Catalytic: Distributed Acoustic Sensing Data Analysis Ecosystem (DASDAE)

分布式声学传感(DAS)是一种允许人们将光缆重新定位为一系列多个振动传感器的技术。DAS使地球科学家和土木工程师能够更轻松、更低成本地收集地震振动数据，机会主义地使用电信基础设施，将传感器留在适当的位置进行长期研究，几乎不需要维护，以及在冰川、城市和近海环境等新地点收集数据。DAS可以改变解决许多社会重要问题的方法：环境监测、地下水研究、地震危险分析、基础设施复原力监测，以及其他需要大范围高分辨率振动数据的应用。然而，只有当科学家和工程师免费获得适当的用户友好软件时，这些支持DAS的应用程序的科学和社会效益才会成为现实。这一地球信息学催化轨道项目将开发新的软件--分布式声学传感数据分析生态系统(DASDAE)，以降低越来越多从事DAS工作的科学家的进入门槛。DASDAE将提供方便的编程接口来读/写DAS文件格式，并用于分析和可视化数据。DASDAE团队将通过组织教程研讨会、分发培训视频和笔记本(即混合了文本解释、计算机代码和图像的文档)以及举办黑客松来建立用户和开发人员社区。该项目将支持对不同的学生和博士后进行跨学科培训，包括通过在课程材料中使用软件。DAS的庞大数据量和不断发展的数据标准为许多希望在他们的研究项目中使用DAS的地球科学家制造了障碍。如果没有开放源码社区软件包来补充对DAS仪器的投资，所获得的数据不太可能得到充分利用。DASDAE将是一个开放源代码的软件开发环境，供地球科学界合作、共享方法、访问开放数据，并有效地复制DAS实验结果。它将是新的地学发现不可或缺的一部分，特别是对于很少使用大规模地震数据的学科。DASDAE将包括一套广泛的DAS数据分析工具，通过现代软件优化为密集阵列实施，酌情与用于阵列分析的现有开放源码计算科学软件相结合，以及强大的测试和核查做法。该软件将遵循模块化设计，以允许跨计算范例重复使用代码：现场笔记本电脑、台式工作站、高性能计算(HPC)集群，以及未来的云计算和边缘计算。DASDAE团队将开发三个科学分析模块，以推进与地震危险、智慧城市和近地表地球物理相关的研究，这也是未来软件开发的范例。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Distributed acoustic sensing (DAS) is a technology allowing one to repurpose a fiber optic cable as a series of many vibration sensors. DAS allows geoscientists and civil engineers to collect seismic vibration data more easily and at low cost, to opportunistically use telecommunications infrastructure, to leave sensors in place for long-term studies with little maintenance, and to collect data in new locations such as glaciers, cities, and offshore environments. DAS could transform approaches to numerous societally important problems: environmental monitoring, groundwater studies, earthquake hazard analysis, infrastructure resilience monitoring, and other applications requiring high resolution vibration data across large regions. However, the scientific and societal benefits of these DAS-enabled applications will only become reality if appropriate user-friendly software is freely available to scientists and engineers. This Geoinformatics Catalytic Track project will develop new software, the Distributed Acoustic Sensing Data Analysis Ecosystem (DASDAE), to lower the barrier to entry for the growing community of scientists working with DAS. DASDAE will provide convenient programming interfaces to read/write DAS file formats and for analyzing and visualizing data. The DASDAE team will build a user and developer community by organizing tutorial workshops, distributing training videos and notebooks (i.e., documents that mix text explanations, computer code, and images), and hosting hackathons. This project will support cross-disciplinary training for diverse students and postdocs, including through use of software in course materials.Large DAS data volumes and ongoing development of data standards have created a barrier for many geoscientists wishing to use DAS in their research projects. Without an open-source community software package to complement investments in DAS instrumentation, the data acquired are unlikely to be fully utilized. DASDAE will be an open-source software development environment for the geoscience community to collaborate, share methods, access open data, and efficiently reproduce results from DAS experiments. It will be integral to new geoscience discoveries, particularly for disciplines that rarely use large-scale seismic data. DASDAE will include a broad suite of DAS data analysis tools, implemented for dense arrays with modern software optimizations, integration with existing open-source computational science software for array analysis where appropriate, and robust testing and verification practices. This software will follow a modular design to allow for reuse of code across computing paradigms: field laptops, desktop workstations, high performance computing (HPC) clusters, and future cloud and edge computing. The DASDAE team will develop three scientific analysis modules that advance earthquake hazard, smart city, and near-surface geophysics related research, which also serve as examples for future software development.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.