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Qiang Liu^abc*, Lizhao Wang^bd, Ying Qu^bd, Nanfeng Liu^bc, Suhong Liu^bd, Hairong Tang^e & Shunlin Liang^abf

 

^a College of Global Change and Earth System Science, Beijing Normal University, Beijing, China;

^b State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing Applications of Chinese Academy of Sciences, Beijing, China;

^c Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China;

^d School of Geography, Beijing Normal University, Beijing, China;

^e Institute of Electronics, Chinese Academy of Sciences, Beijing, China;

^f Department of Geographical Sciences, University of Maryland, College Park, MD, USA.

 

ABSTRACT

Land surface albedo is an important parameter to describe the radiant forcing in the climate system. A long-time series of global albedo products is needed to understand the mechanism of climate change. Aiming to support global change and Earth system studies, GLASS (Global LAnd Surface Satellites) provides long-term global land surface albedo product from 1981 to 2010, which are generated from multisource remote sensing data and newly developed algorithms. It is critical to assess the quality of the GLASS product when it is released to the public. This paper first introduced the algorithms and then analyzed the integrity, accuracy, and robustness of the GLASS albedo product. The results show that the GLASS albedo product is a gapless, long-term continuous, and self-consistent data-set with an accuracy similar to that of the widely acknowledged MODIS MCD43 product. The quality flag, which is provided along with the black-sky and white-sky albedo, gives a pertinent indication of the expected uncertainty in the product.

 

KEY WORDS: land surface broadband albedo, validation, GLASS, MODIS, AVHRR

 

PUBLISHED BY: INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2013, 6 (Sup 1, SI): 69-95.

 

SOURCE: http://www.tandfonline.com/doi/abs/10.1080/17538947.2013.804601#.UuSkMRCS270