Mapping surface deformation in open pit iron mines of Carajás Province (Amazon Region) using an integrated SAR analysis

Paradellá, Waldir Renato; Ferretti, A.; Mura, José Cláudio; Colombo, Davide; Gama, Fábio Furlan; Tamburini, A.; Santos, Athos Ribeiro dos; Novali, F.; Galo, Maurício; Camargo, Paulo O.; Silva, Arnaldo Q.; Silva, Guilherme G.; Silva, Aristotelina; Gomes, Leonardo Lima

doi:10.1016/j.enggeo.2015.04.015

Cited by 98 publications

(65 citation statements)

References 23 publications

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“…The precision of this analysis, based on the speckle tracking, is in the order of 1/50th to1/ 20th of an image pixel (De Zan 2014) and depends on the coherence of the image, the dimension of the investigated area (in terms of number of pixels), and on the signal-to-noise ratio (Raspini et al 2015). In this case, a pixel patch of 50 pixels was used to calculate the amplitude offset, resulting in a precision of 2-3 cm (Paradella et al 2015). This value represents the theoretical inaccuracy of this technique; however, in densely vegetated areas, possible co-registration errors can further increase the inaccuracy value (Bamler and Eineder 2005).…”

Section: Rapid Motion Tracking Analysismentioning

confidence: 99%

“…For the characterization of the landslide, two different types of SAR processing techniques were chosen to (i) investigate the prefailure movements, exploiting the SqueeSAR analysis of C-band (RADARSAT-2 and Sentinel-1) SAR images, covering the period March 2003-February 2017 and focusing mainly on the monitoring of buildings and infrastructures; (ii) analyze the surface change during the main landslide deformation phase exploiting the amplitude signal through the rapid motion tracking (RMT) technique (Paradella et al 2015;Raspini et al 2015) applied to X-band TerraSAR-X SAR images acquired immediately before and after the landslide failure.…”

Section: Introductionmentioning

confidence: 99%

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Satellite radar data for back-analyzing a landslide event: the Ponzano (Central Italy) case study

et al. 2018

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In this manuscript, an integrated strategy that exploits both phase and amplitude features of satellite SAR (synthetic aperture radar) images and ground data is proposed for deriving the deformation field induced by a complex landslide that affected part of the village of Ponzano (Abruzzi Region, Central Italy). The February 12, 2017, landslide was triggered by the combined effects of intense rainfalls and snowmelt that saturated the slope. The SqueeSAR algorithm was applied to two C-band SAR datasets, composed by Radarsat-2 and Sentinel-1 images, spanning a nineyear time interval before the landslide occurrence. Moreover, the amplitude information carried by two TerraSAR-X images, acquired immediately before and after the event, was exploited to derive the total displacement generated by the landslide movement by means of the RMT (rapid motion tracking) algorithm. The obtained results allow describing the landslide behavior before and after its failure. In particular, the back-monitoring analysis shows that the landslide was already slowly moving, with deformation rates increasing from the Radarsat-2 to the Sentinel-1 monitored periods, 10 years before its complete mobilization. The landslide failure of February 2017 produced maximum displacements of about 10 m in some sectors of the affected area. The registered deformation rates and the localization of the maximum displacements areas were confirmed by field data, collected during a field campaign and a helicopter recognizance of the damaged areas, both performed after the event.

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Section: Rapid Motion Tracking Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Satellite radar data for back-analyzing a landslide event: the Ponzano (Central Italy) case study

et al. 2018

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“…Both limitations need a careful assessment before starting any new PSI analysis. In 2010 a new algorithm -SqueeSAR 35,65,66 -was developed. This is an extension of the PSInSAR algorithm, that exploits both 'point-wise' PS and also provides information in low reflectivity homogeneous areas by identifying 'spatially distributed scatterers' (DS).…”

Section: Analyses On Applications Of Dinsar In Surface Subsidencementioning

confidence: 99%

“…The complexity of open-pit iron mining in Carajás Mineral Province, Brazil, makes DInSAR a challenging application. However, Paradella et al 66 have demonstrated SqueeSAR as an effective tool for deformation monitoring which showed good agreement with geodetic survey measurements. The validation of PSI results has given valuable inputs for research on PSI and for its development, and has proved to be key for the acceptability of the technique at scientific, technical and commercial level 52 .…”

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 integration of SAR imaging techniques, geographic information systems (GIS) and geotechnical measurements to monitor surface subsidence induced by mining as a complementary tool to traditional survey methods was discussed by Ge, Chang and Rizos (2007) and Ng et al (2009). An integration of SAR techniques to monitor distinct displacements regimes (small to high deformation rates) was proposed by Paradella et al (2015).…”

Section: Introductionmentioning

confidence: 99%

Application of persistent scatterers interferometry for surface displacements monitoring in N5E open pit iron mine using TerraSAR-X data, in Carajás Province, Amazon region

et al. 2017

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Carajás Mineral Province, Amazon region, is the most important one in Brazil. Vale S.A. Company has the right to operate in the area of the N5E mine. The work is conducted on rock alteration products of low geomechanical quality related to sandstones, siltstones, and a lateritic cover. In order to monitor ground deformation, 33 TerraSAR-X images covering the period of March 2012-April 2013 were used in the investigation. An interferometric synthetic aperture radar (InSAR) approach based on permanent scatterer interferometry (PSI) using an interferometric point target analysis algorithm was applied. Results demonstrated that most of the area was considered stable during the time span of the image acquisition. However, persistent scatterers (PSs) with high deformation rates were mapped over a landfill probably related to settlements. To validate the PSI data, graphs were generated with the displaced information based on topographic measurements in the field. The graphs showed that the surface deformations during TSX-1 runway coverage are within the miner's safety threshold and do not present a risk of major problems. The PSI data provided a synoptic and detailed view of the deformation process that affects the mining complex without the need of field campaign or instrumentation.

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Mapping surface deformation in open pit iron mines of Carajás Province (Amazon Region) using an integrated SAR analysis

Cited by 98 publications

References 23 publications

Satellite radar data for back-analyzing a landslide event: the Ponzano (Central Italy) case study

Satellite radar data for back-analyzing a landslide event: the Ponzano (Central Italy) case study

Application of DInSAR in Mine Surface Subsidence Monitoring and Prediction

Application of persistent scatterers interferometry for surface displacements monitoring in N5E open pit iron mine using TerraSAR-X data, in Carajás Province, Amazon region

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