ImpDAR: an open-source impulse radar processor

ImpDAR: an open-source impulse radar processor
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DOI:
10.1017/aog.2020.44
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发表时间:
2020-04
影响因子:
2.9
通讯作者:
D. Lilien;B. Hills;Joshua Driscol;R. Jacobel;K. Christianson
D. Lilien;B. Hills;Joshua Driscol;R. Jacobel;K. Christianson
中科院分区:
地球科学4区
文献类型:
--
作者:
D. Lilien;B. Hills;Joshua Driscol;R. Jacobel;K. Christianson

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摘要尽管在冰川学中广泛使用无线电回波探测(RES)和广泛分布的处理后的雷达产品,冰川学界没有标准的软件处理脉冲RES数据。独立、快速和独立于收集系统/平台的处理流程可以促进数据集之间的比较,并允许充分利用大型脉冲RES数据档案和新数据。在这里,我们介绍ImpDAR,一个开源的,跨平台的脉冲雷达处理器和解释器,主要用Python编写。该软件的实用性在于它将已建立的工具集合到一个单一的开源框架中。ImpDAR旨在提供一种通用标准,雷达处理新手可以使用,但对专家也很有用。它可以从普通的商用探地雷达(GPR)和一些定制的RES系统中读取数据。它执行所有标准处理步骤,包括带通和水平滤波、天线间距的时间校正、地理定位和迁移。在处理数据后,ImpDAR的解释器包括几个绘图功能,反射层位的数字化,反射层强度的计算和解释层的输出。我们证明了这些能力的两个数据集:深(~3000米深度)的数据收集与自定义(3 MHz)系统在格陵兰岛东北部和浅(<100米深度,500 MHz)的数据收集与商业GPR南喀斯喀特冰川在华盛顿。
Abstract Despite widespread use of radio-echo sounding (RES) in glaciology and broad distribution of processed radar products, the glaciological community has no standard software for processing impulse RES data. Dependable, fast and collection-system/platform-independent processing flows could facilitate comparison between datasets and allow full utilization of large impulse RES data archives and new data. Here, we present ImpDAR, an open-source, cross-platform, impulse radar processor and interpreter, written primarily in Python. The utility of this software lies in its collection of established tools into a single, open-source framework. ImpDAR aims to provide a versatile standard that is accessible to radar-processing novices and useful to specialists. It can read data from common commercial ground-penetrating radars (GPRs) and some custom-built RES systems. It performs all the standard processing steps, including bandpass and horizontal filtering, time correction for antenna spacing, geolocation and migration. After processing data, ImpDAR's interpreter includes several plotting functions, digitization of reflecting horizons, calculation of reflector strength and export of interpreted layers. We demonstrate these capabilities on two datasets: deep (~3000 m depth) data collected with a custom (3 MHz) system in northeast Greenland and shallow (<100 m depth, 500 MHz) data collected with a commercial GPR on South Cascade Glacier in Washington.