Digital Environment: Dynamic Ground Motion Map of the UK

数字环境：英国动态地面运动地图

• 批准号: NE/S016104/1
• 负责人: Juliet Biggs
• 金额: $ 21.71万
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FS016104%2F1
• 关键词: Digital; Environment; Dynamic; Ground; Motion

The ground surface in the UK is far from stable. For example, there are more that 15,000 recorded landslides in the UK, and the average annual cost of ground movement to the insurance industry is £250M. Landslides affecting critical infrastructure, such as mainline railways or dams, can be associated with multi-million pound remediation costs even for a single slope failure event. Furthermore, there are tens of thousands of kilometres of engineered slopes in our transportation, utilities and flood defence infrastructure networks - many of which were built in Victorian times and are in poor condition. Satellite technology, specifically ESA's Sentinel-1 constellation, has the potential to produce a dynamic, high resolution map of ground motion which can be used for monitoring and planning. The proposed feasibility study will explore whether UK expertise can be used to integrate Sentinel-1 data with sensors on the ground and embedded in the built environment to contribute to the Digital Environment. The study will leverage existing RCUK investments, map the requirements of potential stakeholders and explore cutting edge approaches to data handling, analysis, fusion and decision making. In addition to the core of InSAR experts, our team comprises a) specialists in image processing and machine learning, b) specialists in landslides, subsidence and onshore energy production and c) two knowledge exchange fellows. A wide-ranging network of potential stakeholders has already been identified, and our selected project partners (Environment Agency, Network Rail, TerraDat, Bridgeway Consulting) represent the needs of key governmental and commercial beneficiaries. The output of the feasibility study will be a peer-reviewed white paper detailing the requirements for a Sentinel-1 based UK ground motion map to be incorporated into a Digital Environment.

英国的地表很不稳定。例如，英国有超过1.5万次有记录的山体滑坡，而地面移动给保险业造成的平均年损失为2.5亿英镑。影响关键基础设施（如干线铁路或大坝）的滑坡，即使是一次边坡破坏事件，也可能需要数百万英镑的修复费用。此外，在我们的交通、公用事业和防洪基础设施网络中，有数万公里的工程斜坡，其中许多是在维多利亚时代建造的，状况很差。卫星技术，特别是欧空局的哨兵-1星座，有可能产生动态的、高分辨率的地面运动地图，可用于监测和规划。拟议的可行性研究将探讨英国的专业知识是否可以用于将Sentinel-1数据与地面传感器集成，并嵌入到建筑环境中，为数字环境做出贡献。该研究将利用现有的RCUK投资，绘制潜在利益相关者的需求图，并探索数据处理、分析、融合和决策的前沿方法。除了核心的InSAR专家外，我们的团队还包括a)图像处理和机器学习方面的专家，b)滑坡、下沉和陆上能源生产方面的专家，以及c)两名知识交流研究员。我们已经确定了一个广泛的潜在利益相关者网络，我们选定的项目合作伙伴（环境局、网络铁路、TerraDat、Bridgeway Consulting）代表了关键的政府和商业受益者的需求。可行性研究的结果将是一份经过同行评审的白皮书，详细说明将基于Sentinel-1的英国地面运动地图纳入数字环境的要求。

项目成果

Benchmarking and inter-comparison of Sentinel-1 InSAR velocities and time series

• DOI: 10.1016/j.rse.2021.112306
• 发表时间: 2021-01-30
• 期刊: REMOTE SENSING OF ENVIRONMENT
• 影响因子: 13.5
• 作者: Sadeghi, Z.;Wright, T. J.;Biggs, J.
• 通讯作者: Biggs, J.

Blind Source Separation for MT-InSAR Analysis With Structural Health Monitoring Applications

用于结构健康监测应用的 MT-InSAR 分析的盲源分离

• DOI: 10.1109/jstars.2022.3190027
• 发表时间: 2022
• 期刊: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• 影响因子: 5.5
• 作者: Martin G

Ground and Satellite-Based Methods of Measuring Deformation at a UK Landslide Observatory: Comparison and Integration

• DOI: 10.3390/rs14122836
• 发表时间: 2022-06
• 期刊: Remote. Sens.
• 作者: K. Kelevitz;A. Novellino;A. Watlet;J. Boyd;J. Whiteley;J. Chambers;C. Jordan;T. Wright;A. Hooper;J. Biggs

Time-Series Prediction Approaches to Forecasting Deformation in Sentinel-1 InSAR Data

• DOI: 10.1029/2020jb020176
• 发表时间: 2021-03-01
• 期刊: JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
• 影响因子: 3.9
• 作者: Hill, P.;Biggs, J.;Bull, D.
• 通讯作者: Bull, D.