Rapid large-area mapping of ice flow using Landsat 8

Rapid large-area mapping of ice flow using Landsat 8
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DOI:
10.1016/j.rse.2015.11.023
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发表时间:
2016-11-01
影响因子:
13.5
通讯作者:
Klinger, Marin
Klinger, Marin
中科院分区:
工程技术1区
文献类型:
--
作者:
Fahnestock, Mark;Scambos, Ted;Klinger, Marin

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我们报告的成熟的光学卫星图像为基础的冰速度映射的冰盖和大型冰川化地区,使高辐射分辨率和内部几何精度的陆地卫星8的业务陆地成像仪(OLI)。使用2013年6月至2015年6月的数据创建了详细的大面积单季马赛克和冰流时间序列图。OLI波段8的12位辐射量化和15米像素尺度分辨率使位移跟踪冰盖表面上的微妙雪漂移模式的精度接近1米。冰盖和雪原的雪堆特征通常持续16至64天,最多可达432天,主要取决于积雪的积累速度。这导致冰流的空间连续映射,将映射能力扩展到裂缝区域之外。我们的方法使用图像芯片互相关和亚像素峰值拟合在匹配Landsat路径/行对。高通滤波应用于图像以增强局部表面纹理。大地卫星8号目前的高图像获取率(全球每天725幅图像)减少了极地和山区地形中高云量的影响,并允许快速汇编大面积或季节性冰流变化的密集时间覆盖。结果与干涉合成孔径雷达(干涉合成孔径雷达)测绘的覆盖范围和精度相媲美。(C)2015作者爱思唯尔公司出版
We report on the maturation of optical satellite-image-based ice velocity mapping over the ice sheets and large glacierized areas, enabled by the high radiometric resolution and internal geometric accuracy of Landsat 8's Operational Land Imager (OLI). Detailed large-area single-season mosaics and time-series maps of ice flow were created using data spanning June 2013 to June 2015. The 12-bit radiometric quantization and 15-m pixel scale resolution of OLI band 8 enable displacement tracking of subtle snow-drift patterns on ice sheet surfaces at similar to 1 m precision. Ice sheet and snowfield snow-drift features persist for typically 16 to 64 days, and up to 432 days, depending primarily on snow accumulation rates. This results in spatially continuous mapping of ice flow, extending the mapping capability beyond crevassed areas. Our method uses image chip cross-correlation and sub-pixel peak-fitting in matching Landsat path/row pairs. High-pass filtering is applied to the imagery to enhance local surface texture. The current high image acquisition rates of Landsat 8 (725 scenes per day globally) reduces the impact of high cloudiness in polar and mountain terrain and allows rapid compilation of large areas, or dense temporal coverage of seasonal ice flow variations. The results rival the coverage and accuracy of interferometric Synthetic Aperture Radar (InSAR) mapping. (C) 2015 The Authors. Published by Elsevier Inc.