Abstract
As a key parameter for indicating the fraction of surface-reflected solar incident radiation, land surface albedo plays an important role in the Earth’s surface energy budget (SEB). Since the Sanjiang Plain has been severely affected by human activities (e.g., reclamation and shrinking of wetlands), it is important to assess the spatiotemporal variations of surface albedo in this region using a long-term remote sensing dataset. In order to investigate the surface albedo climatology, trends, and mechanisms of change, we evaluated the surface albedo variations in the Sanjiang Plain, China from 1982 to 2015 using the Global LAnd Surface Satellite (GLASS) broadband surface albedo product. The results showed that: 1) an increasing annual trend (+0.000 58/yr) of surface albedo was discovered in the Sanjiang Plain based on the GLASS albedo dataset, with a much stronger increasing trend (+0.001 26/yr) occurring during the winter. Most of the increasing trends occurred over the cultivated land, unused land, and land use conversion types located in the northeastern Sanjiang Plain. 2) The increasing trend of land surface albedo in Sanjiang Plain can be largely explained by the changes of both snow cover extent and land use. The surface albedo in winter is highly correlated with the snow cover extent in the Sanjiang Plain, and the increasing trend of surface albedo can be further enhanced by the land use changes.
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Acknowledgements
The authors would like to thank the GLASS group and the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences for sharing their surface albedo and land use data.
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Under the auspices of the National Key R&D Program of China (No. 2016YFA0602301), National Natural Science Foundation of China (No. 41971287, 41601349), Science and Technology Development Program of Jilin Province (No. 20180520220JH, 20180623058TC), Fundamental Research Funds for the Central Universities (No. 2412019FZ003)
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Li, X., Zhang, H. & Qu, Y. Land Surface Albedo Variations in Sanjiang Plain from 1982 to 2015: Assessing with GLASS Data. Chin. Geogr. Sci. 30, 876–888 (2020). https://doi.org/10.1007/s11769-020-1152-x
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DOI: https://doi.org/10.1007/s11769-020-1152-x