Comprehensive Annual Ice Sheet Velocity Mapping Using Landsat-8, Sentinel-1, and RADARSAT-2 Data
Comprehensive Annual Ice Sheet Velocity Mapping Using Landsat-8, Sentinel-1, and RADARSAT-2 Data
复制标题
DOI：
10.3390/rs9040364
复制
发表时间：
2017-04-01
期刊：
影响因子：
5
通讯作者：
Millan, Romain
中科院分区：
文献类型：
--
作者：
Mouginot, Jeremie;Rignot, Eric;Millan, Romain
最近，包括Landsat-8(光学)、Sentinel-1和RADARSAT-2(合成孔径雷达)任务在内的卫星遥感数据已成为格陵兰和南极洲大尺度冰盖速度测绘的常规数据。这些数据集的大小太大，无法像过去那样手动处理和校准。在这里，我们描述了一种以协同方式处理SAR和光学数据并自动校准、镶嵌这些数据集并将其集成到无缝、冰盖范围的产品中的方法。我们使用这种方法来制作南极洲和格陵兰岛每年的冰运动马赛克，并获得特定年份的所有可用数据。我们发现，Landsat-8的精度低于其对应的SAR，但由于Landsat-8的大量采集，再加上Landsat-8数据中光学表面特征的高度持久性，我们从Landsat获得了与SAR速度产品很好地融合的精确的速度产品。由此产生的遥感产品池在观测整个冰盖上的冰动态变化及其对海平面的贡献方面是一个重大进步。在为下一代传感器做准备的过程中，我们讨论了这些结果对即将到来的NASA-ISRO SAR任务(NISAR)的影响。
Satellite remote sensing data including Landsat-8 (optical), Sentinel-1, and RADARSAT-2 (synthetic aperture radar (SAR) missions) have recently become routinely available for large scale ice velocity mapping of ice sheets in Greenland and Antarctica. These datasets are too large in size to be processed and calibrated manually as done in the past. Here, we describe a methodology to process the SAR and optical data in a synergistic fashion and automatically calibrate, mosaic, and integrate these data sets together into seamless, ice-sheet-wide, products. We employ this approach to produce annual mosaics of ice motion in Antarctica and Greenland with all available data acquired on a particular year. We find that the precision of a Landsat-8 pair is lower than that of its SAR counterpart, but due to the large number of Landsat-8 acquisitions, combined with the high persistency of optical surface features in the Landsat-8 data, we obtain accurate velocity products from Landsat that integrate well with the SAR-derived velocity products. The resulting pool of remote sensing products is a significant advance for observing changes in ice dynamics over the entire ice sheets and their contribution to sea level. In preparation for the next generation sensors, we discuss the implications of the results for the upcoming NASA-ISRO SAR mission (NISAR).