Monitoring Strategy of Geological Hazards Using Integrated Three-dimensional InSAR and GNSS Technologies with Case Study

IF 1.4 4区 工程技术 Q3 ENGINEERING, CIVIL
L. Bányai, István Bozsó, E. Szűcs, K. Gribovszki, V. Wesztergom
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引用次数: 0

Abstract

Geodetic/geodynamic benchmarks, equipped with both ascending and descending radar corner reflectors, and a method for integrated InSAR and GNSS/GPS network observation were developed and applied as the continuation of the former geodetic monitoring at the Dunaszekcső landslide, Hungary. The attempts to apply InSAR technologies using archive and Sentinel-1 data practically failed on the most intensive landside areas (“Vár” and “Szent János” hills), where proper persistent or distributed scatterers were not found. Our concept solved this problem, where the Simple Look Complex (SLC) images are used to interpolate the movements between two GNSS network observations using the integrated benchmarks and the method of Kalman-filtering. Since the InSAR line-of-sight (LOS) changes are barely sensitive to the north movements, this information is essentially provided by GNSS measurement alone, moreover, the GNSS measurements are used to: a) identify the benchmarks, b) detect the unwrapping errors and missing cycles and c) provide the boundary values of Kalman-filtering.After the installation of benchmarks three GPS observations were carried out and 69 ascending and 61 descending Sentinel-1 A and B images were processed. The data processing properly indicated the general movement history, which fit the curves of former geodetic observations, as well. The dense data points of the East and Up (vertical) components made possible more detailed geomorphologic interpretations of the ongoing process between two GPS observations. During the investigated periods the deceleration of movements was experienced, however, the deceleration of the dormant state needs the continuation of the monitoring.
基于三维InSAR和GNSS技术的地质灾害监测策略与实例研究
在匈牙利的dunaszekcsov滑坡中,开发并应用了配备上升和下降雷达角反射器的大地测量/地球动力学基准,以及InSAR和GNSS/GPS网络综合观测方法,作为以前大地测量监测的延续。利用存档和Sentinel-1数据应用InSAR技术的尝试在最密集的陆地区域(“Vár”和“Szent János”山)实际上失败了,在那里没有找到适当的持久或分布的散射体。我们的概念解决了这个问题,其中使用简单看起来复杂(SLC)图像使用综合基准和卡尔曼滤波方法来插值两个GNSS网络观测值之间的运动。由于InSAR视距(LOS)变化对北移几乎不敏感,因此该信息基本上仅由GNSS测量提供,此外,GNSS测量用于:a)确定基准,b)检测解包裹误差和缺失周期以及c)提供卡尔曼滤波的边界值。安装基准后,进行了3次GPS观测,处理了69幅上升和61幅下降的Sentinel-1 A和B图像。数据处理较好地反映了总体运动历史,与以往的大地观测曲线吻合较好。东方和向上(垂直)分量的密集数据点使得对两次GPS观测之间正在进行的过程进行更详细的地貌解释成为可能。在研究期间,运动经历了减速,但休眠状态的减速需要继续监测。
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来源期刊
Periodica Polytechnica-Civil Engineering
Periodica Polytechnica-Civil Engineering 工程技术-工程:土木
CiteScore
3.40
自引率
16.70%
发文量
89
审稿时长
12 months
期刊介绍: Periodica Polytechnica Civil Engineering is a peer reviewed scientific journal published by the Faculty of Civil Engineering of the Budapest University of Technology and Economics. It was founded in 1957. Publication frequency: quarterly. Periodica Polytechnica Civil Engineering publishes both research and application oriented papers, in the area of civil engineering. The main scope of the journal is to publish original research articles in the wide field of civil engineering, including geodesy and surveying, construction materials and engineering geology, photogrammetry and geoinformatics, geotechnics, structural engineering, architectural engineering, structural mechanics, highway and railway engineering, hydraulic and water resources engineering, sanitary and environmental engineering, engineering optimisation and history of civil engineering. The journal is abstracted by several international databases, see the main page.
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