Use of SAR interferometry for detecting and assessing ground subsidence

Raucoules, Daniel; Colesanti, C.; Carnec, C.

doi:10.1016/j.crte.2007.02.002

Cited by 108 publications

(68 citation statements)

References 41 publications

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“…Such a visual selection on large interferogram sets was used in previous studies and provided reliable results (Le Mouelic et al, 2005;Parcharidis et al, 2006;Raucoules et al, 2007). In a first selection 100 interferograms were chosen (Table 1).…”

Section: The Sar Data Usedmentioning

confidence: 99%

Ground deformation detection of the greater area of Thessaloniki (Northern Greece) using radar interferometry techniques

Raucoules¹,

Parcharidis

Feurer³

et al. 2008

Nat. Hazards Earth Syst. Sci.

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Abstract. In the present study SAR interferometric techniques (stacking of conventional interferograms and Permanent Scatterers), using images from satellites ERS-1 and 2, have been applied to the region of Thessaloniki (northern Greece). The period covered by the images is 1992-2000. Both techniques gave good quantitative and qualitative results. The interferometric products were used to study ground surface deformation phenomena that could be related to the local tectonic context, the exploitation of underground water and sediments compaction.

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Section: The Sar Data Usedmentioning

confidence: 99%

Ground deformation detection of the greater area of Thessaloniki (Northern Greece) using radar interferometry techniques

Raucoules¹,

Parcharidis

Feurer³

et al. 2008

Nat. Hazards Earth Syst. Sci.

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“…Many PSI approaches have been developed over the years; their description is beyond the scope of this article. Examples of PSInSAR application in the field of mine surface 14,15,25,26,28,30,34,35,38 and urban [54][55][56][57][58][59][60][61][62][63][64] subsidence have shown the large spectrum of this technique on ground deformation assessment. About 21 TerraSAR X-band ( -3.1 cm) images have been used by Liu et al 28 to extract subsidence hazard map (SHM) around Xishan coal mine in China, that suffered from subsidence related to underground mining activities.…”

Section: Analyses On Applications Of Dinsar In Surface Subsidencementioning

confidence: 99%

Application of DInSAR in Mine Surface Subsidence Monitoring and Prediction

Ishwar¹,

Kumar²

2017

Current Science

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Most studies of surface subsidence and its impacts have been done on underground coal mines. There are few studies on the occurrences of surface subsidence in underground metal mines, particularly in India, even though the fundamental subsidence engineering principles are the same for both coal and metal mines. The current ground-based measurement techniques monitor ground subsidence on a particular point and are time-consuming as well as costly. To study hardrock mine surface deformation due to underground mining, new and effective technologies must be adopted. The spaceborne subsidence monitoring has emerged as a better technique after the development of satellite radar interferometry. The technology is fast improving with enhanced synthetic aperture radar (SAR) sensors on different spaceborne platforms. Differential interferometric SAR techniques are widely used to measure the topographic profile and surface deformations. This article reviews the applications of spaceborne SAR interferometric techniques in the prediction and monitoring of surface subsidence due to underground mining.

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“…The temporal gaps occur for the following reasons. The main limitation in the detection of ground surface deformation using the InSAR technique is the loss of coherence (i.e., decorrelation) [18]. For an InSAR pair with severe decorrelation, the speckle noise phase usually dominates the interferometric phase of the InSAR pair [18,19].…”

Section: Introductionmentioning

confidence: 99%

Deriving Dynamic Subsidence of Coal Mining Areas Using InSAR and Logistic Model

et al. 2017

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Abstract:The seasonal variation of land cover and the large deformation gradients in coal mining areas often give rise to severe temporal and geometrical decorrelation in interferometric synthetic aperture radar (InSAR) interferograms. Consequently, it is common that the available InSAR pairs do not cover the entire time period of SAR acquisitions, i.e., temporal gaps exist in the multi-temporal InSAR observations. In this case, it is very difficult to accurately estimate mining-induced dynamic subsidence using the traditional time-series InSAR techniques. In this investigation, we employ a logistic model which has been widely applied to describe mining-related dynamic subsidence, to bridge the temporal gaps in multi-temporal InSAR observations. More specifically, we first construct a functional relationship between the InSAR observations and the logistic model, and we then develop a method to estimate the model parameters of the logistic model from the InSAR observations with temporal gaps. Having obtained these model parameters, the dynamic subsidence can be estimated with the logistic model. Simulated and real data experiments in the Datong coal mining area, China, were carried out in this study, in order to test the proposed method. The results show that the maximum subsidence in the Datong coal mining area reached about 1.26 m between 1 July 2007 and 28 February 2009, and the accuracy of the estimated dynamic subsidence is about 0.017 m. Compared with the linear and cubic polynomial models of the traditional time-series InSAR techniques, the accuracy of dynamic subsidence derived by the logistic model is increased by about 50.0% and 45.2%, respectively.

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Use of SAR interferometry for detecting and assessing ground subsidence

Cited by 108 publications

References 41 publications

Ground deformation detection of the greater area of Thessaloniki (Northern Greece) using radar interferometry techniques

Ground deformation detection of the greater area of Thessaloniki (Northern Greece) using radar interferometry techniques

Application of DInSAR in Mine Surface Subsidence Monitoring and Prediction

Deriving Dynamic Subsidence of Coal Mining Areas Using InSAR and Logistic Model

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