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A long-term Global LAnd Surface Satellite (GLASS) data-set for environmental studies
Shunlin Liangabc, Xiang Zhaoab, Suhong Liuad, Wenping Yuanab, Xiao Chengab, Zhiqiang Xiaoad, Xiaotong Zhangab, Qiang Liuab, Jie Chengab, Hairong Tange, Yonghua Quab, Yancheng Boad, Ying Quad, Huazhong Renad, Kai Yue & John Townshendc
a The 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
b College of Global Change and Earth System Sciences, Beijing Normal University, Beijing, China
c Department of Geographical Sciences, University of Maryland, MD, USA
d School of Geography, Beijing Normal University, Beijing, China
e Institute of Electronics, Chinese Academy of Sciences, Beijing, China
Recently, five Global LAnd Surface Satellite (GLASS) products have been released: leaf area index (LAI), shortwave broadband albedo, longwave broadband emissivity, incident short radiation, and photosynthetically active radiation (PAR). The first three products cover the years 1982–2012 (LAI) and 1981–2010 (albedo and emissivity) at 1–5 km and 8-day resolutions, and the last two radiation products span the period 2008–2010 at 5 km and 3-h resolutions. These products have been evaluated and validated, and the preliminary results indicate that they are of higher quality and accuracy than the existing products. In particular, the first three products have much longer time series, and are therefore highly suitable for various environmental studies. This paper outlines the algorithms, product characteristics, preliminary validation results, potential applications and some examples of initial analysis of these products.
KEY WORDS: earth observation, global environmental change, remote sensing
PUBLISHED BY: INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2013, 6 (Sup 1, SI): 5-33.