SAR interferometry for structural changes detection: a demonstration test on a dam

Tarchi, D.; Rudolf, H.; Luzi, G.; Chiarantini, Leandro; Coppo, P.; Sieber, A.J.

doi:10.1109/igarss.1999.772006

Cited by 102 publications

(62 citation statements)

References 6 publications

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“…Atmospheric phase is compensated by the method proposed in (Tarchi et al 1999) which is adapted to the ground-based geometry.Delaying phase due to the weather conditions along a path of length R is :…”

Section: Gb-sar Error Source Analysismentioning

confidence: 99%

“…With the flexibility, GB-SAR can acquire deformations from as large as several meters per hour to as small as few millimeters per year by adjusting the observation model and period. So it can be applied in open pit slope stability monitoring (Casagli et al, Farina et al, 2011;Farina et al, 2012;Mecatti et Al., 2010;and Severin et al, 2011), landslides monitoring (Tarchi et al, 2003b;Luzi et al, 2006;Herrera et al, 2009;Corsini et al, 2013;Barla et al, 2010;Schulz et al, 2012), urban monitoring (Pieraccini et al, 2004;Tapete et al, 2013;Pipia et al, 2013), structure monitoring (Tarchi et al, 1997), dam monitoring (Tarchi et al,1999;Alba et al, 2008;Luzi et al, 2010a), and glacier monitoring (Luzi et al, 2007, Noferini et al, 2009Hyangsun and Hoonyol, 2011). GB-SAR data can be acquired using two types modes: the continuous (C-GBSAR) and the dis-continuous (D-GBSAR).…”

Section: Introductionmentioning

confidence: 99%

“…Ground Based Synthetic Aperture Radar (GB-SAR) is a radarbased terrestrial remote sensing imaging system (Tarchi et al, 1999), consisting of a precision rail track and a radar sensor emitting and receiving microwaves repeat-pass along the rail (Noferini, 2004). It obtains the target deformation by interfering the observation data.…”

Section: Introductionmentioning

confidence: 99%

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A Rail Central Displacement Method About Gb-Sar

Peng

Cai

Yang

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:This paper presents a new method to correct rail errors of Ground Based Synthetic Aperture Radar (GB-SAR) in the discontinue mode. Generally, "light positioning" is performed to mark the GB-SAR position in the dis-continuous observation mode. Usually we assume there is no difference between the marked position and the real installation position. But in fact, it is hard to keep the GB-SAR positions of two campaigns the same, so repositioning errors can't be neglected. In order to solve this problem, we propose an algorithm to correct the rail error after analyzing the GB-SAR rail error geometry. Results of the simulation experiment and the real experiment of a landslide in Lvliang, Shanxi, China, show the proposed method achieves an mm-level precision, enabling the D-GBSAR mode to be used in engineering projects.

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Section: Gb-sar Error Source Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Rail Central Displacement Method About Gb-Sar

Peng

Cai

Yang

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…On the other hand, in the last years, GBInSAR has proven to be a reliable remote sensing tool which enhances the advantages of the spaceborne InSAR and provides displacement maps with high spatial and temporal resolutions and accuracy (Antonello et al, 2004;Atzeni et al, 2001a;Barbieri et al, 2004;Barla et al, 2010;Casagli et al, 2009;Luzi et al, 2006;Pieraccini et al, 2003;Rudolf et al, 1999;Tarchi et al, 1997Tarchi et al, , 1998Tarchi et al, , 1999Tarchi et al, , 2000a. In particular, its high acquisition frequency (up to one image every 6-7 min) and a rapid deployment make it a promising tool for managing local (at single slope scale) emergencies.…”

Section: Introductionmentioning

confidence: 99%

Using ground based radar interferometry during emergency: the case of the A3 motorway (Calabria Region, Italy) threatened by a landslide

Ventisette

Intrieri

Luzi

et al. 2011

Nat. Hazards Earth Syst. Sci.

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Abstract. The rapid assessment of the evolution of the phenomena which occur during an emergency, along with an all weather and h24 monitoring capability, are probably the main characteristics of a system aimed at optimizing intervention in natural disasters, such as landslide collapses. A few techniques are able to provide all these features remotely, hence assuring safe conditions to operators. This paper reports on an application of the GB-InSAR (Ground-Based Interferometric Synthetic Aperture Radar) technique to monitor a landslide threatening an infrastructure, the A3 motorway in the Calabria Region (Southern Italy), in emergency conditions. Here, it is evaluated how well this technique is able to satisfy these requirements. On 30 January 2009, a mass movement never detected before and located near Santa Trada viaduct caused the closure of that sector of the A3 motorway. The prompt installation of a GB-InSAR permitted to follow and to understand the temporal evolution of the landslide until the end of the emergency and then safely reopen of the motorway. The main steps of the GB-InSAR interferometry data interpretation used in managing this emergency are described and discussed here. In detail, data collected through a continuous acquisition have permitted the division of the unstable area into three smaller zones characterized by different extents of displacement.

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“…This configuration offers the best GBSAR performances in terms of measurement density (this is related to the high coherence of the C-GBSAR data), precision and robustness. Some C-GBSAR applications described in the literature include: slope monitoring in open pit mines (Noon et al, 2007;Farina et al, 2012); slope instability monitoring related to rockslides (Tarchi et al, 2005), landslides (Barla et al, 2010) or volcanoes (Casagli et al 2010); urban monitoring (Pipia et al, 2013); structure monitoring (Tarchi et al, 1997); dam monitoring (Tarchi et al, 1999); dike monitoring (Monserrat, 2012); glacier monitoring (Noferini et al, 2009);etc. In the D-GBSAR, the radar is installed and dismounted at each acquisition campaign, revisiting a given site periodically, e.g. monthly, yearly, etc.…”

Section: Introductionmentioning

confidence: 99%

Data Processing and Analysis Tools Based on Ground-Based Synthetic Aperture Radar Imagery

Crosetto

Monserrat

Luzi

et al. 2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The Ground-Based SAR (GBSAR) is a terrestrial remote sensing technique used to measure and monitor deformation. In this paper we describe two complementary approaches to derive deformation measurements using GBSAR data. The first approach is based on radar interferometry, while the second one exploits the GBSAR amplitude. In this paper we consider the so-called discontinuous GBSAR acquisition mode. The interferometric process is not always straightforward: it requires appropriate data processing and analysis tools. One of the main critical steps is phase unwrapping, which can critically affect the deformation measurements. In this paper we describe the procedure used at the CTTC to process and analyse discontinuous GBSAR data. In the second part of the paper we describe the approach based on GBSAR amplitude images and an image-matching method.

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SAR interferometry for structural changes detection: a demonstration test on a dam

Cited by 102 publications

References 6 publications

A Rail Central Displacement Method About Gb-Sar

A Rail Central Displacement Method About Gb-Sar

Using ground based radar interferometry during emergency: the case of the A3 motorway (Calabria Region, Italy) threatened by a landslide

Data Processing and Analysis Tools Based on Ground-Based Synthetic Aperture Radar Imagery

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