remote sensing
Article
Evaluation of the MODIS (C6) Daily Albedo Products for
Livingston Island, Antarctic
Alejandro Corbea-Pérez
1,
* , Javier F. Calleja
2
, Carmen Recondo
1
and Susana Fernández
3
Citation: Corbea-Pérez, A.; Calleja,
J.F.; Recondo, C.; Fernández, S.
Evaluation of the MODIS (C6) Daily
Albedo Products for Livingston
Island, Antarctic. Remote Sens. 2021,
13, 2357. https://doi.org/10.3390/
rs13122357
Academic Editor: Yi Luo
Received: 11 May 2021
Accepted: 13 June 2021
Published: 16 June 2021
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1
Remote Sensing Applications (RSApps) Research Group, Department of Mining Exploitation and
Prospecting, University of Oviedo, 33600 Mieres, Spain; mdrecondo@uniovi.es
2
Remote Sensing Applications (RSApps) Research Group, Department of Physics, University of Oviedo,
33007 Oviedo, Spain; jfcalleja@uniovi.es
3
Mathematical Modelling (MOMA) Research Group, Department of Geology, University of Oviedo,
33005 Oviedo, Spain; fernandezmsusana@uniovi.es
* Correspondence: corbeaalejandro@uniovi.es
Abstract: Although extensive research of Moderate Resolution Imaging Spectroradiometer (MODIS)
albedo data is available on the Greenland Ice Sheet, there is a lack of studies evaluating MODIS
albedo products over Antarctica. In this paper, MOD10A1, MYD10A1, and MCD43 (C6) daily albedo
products were compared with the in situ albedo data on Livingston Island, South Shetland Islands
(SSI), Antarctica, from 2006 to 2015, for both all-sky and clear-sky conditions, and for the entire study
period and only the southern summer months. This is the first evaluation in which MYD10A1 and
MCD43 are also included, which can be used to improve the accuracy of the snow BRDF/albedo
modeling. The best correlation was obtained with MOD10A1 in clear-sky conditions (r = 0.7 and
RMSE = 0.042). With MCD43, only data from the backup algorithm could be used, so the correlations
obtained were lower (r = 0.6). However, it was found that there was no significant difference between
the values obtained for all-sky and for clear-sky data. In addition, the MODIS products were found
to describe the in situ data trend, with increasing albedo values in the range between 0.04 decade
−1
and 0.16 decade
−1
. We conclude that MODIS daily albedo products can be applied to study the
albedo in the study area.
Keywords: albedo; Antarctica; MODIS snow albedo; in-situ albedo; albedo trend
1. Introduction
Albedo or bi-hemispherical reflectance is the ratio of the radiant flux reflected from a
unit surface area into the whole hemisphere to the incident radiant flux of hemispherical
angular extent [1]. The albedo analysis is of interest both to climatology in general [2] and
to the climatology of polar areas in particular. Snow cover has a significant impact on the
hydrological cycle during winter and spring on the Earth’s surface [3], mainly in the polar
areas, where melting of the permafrost would lead to an increase in temperature due to the
release of greenhouse gases [4]. However, the greater or lesser degree of surface melting
is not only due to changes in temperature; an albedo increase would cause the snow to
absorb a smaller amount of short-wave radiation, which would lead to a reduction in the
energy available for melting [5]. It is known that variations in albedo are strongly related
to the surface energy balance and the available melting energy [6–9]. Thus, albedo analysis
in the polar areas is essential for the study of climate change.
Satellite observations are currently essential for observing the evolution of the albedo
in polar areas, mainly in Antarctica, where, due to adverse weather conditions, the weather
station network is not able to cover the entire territory. Thus, for example, Laine [10] used
satellite data to analyze the albedo behavior in five sectors around Antarctica (the Weddell
Sea, the Indian Ocean, the Pacific Ocean, the Ross Sea, and the Bellingshausen-Amundsen
Sea) between 1981 and 2000, finding an increasing albedo trend during spring and summer
Remote Sens. 2021, 13, 2357. https://doi.org/10.3390/rs13122357 https://www.mdpi.com/journal/remotesensing