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

机译:自1980年代以来完整Landsat档案的地表反照率图及其在冰冻圈中的应用

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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:地表反照率是主要的气候变量之一。人们越来越需要反照率数据用于需要中等至精细空间分辨率的应用中。在我们的早期研究中,以前用于较粗分辨率数据的直接估算方法已得到完善,并应用于Landsat数据档案库,包括MSS,TM,ETM +和OLI。针对地面测量的广泛验证表明,在无雪和积雪表面上,反照率估计算法可以实现不大于0.031的低均方根误差(RMSE)。在这项研究中,该算法与Landsat数据一起用于绘制自1980年代以来格陵兰岛西部烧蚀区的地表反照率变化,过去几十年来发生了大规模融化事件。作为案例研究,结合四个卫星反照率数据集(MODIS,GLASS,CLARA和Landsat)对格陵兰地表反照率变化进行了分析,以更好地了解消融区反照率变化的幅度和时间。

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