2016
DOI: 10.1016/j.marpetgeo.2016.08.014
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Monitoring land motion due to natural gas extraction: Validation of the Intermittent SBAS (ISBAS) DInSAR algorithm over gas fields of North Holland, the Netherlands

Abstract: Access from the University of Nottingham repository:http://eprints.nottingham.ac.uk/35962/1/AAM%20-%20Monitoring%20land%20motion%20_ %20Marine%20and%20Petroleum%20Geology.pdf Copyright and reuse:The Nottingham ePrints service makes this work by researchers of the University of Nottingham available open access under the following conditions. This article is made available under the Creative Commons Attribution Non-commercial No Derivatives licence and may be reused according to the conditions of the licence. Fo… Show more

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Cited by 35 publications
(34 citation statements)
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“…Finally, Sentinel-1A ascending mode images acquired between October 2014 and May 2016 (Table 1) and made available via the Sentinel Scientific Data Hub [27] were processed using an improved version of the ISBAS technique [25][26]. To create the small baseline interferograms a threshold of one-year temporal baseline was used, while values of the perpendicular baseline were all below 200 m, hence complying with the common threshold used in SBAS processing.…”
Section: Monitoring Datamentioning
confidence: 99%
“…Finally, Sentinel-1A ascending mode images acquired between October 2014 and May 2016 (Table 1) and made available via the Sentinel Scientific Data Hub [27] were processed using an improved version of the ISBAS technique [25][26]. To create the small baseline interferograms a threshold of one-year temporal baseline was used, while values of the perpendicular baseline were all below 200 m, hence complying with the common threshold used in SBAS processing.…”
Section: Monitoring Datamentioning
confidence: 99%
“…In this paper, we take a first step towards a full understanding of the potential of the ISBAS method for measuring surface motion of peatland areas and have the aim of navigating any future research for full validation of this method. Due to the limited archive of ground survey observations, quantitative validation [47] is rarely possible over vegetated and rural areas and many ISBAS surveys use qualitative contextual comparisons, such as correlating patterns of surface motion with geology [42,48] to validate the satellite measurements. Another issue is that existing ground surveys of vegetated and rural terrain are rarely designed to validate the spatial extent of the ISBAS survey pixels.…”
Section: Introductionmentioning
confidence: 99%
“…However, the predominance of non-irrigated arable land and pastures, covering~130,000 km 2 across the landmass, exerts significant control on the potential for InSAR methods to identify scatterers in Great Britain, with particularly critical effects on rural and grassland regions where only a few radar targets per square kilometre can be extracted and monitored via InSAR processing of C-band data [10]. Novel InSAR methods, such as SqueeSAR™ [35] and ISBAS [36,37], aim to increase the coverage of results in non-urban regions by considering, respectively, distributed scatterers (e.g., debris, non-cultivated land, or low vegetation cover), or intermittently coherent surfaces. We assess ISBAS density using the freely-available CORINE land cover data for the reference year 2012 (CLC2012) and at 100 m resolution, following the empirical approach illustrated in [38].…”
Section: Land Cover Constraintsmentioning
confidence: 99%