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

Remote Sensing

Ying Qu¹  Shunlin Liang¹  Qiang Liu¹  Tao He²  Suhong Liu¹  Xiaowen Li¹  Richard Gloaguen³ 

[1] State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China; E-Mails:;Department of Geographical Sciences, University of Maryland, College Park 20742, MD, USA; E-Mail:State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China;

关键词: surface albedo;    Bidirectional Reflectance Distribution Function (BRDF);    remote sensing;    surface energy budget;    Global Land Surface Satellite (GLASS);   

DOI  :  10.3390/rs70100990

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.