Ground-based InSAR and GNSS integration for enhanced dam monitoring

IF 2.3 Q2 REMOTE SENSING

Applied Geomatics Pub Date : 2025-03-26 DOI:10.1007/s12518-025-00622-w

Matthieu Rebmeister, Andreas Schenk, Jakob Weisgerber, Malte Westerhaus, Stefan Hinz, Frédéric Andrian, Maxime Vonié

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引用次数: 0

Abstract

The monitoring of dams is essential to ensure their safe operation for the production of renewable energy. Common tools to monitor dams are permanently installed plumblines and surveying by means of total station and leveling within a geodetic network. The main drawback of these methods is their limited spatial and temporal resolution. Recent studies have shown promising results using Ground-Based InSAR for geodetic dam monitoring. The fast acquisition speed combined with the surface monitoring capabilities enable to monitor several hundreds to thousands of points on the dam every day or several times a day. However, GB-SAR is a relative phase-measurement technique, and any interruption in the data acquisition leads to difficulties to unwrap differential phase observations and join the disjunct time series. The combination with other absolute measurement tools is promising to create an absolute deformation map of the dam. GNSS is a very efficient and reliable method providing point-wise absolute displacement time series and mm-accuracy. This paper proposes a combination of GNSS and GB-SAR observations to enhance the consistency of the surface-based dam displacement maps obtained by solely GB-SAR measurements. A method to detect unwrapping errors over long time series is proposed. The corrected GB-SAR time displacement maps are compared to a numerical model and confirm the correctness of the applied corrections.

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地基InSAR和GNSS集成，增强大坝监测

大坝的监测是保证其安全运行以生产可再生能源的必要条件。监测水坝的常用工具是在大地测量网内永久安装铅垂线和通过全站仪和水准测量。这些方法的主要缺点是空间和时间分辨率有限。最近的研究表明，使用地基InSAR进行大地测量大坝监测的结果很有希望。快速的采集速度与地面监测能力相结合，可以每天或一天几次监测大坝上的数百到数千个点。然而，GB-SAR是一种相对相位测量技术，数据采集中的任何中断都会导致难以展开差分相位观测并加入间断时间序列。与其他绝对测量工具相结合，有望创建大坝的绝对变形图。GNSS是一种非常有效和可靠的方法，可以提供逐点绝对位移时间序列和毫米精度。本文提出了GNSS和GB-SAR观测相结合的方法，以提高仅通过GB-SAR测量获得的地表大坝位移图的一致性。提出了一种检测长时间序列展开错误的方法。将校正后的GB-SAR时间位移图与数值模型进行了比较，验证了应用校正的正确性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Geomatics REMOTE SENSING-

CiteScore

5.40

自引率

3.70%

发文量

期刊介绍： Applied Geomatics (AGMJ) is the official journal of SIFET the Italian Society of Photogrammetry and Topography and covers all aspects and information on scientific and technical advances in the geomatics sciences. The Journal publishes innovative contributions in geomatics applications ranging from the integration of instruments, methodologies and technologies and their use in the environmental sciences, engineering and other natural sciences. The areas of interest include many research fields such as: remote sensing, close range and videometric photogrammetry, image analysis, digital mapping, land and geographic information systems, geographic information science, integrated geodesy, spatial data analysis, heritage recording; network adjustment and numerical processes. Furthermore, Applied Geomatics is open to articles from all areas of deformation measurements and analysis, structural engineering, mechanical engineering and all trends in earth and planetary survey science and space technology. The Journal also contains notices of conferences and international workshops, industry news, and information on new products. It provides a useful forum for professional and academic scientists involved in geomatics science and technology. Information on Open Research Funding and Support may be found here: https://www.springernature.com/gp/open-research/institutional-agreements