Elements: Software - Harnessing the InSAR Data Revolution: GMTSAR

该奖项支持开发一种软件工具，旨在降低干涉合成孔径雷达(InSAR)数据的使用门槛。地震、火山、滑坡和冰川等自然过程导致地球表面的变形，现在全球可以监测到10毫米的精度。这些表面测量为研究地球内部的过程提供了一种新的工具。InSAR是监测地下岩浆运动的一种强大且低成本的方法，在与GPS和地震数据等其他工具相结合时尤其有用。InSAR还用于了解地下流体运动，如地下水开采、地热生产或油气田中的流体运动。各种新的合成孔径雷达卫星目前正在运行，美国在不久的将来将有更有能力的任务。这些海量的数据集需要转化为信息，以促进科学进步，减轻自然灾害，加强对地下资源的利用。该软件名为GMTSAR，将开发强大和可持续的软件，以充分利用卫星产生的数据用于科学和应用。这个项目的主要创新是开发开放和强大的软件，以简化InSAR数据处理，并使数以千计的SAR图像能够在最先进的计算机设施上进行常规处理。开放的软件分发和GMTSAR理论基础文件为空间大地测量学领域的教育提供了基础，并确保向不同的受众提供。这项拟议的调查将使用标准的软件工程实践来强化GMTSAR代码，改进大地测量，并使其更容易为广泛的Unix平台上的新手和高级用户所访问。这将通过改进和自动化测试、部分重新设计和简化工作流程、联阿援助团短期课程、用户反馈以及最终将代码分发和维护转移到国家设施来实现。这项工作将由一名博士后研究员与GMTSAR和GMT开发团队合作，并在XSEDE计划的帮助下进行。预计的结果是提供可持续的、开放的、大地测量准确的软件，将InSAR时间序列分析从今天发布的中等尺度方法转移到使用新数据流将成为可能的大规模空间和时间尺度分析。该奖项由NSF高级网络基础设施办公室联合支持，由NSF地球科学局地球科学部的交叉活动计划以及由NSF地球科学局和高级网络基础设施办公室联合发起的地球立方体计划共同支持。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。

The award supports the development of a software tool aimed at lowering the barriers for the use of Interferometric Synthetics Aperture Radar (InSAR) data. Natural processes such as earthquakes, volcanoes, landslides, and glaciers cause deformation of the surface of the earth that can now be monitored to 10 mm precision globally. These surface measurements provide a new tool for investigating processes in the interior of the Earth. InSAR is a powerful and low-cost way to monitor subsurface magma movement and is especially useful when combined with other tools such as GPS and seismic data. InSAR is also used to understand subsurface fluid movement, such as caused by groundwater withdrawal, geothermal production, or in oil and gas fields. A wide variety of new SAR satellites are currently operating and the US will have an even more capable mission in the near future. These massive data sets need to be transformed into information to promote the progress of science, mitigate natural hazards, and enhance use of underground resources. The software, named GMTSAR will develop robust and sustainable software to take full advantage of the satellite generated data for both science and applications. The main innovation of this project is to develop open and robust software to simplify the InSAR data processing and enable routine processing of thousands of SAR images on state-of-the-art computer facilities. Open distribution of software, and the GMTSAR theoretical basis document provide a foundation for education in the field of space geodesy and ensures availability to a diverse audience.This proposed investigation will use standard software engineering practices to harden the GMTSAR code, improve the geodesy, and make it more accessible to novice and advanced users on a wide array of UNIX platforms. This will be achieved through improved and automated testing, partial redesign and simplification of the work flows, UNAVCO short courses, user feedback, and eventual migration of the code distribution and maintenance to a national facility. Work will be performed by a postdoctoral researcher in collaboration with the GMTSAR and GMT development teams and with assistance from the XSEDE program. The expected outcome is to provide sustainable, open, geodetically-accurate software to move InSAR time series analysis from the intermediate-scale methods published today to large spatial and time scale analyses that are becoming possible using the new data streams.This award by the NSF Office of Advanced Cyberinfrastructure is jointly supported by the Cross-Cutting Activities Program of the Division of Earth Sciences within the NSF Directorate for Geosciences, and the EarthCube Program jointly sponsored by the NSF Directorate for Geosciences and the Office of Advanced Cyberinfrastructure.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.