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Journal of Applied Remote Sensing • Open Access

Multiscale climatological albedo look-up maps derived from moderate resolution imaging spectroradiometer BRDF/albedo products
Author(s): Feng Gao; Tao He; Zhuosen Wang; Bardan Ghimire; Yanmin Shuai; Jeffrey G. Masek; Crystal Schaaf; Christopher Williams

Paper Abstract

Surface albedo determines radiative forcing and is a key parameter for driving Earth’s climate. Better characterization of surface albedo for individual land cover types can reduce the uncertainty in estimating changes to Earth’s radiation balance due to land cover change. This paper presents albedo look-up maps (LUMs) using a multiscale hierarchical approach based on moderate resolution imaging spectroradiometer (MODIS) bidirectional reflectance distribution function (BRDF)/albedo products and Landsat imagery. Ten years (2001 to 2011) of MODIS BRDF/albedo products were used to generate global albedo climatology. Albedo LUMs of land cover classes defined by the International Geosphere-Biosphere Programme (IGBP) at multiple spatial resolutions were generated. The albedo LUMs included monthly statistics of white-sky (diffuse) and black-sky (direct) albedo for each IGBP class for visible, near-infrared, and shortwave broadband under both snow-free and snow-covered conditions. The albedo LUMs were assessed by using the annual MODIS IGBP land cover map and the projected land use scenarios from the Intergovernmental Panel on Climate Change land-use harmonization project. The comparisons between the reconstructed albedo and the MODIS albedo data product show good agreement. The LUMs provide high temporal and spatial resolution global albedo statistics without gaps for investigating albedo variations under different land cover scenarios and could be used for land surface modeling.

Paper Details

Date Published: 5 November 2014
PDF: 15 pages
J. Appl. Rem. Sens. 8(1) 083532 doi: 10.1117/1.JRS.8.083532
Published in: Journal of Applied Remote Sensing Volume 8, Issue 1
Show Author Affiliations
Feng Gao, Agricultural Research Service (United States)
Tao He, Univ. of Maryland, College Park (United States)
Zhuosen Wang, Univ. of Massachusetts Boston (United States)
NASA Goddard Space Flight Ctr. (United States)
Bardan Ghimire, Clark Univ. (United States)
Yanmin Shuai, NASA Goddard Space Flight Ctr. (United States)
Jeffrey G. Masek, NASA Goddard Space Flight Ctr. (United States)
Crystal Schaaf, Univ. of Massachusetts Boston (United States)
Christopher Williams, Clark Univ. (United States)

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