Validation and comparison of Advanced Differential Interferometry Techniques: Murcia metropolitan area case study

Herrera, Gerardo; Tomás, Roberto; López-Sánchez, Juan M.; Delgado, José; Vicente, Fernando; Mulas, J.; Cooksley, G.; Sánchez, Mónica López; Duro, Javier; Arnaud, Alain; Blanco, Pablo; Duque, Sergi; Mallorquí, J.J.; Vega‐Panizo, Rogelio de la; Monserrat, Oriol

doi:10.1016/j.isprsjprs.2008.09.008

Cited by 51 publications

(37 citation statements)

References 16 publications

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“…This is a good agreement between both datasets if we assume that the common temporal span is a six-month period. The estimated error in line with previous works that demonstrate the usefulness of advanced DInSAR techniques (SqueeSAR TM in this case) to monitor a moderate subsidence phenomena providing high precision and spatial accuracy [54][55][56][57][58]. Therefore retrieved SqueeSAR TM results seem to be reliable for the regional detection of residual subsidence surrounding the subsidence troughs produced by underground mining excavation works.…”

Section: Analysis and Validation Of The Results In The Bobrek-centrumsupporting

confidence: 88%

Combination of Conventional and Advanced DInSAR to Monitor Very Fast Mining Subsidence with TerraSAR-X Data: Bytom City (Poland)

et al. 2015

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Section: Analysis and Validation Of The Results In The Bobrek-centrumsupporting

confidence: 88%

Combination of Conventional and Advanced DInSAR to Monitor Very Fast Mining Subsidence with TerraSAR-X Data: Bytom City (Poland)

et al. 2015

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“…Previous works have already demonstrated and validated with in situ data the application of different PSI techniques, including CPT, in this area (Tomás et al, 2005;Herrera et al, 2008;Tomás, 2009). The present work is devoted to formulate a simple subsidence model and to apply it to this scenario as a prediction tool.…”

Section: Introductionmentioning

confidence: 93%

A ground subsidence study based on DInSAR data: Calibration of soil parameters and subsidence prediction in Murcia City (Spain)

Tomás

Herrera

Delgado

et al. 2010

Engineering Geology

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“…A detailed description of this method can be found in Crosetto et al (2008) where some examples of urban subsidence monitoring are shown. To date, the performance of the SPN method has been mainly validated in subsidence analysis (Herrera et al 2009a;Raucoules et al 2009). …”

Section: The Stable Point Network Techniquementioning

confidence: 99%

Analysis with C- and X-band satellite SAR data of the Portalet landslide area

et al. 2010

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This paper describes the use of the Stable Point Network technique, a Persistent Scatterer Interferometry SAR technique, for the analysis of the Portalet landslide area (Central Pyrenees, Spain). For this purpose, different SAR datasets acquired by ERS-1, ERS-2, ENVISAT and TerraSAR-X satellites have been analysed. The use of different SAR images acquired by satellite radar sensors operating at different microwave lengths has allowed for a comparative assessment and illustration of the advantages and disadvantages of these satellites for landslide detection and monitoring. In the introduction, differential interferometry and the study area are briefly described. Then the specifics of the SPN processing and the results of the different datasets are described and compared. In Analysis of the results: the Portalet landslide area, the Portalet landslide area is introduced and the radar displacement measurements are analysed with available geoinformation data. Additionally, X-band measurements are compared with those gathered by a ground-based SAR for a previous project. Finally, the most relevant conclusions of this work are discussed.

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Validation and comparison of Advanced Differential Interferometry Techniques: Murcia metropolitan area case study

Cited by 51 publications

References 16 publications

Combination of Conventional and Advanced DInSAR to Monitor Very Fast Mining Subsidence with TerraSAR-X Data: Bytom City (Poland)

Combination of Conventional and Advanced DInSAR to Monitor Very Fast Mining Subsidence with TerraSAR-X Data: Bytom City (Poland)

A ground subsidence study based on DInSAR data: Calibration of soil parameters and subsidence prediction in Murcia City (Spain)

Analysis with C- and X-band satellite SAR data of the Portalet landslide area

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