Title
Mapping Surface Broadband Albedo from Satellite Observations: A Review of Literatures on Algorithms and Products
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.
Year
DOI
Venue
2015
10.3390/rs70100990
REMOTE SENSING
Keywords
Field
DocType
surface albedo,Bidirectional Reflectance Distribution Function (BRDF),remote sensing,surface energy budget,Global Land Surface Satellite (GLASS)
Bidirectional reflectance distribution function,Meteorology,Global warming,Satellite,Climate change,Remote sensing,Algorithm,Albedo,Broadband,Geology,Temporal resolution,Geostationary orbit
Journal
Volume
Issue
Citations 
7
1
10
PageRank 
References 
Authors
1.19
24
6
Name
Order
Citations
PageRank
Ying Qu1423.46
Shunlin Liang2611116.22
qiang liu3101.19
Tao He4538.30
Su-Hong Liu57920.10
Xiaowen Li611929.28