Global time series and temporal mosaics of glacier surface velocities, derived from Sentinel-1 data

P. Friedl, T. Seehaus, M. Braun
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引用次数: 16

Abstract

Abstract. Consistent and continuous data on glacier surface velocity are important inputs to time series analyses, numerical ice dynamic modelling and glacier mass flux computations. Since 2014, repeat-pass Synthetic Aperture Radar (SAR) data is acquired by the Sentinel-1 satellite constellation as part of ESA’s (European Space Agency) Copernicus program. It enables global, near real time-like and fully automatic processing of glacier surface velocity fields at up to 6-day temporal resolution, independent of weather conditions, season and daylight. We present a new near global data set of glacier surface velocities that comprises continuously updated scene-pair velocity fields, as well as monthly and annually averaged velocity mosaics at 200 m spatial resolution. The velocity information is derived from archived and new Sentinel-1 SAR acquisitions by applying feature and speckle tracking. The data set covers 12 major glaciated regions outside the polar ice sheets and is generated in an HPC (High Performance Computing) environment at the University of Erlangen-Nuremberg. The velocity products are freely accessible via an interactive web portal that provides capabilities for download and simple online analyses: http://retreat.geographie.uni-erlangen.de. In this paper we give information on the data processing and how to access the data. For the example region of Svalbard, we demonstrate the potential of our products for velocity time series analyses at very high temporal resolution and assess the quality of our velocity products by comparing them to those generated from very high resolution TerraSAR-X SAR (Synthetic Aperture Radar) and Landsat-8 optical (ITS_LIVE, GoLIVE) data. We find that Landsat-8 and Sentinel-1 annual velocity mosaics are in an overall good agreement, but speckle tracking on Sentinel-1 6-day repeat acquisitions derives more reliable velocity measurements over featureless and slow moving areas than the optical data. Additionally, uncertainties of 12-day repeat Sentinel-1 mid-glacier scene-pair velocities are less than half (< 0.08 m d−1) of the uncertainties derived for 16-day repeat Landsat-8 data (0.17–0.18 m d−1).
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基于Sentinel-1数据的冰川表面速度的全球时间序列和时间马赛克
摘要连续一致的冰川表面速度数据是时间序列分析、数值冰动力模拟和冰川质量通量计算的重要输入。自2014年以来,作为欧空局哥白尼计划的一部分,哨兵1号卫星星座获得了重复通过合成孔径雷达(SAR)数据。它能够以6天的时间分辨率对冰川表面速度场进行全球、接近实时和全自动的处理,不受天气条件、季节和日光的影响。我们提出了一个新的近全球冰川表面速度数据集,该数据集包括连续更新的场景对速度场,以及200米空间分辨率的月平均和年平均速度拼接。速度信息是通过应用特征和散斑跟踪,从存档和新的Sentinel-1 SAR捕获中获得的。该数据集涵盖了极地冰盖以外的12个主要冰川区域,是在埃尔兰根-纽伦堡大学的高性能计算环境中生成的。velocity产品可通过交互式门户网站(http://retreat.geographie.uni-erlangen.de)免费访问,该门户网站提供下载和简单的在线分析功能。本文给出了数据处理和数据访问的方法。以斯瓦尔巴群岛为例,我们展示了我们的产品在非常高的时间分辨率下进行速度时间序列分析的潜力,并通过将它们与非常高分辨率的TerraSAR-X SAR(合成孔径雷达)和Landsat-8光学(ITS_LIVE, GoLIVE)数据产生的结果进行比较,评估我们的速度产品的质量。我们发现Landsat-8和Sentinel-1的年速度拼接总体上是一致的,但Sentinel-1 6天重复采集的斑点跟踪在无特征和缓慢移动区域获得的速度测量比光学数据更可靠。此外,12天重复Sentinel-1冰川中部场景对速度的不确定性小于16天重复Landsat-8数据(0.17-0.18 m d- 1)的不确定性的一半(< 0.08 m d- 1)。
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