriving long-term surface broadband albedo with various geostationary and polar-orbit satellite platforms in recent decades. Moreover, the algorithms for estimating surface broadband albedo from satellite observations, including narrow-to-broadband conversions, bidirectional reflectance distribution function (BRDF) angular modeling, direct-estimation algorithm and the algorithms for estimating albedo from geostationary satellite data, are developed and improved. In this paper, we present a comprehensive literature review on algorithms and products for mapping surface broadband albedo with satellite observations and provide a discussion of different algorithms and products in a historical perspective based on citation analysis of the published literature. This paper shows that the observation technologies and accuracy requirement of applications are important, and long-term, global fully-covered (including land, ocean, and sea-ice surfaces), gap-free, surface broadband albedo products with higher spatial and temporal resolution are required for climate change, surface energy budget, and hydrological studies. View Full-Text
Keywords: surface albedo; Bidirectional Reflectance Distribution Function (BRDF); remote sensing; surface energy budget; Global Land Surface Satellite (GLASS) surface albedo; Bidirectional Reflectance Distribution Function (BRDF); remote sensing; surface energy budget; Global Land Surface Satellite (GLASS)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Qu, Y.; Liang, S.; Liu, Q.; He, T.; Liu, S.; Li, X. Mapping Surface Broadband Albedo from Satellite Observations: A Review of Literatures on Algorithms and Products. Remote Sens. 2015, 7, 990-1020.

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