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Mapping Surface Albedo from the Complete Landsat Archive since the 1980S and Its Cryospheric Application

机译:自20世纪80年代以来的完整Landsat档案映射表面Albedo及其粘附性应用

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Surface albedo is one of the essential climate variables. There is an increasing need for albedo data to be available for use in applications that require a medium to fine spatial resolution. In our earlier study, the direct estimation approach, previously used with coarser resolution data, was refined and applied to the Landsat data archive, including MSS, TM, ETM+, and OLI. Extensive validations made against ground measurements showed that the albedo estimation algorithm could achieve low root-mean-squared-errors (RMSEs) not more than 0.031 over both snow-free and snow-covered surfaces. In this study, the algorithm was used with Landsat data to map the surface albedo changes in the ablation zone over west Greenland since 1980s, where massive melting events occurred during the past few decades. As a case study, an analysis of surface albedo change over Greenland combining four satellite albedo datasets, namely MODIS, GLASS, CLARA, and Landsat was conducted to better understand the magnitude and timing of albedo changes in the ablation zone.
机译:表面Albedo是必不可少的气候变量之一。随着Albedo数据的需求越来越需要用于需要媒体到精细空间分辨率的应用中的应用。在我们之前的研究中,先前与较粗分辨率数据一起使用的直接估计方法,并应用于Landsat数据存档,包括MS,TM,ETM +和OLI。针对地面测量的广泛验证表明,Albedo估计算法可以在无雪和冰雪覆盖的表面上实现不超过0.031的低根均衡误差(RMSE)。在这项研究中,算法与Landsat数据一起使用,自20世纪80年代以来,映射到西格陵兰西格陵兰的消融区的变化,在过去几十年中发生了大规模的融化事件。作为一个案例研究,进行了四卫星Albedo数据集的格陵兰面积果实,即Modis,Glass,Clara和Landsat的地表Albedo变化分析,以更好地了解消融区的Albedo变化的大小和时间。

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