Elements: Software - Harnessing the InSAR Data Revolution: GMTSAR

要素：软件 - 利用 InSAR 数据革命：GMTSAR

基本信息

批准号：
1834807
负责人：
David Sandwell
金额：
$ 28.17万
依托单位：
University of California-San Diego Scripps Inst of Oceanography
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-10-01 至 2022-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1834807&HistoricalAwards=false
关键词：
Elements Software Harnessing InSAR Data

项目摘要

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.

该奖项支持开发一款软件工具，旨在降低干涉合成孔径雷达（InSAR）数据的使用障碍。地震、火山、山体滑坡和冰川等自然过程会导致地球表面变形，现在可以在全球范围内以 10 毫米的精度进行监测。这些表面测量为研究地球内部的过程提供了一种新工具。 InSAR 是一种强大且低成本的监测地下岩浆运动的方法，与 GPS 和地震数据等其他工具结合使用时特别有用。 InSAR 还用于了解地下流体运动，例如由地下水抽取、地热生产或油气田引起的流体运动。目前有多种新型合成孔径雷达卫星正在运行，美国在不久的将来将承担更强大的任务。这些海量数据集需要转化为信息，以促进科学进步、减轻自然灾害并加强地下资源的利用。该软件名为 GMTSAR，将开发强大且可持续的软件，以充分利用卫星生成的数据进行科学和应用。该项目的主要创新是开发开放且强大的软件，以简化 InSAR 数据处理，并能够在最先进的计算机设施上对数千张 SAR 图像进行常规处理。软件的开放分发和 GMTSAR 理论基础文档为空间大地测量学领域的教育奠定了基础，并确保对不同受众的可用性。这项拟议的调查将使用标准软件工程实践来强化 GMTSAR 代码、改进大地测量学和使各种 UNIX 平台上的新手和高级用户都可以更轻松地使用它。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、UNAVCO 短期课程、用户反馈以及最终将代码分发和维护迁移到国家设施来实现。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 项目的协助下完成。预期成果是提供可持续、开放、大地测量精确的软件，将 InSAR 时间序列分析从今天发布的中尺度方法转移到使用新数据流成为可能的大空间和时间尺度分析。该奖项由 NSF 授予高级网络基础设施办公室得到了 NSF 地球科学局地球科学部跨领域活动计划的共同支持，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 EarthCube 计划网络基础设施。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

期刊论文数量（4）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Surface deformation associated with fractures near the 2019 Ridgecrest earthquake sequence

DOI：
10.1126/science.abd1690
发表时间：
2020-10
期刊：
Science
影响因子：
56.9
作者：
Xiaohua Xu;D. Sandwell;L. Ward;C. Milliner;B. Smith‐Konter;P. Fang;Y. Bock
通讯作者：
Xiaohua Xu;D. Sandwell;L. Ward;C. Milliner;B. Smith‐Konter;P. Fang;Y. Bock

Integrated Sentinel‐1 InSAR and GNSS Time‐Series Along the San Andreas Fault System