Surface deformation monitoring of Sinabung volcano using multi temporal InSAR method and GIS analysis for affected area assessment

Aditiya, Arif; Aoki, Yosuke; Anugrah, R D

doi:10.1088/1757-899x/344/1/012003

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…InSAR exploits the phase change data between multiple SAR acquisitions of the target area to quantify Earth surface and structural deformation to a millimetric scale [1]. InSAR has been utilised in both geophysical and civil engineering investigations, including tectonics [2][3][4][5][6][7], volcanology [8][9][10], slope geohazards [11][12][13], mining [14,15], tunnelling [16,17] and infrastructure monitoring [18][19][20][21][22][23]. More recently, with innovations in unmanned aerial vehicle (UAV) and software defined radar (SDR) technologies, several authors have attempted to develop drone InSAR, where drones are classified as small and lightweight UAVs.…”

Section: Introductionmentioning

confidence: 99%

The Development of Copper Clad Laminate Horn Antennas for Drone Interferometric Synthetic Aperture Radar

Carpenter

Lawrence

Ghail

et al. 2023

Drones

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Interferometric synthetic aperture radar (InSAR) is an active remote sensing technique that typically utilises satellite data to quantify Earth surface and structural deformation. Drone InSAR should provide improved spatial-temporal data resolutions and operational flexibility. This necessitates the development of custom radar hardware for drone deployment, including antennas for the transmission and reception of microwave electromagnetic signals. We present the design, simulation, fabrication, and testing of two lightweight and inexpensive copper clad laminate (CCL)/printed circuit board (PCB) horn antennas for C-band radar deployed on the DJI Matrice 600 Pro drone. This is the first demonstration of horn antennas fabricated from CCL, and the first complete overview of antenna development for drone radar applications. The dimensions are optimised for the desired gain and centre frequency of 19 dBi and 5.4 GHz, respectively. The S11, directivity/gain, and half power beam widths (HPBW) are simulated in MATLAB, with the antennas tested in a radio frequency (RF) electromagnetic anechoic chamber using a calibrated vector network analyser (VNA) for comparison. The antennas are highly directive with gains of 15.80 and 16.25 dBi, respectively. The reduction in gain compared to the simulated value is attributed to a resonant frequency shift caused by the brass input feed increasing the electrical dimensions. The measured S11 and azimuth HPBW either meet or exceed the simulated results. A slight performance disparity between the two antennas is attributed to minor artefacts of the manufacturing and testing processes. The incorporation of the antennas into the drone payload is presented. Overall, both antennas satisfy our performance criteria and highlight the potential for CCL/PCB/FR-4 as a lightweight and inexpensive material for custom antenna production in drone radar and other antenna applications.

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Section: Introductionmentioning

confidence: 99%

The Development of Copper Clad Laminate Horn Antennas for Drone Interferometric Synthetic Aperture Radar

Carpenter

Lawrence

Ghail

et al. 2023

Drones

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“…Studies have also used DInSAR for the monitoring of infrastructure networks [19][20][21]. On the other hand, GIS-based procedures from DInSAR data have been used for decision making in different contexts, for urban areas, e.g., [22], volcanic scenarios, e.g., [23], landslides, e.g., [24], and mining applications, e.g., [25]. Unlike these studies, this research presents an innovative procedure used as a monitoring tool, based on the implementation of GIS catalogs, which clearly supports the effectiveness of the use of SAR data and land registers for maintenance and decision making.…”

Section: Introductionmentioning

confidence: 99%

SAR Interferometry Data Exploitation for Infrastructure Monitoring Using GIS Application

et al. 2023

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Monitoring structural stability in urban areas and infrastructure networks is emerging as one of the dominant socio-economic issues for population security. The problem is accentuated by the age of the infrastructure because of increasing risks due to material deterioration and loss of load capacity. In this case, SAR satellite data are crucial to identify and assess the deteriorating conditions of civil infrastructures. The large amount of data available from SAR satellite sensors leads to the exploitation and development of new GIS-based procedures for rapid responses and decision making. In recent decades, the DInSAR technique has been used efficiently for the monitoring of structures, providing measurement points located on structures with millimeter precision. Our study has analyzed the behavior of structures in settlements, attempting to discuss the interactions of soil and structures, and examining the behavior of different types of structures, such as roads and buildings. The method used is based on long-term SAR interferometry data and a semi-automatic procedure to measure the displacement (mm/year) of structures, through a GIS-based application performed in the “Implemented MOnitoring DIsplacement” I.MODI platform. The analysis provides extensive information on long-term spatial and temporal continuity of up to 25 years of record, using satellite SAR multi-sensors from ERS, Envisat, and COSMO-SkyMed. The interpretation uses time series spatial analysis, supported by orthophotos, and layers of the DBTR (regional topographic database), Digital Surface model (DSM), and hydrogeological map to show anomalous areas with a high displacement rate and to observe the correlation of settlements in the sediments. With the satellite information and Geographic Information System (GIS), we were able to observe relevant parameters, such as the velocity of advance in the direction of the slope (deformation profiles), the cumulative displacement, and the trend changes in structures. The results illustrate an innovative procedure that allows the management of DInSAR data to facilitate the effective management of structures in which a monitoring protocol was developed at different spatial scales, integrating the information into a GIS.

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“…e use of DInSAR in mining subsidence is also a hot research topic and includes applications in the detection of subsidence caused by mining [23,24], the prediction of mining-induced geological disasters [25,26], and the assessment of the impact of mining on surface buildings [27,28].…”

Section: Introductionmentioning

confidence: 99%

An Approach for Estimating Underground‐Goaf Boundaries Based on Combining DInSAR with a Graphical Method

Mengguang

et al. 2020

Advances in Civil Engineering

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The goaf left behind after mining has the potential to induce serious geological disasters due to the damaged internal structure of the rock. Estimating the boundary of the underground goaf can effectively control the occurrence of such disasters. However, traditional geophysical methods are inefficient and expensive and are particularly difficult to apply for a wide detection range. This paper proposes a new method for estimating the boundary of underground goaf using the differential interference synthetic aperture radar technique (DInSAR). More specifically, DInSAR is used to obtain the isoline of the subsidence basin above the goaf, and the direction of the two main sections of the goaf is then determined according to the basic law of mining subsidence. Following this, the basic principles of the probability integral and the graphical methods are combined to determine the mining boundary of the strike section and the incline section of the goaf. Finally, six geometric parameters reflecting the boundary of the goaf are obtained. Experiments on simulated and measured data indicate that the proposed method is feasible, with the average relative errors of the simulated and measured data reaching and maintained at 2.2% and 3.7%, respectively.

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Surface deformation monitoring of Sinabung volcano using multi temporal InSAR method and GIS analysis for affected area assessment

Cited by 4 publications

References 12 publications

The Development of Copper Clad Laminate Horn Antennas for Drone Interferometric Synthetic Aperture Radar

The Development of Copper Clad Laminate Horn Antennas for Drone Interferometric Synthetic Aperture Radar

SAR Interferometry Data Exploitation for Infrastructure Monitoring Using GIS Application

An Approach for Estimating Underground‐Goaf Boundaries Based on Combining DInSAR with a Graphical Method

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