Elements: Software - Harnessing the InSAR Data Revolution: GMTSAR

要素：软件 - 利用 InSAR 数据革命：GMTSAR

• 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; Elements; Software; Harnessing; InSAR; Data

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.

该奖项支持开发软件工具，该工具旨在降低使用干涉合成孔径雷达（INSAR）数据的障碍。诸如地震，火山，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监测到10 mm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工具。 Insar是一种强大而低成本的方法，可监视地下岩浆运动，并且与其他工具（例如GPS和地震数据）结合使用时特别有用。 INSAR还用于了解地下流体运动，例如由地下水戒断，地热生产或石油和天然气场引起的。目前，各种各样的新SAR卫星正在运行，美国将在不久的将来执行更有能力的任务。 这些庞大的数据集需要转变为信息，以促进科学的进步，减轻自然危害并增强地下资源的使用。名为GMTSAR的软件将开发出强大而可持续的软件，以充分利用卫星生成的科学和应用数据。 该项目的主要创新是开发开放且可靠的软件，以简化InsAR数据处理并启用在最先进的计算机设施上的数千个SAR图像的日常处理。 软件的开放分布和GMTSAR理论基础文档为太空测量领域的教育提供了基础，并确保对多样化的受众群体可用。这项拟议的调查将使用标准的软件工程实践来硬化GMTSAR代码，改进地理位置，并使其更易于使用Unix平台的新手和高级用户。 这将通过改进和自动化的测试，部分重新设计和简化工作流，UNAVCO短期课程，用户反馈以及最终将代码分布和维护迁移到国家设施。工作后研究人员将与GMTSAR和GMT开发团队合作以及在XSEDE计划的协助下进行工作。 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 Cyber​​infrastructure is jointly supported by the Cross-Cutting Activities Program of the Division of Earth Sciences within the NSF Directorate for Geosciences, and the NSF地球科学局和高级网络基础设施办公室共同赞助的EarthCube计划。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的评估审查标准的评估值得支持的。