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Armas, I., Mendes, D. A., Popa, R. G., Gheorghe, M. & Popovici, D. (2017). Long-term ground deformation patterns of Bucharest using multi-temporal InSAR and multivariate dynamic analyses: a possible transpressional system?. Scientific Reports. 7

A. Iuliana et al.,  "Long-term ground deformation patterns of Bucharest using multi-temporal InSAR and multivariate dynamic analyses: a possible transpressional system?", in Scientific Reports, vol. 7, 2017

@article{iuliana2017_1731867507702,
	author = "Armas, I. and Mendes, D. A. and Popa, R. G. and Gheorghe, M. and Popovici, D.",
	title = "Long-term ground deformation patterns of Bucharest using multi-temporal InSAR and multivariate dynamic analyses: a possible transpressional system?",
	journal = "Scientific Reports",
	year = "2017",
	volume = "7",
	number = "",
	doi = "10.1038/srep43762",
	url = "https://www.nature.com/articles/srep43762"
}

TY  - JOUR
TI  - Long-term ground deformation patterns of Bucharest using multi-temporal InSAR and multivariate dynamic analyses: a possible transpressional system?
T2  - Scientific Reports
VL  - 7
AU  - Armas, I.
AU  - Mendes, D. A.
AU  - Popa, R. G.
AU  - Gheorghe, M.
AU  - Popovici, D.
PY  - 2017
SN  - 2045-2322
DO  - 10.1038/srep43762
UR  - https://www.nature.com/articles/srep43762
AB  - The aim of this exploratory research is to capture spatial evolution patterns in the Bucharest metropolitan area using sets of single polarised synthetic aperture radar (SAR) satellite data and multi-temporal radar interferometry. Three sets of SAR data acquired during the years 1992–2010 from ERS-1/-2 and ENVISAT, and 2011–2014 from TerraSAR-X satellites were used in conjunction with the Small Baseline Subset (SBAS) and persistent scatterers (PS) high-resolution multi-temporal interferometry (InSAR) techniques to provide maps of line-of-sight displacements. The satellite-based remote sensing results were combined with results derived from classical methodologies (i.e., diachronic cartography) and field research to study possible trends in developments over former clay pits, landfill excavation sites, and industrial parks. The ground displacement trend patterns were analysed using several linear and nonlinear models, and techniques. Trends based on the estimated ground displacement are characterised by long-term memory, indicated by low noise Hurst exponents, which in the long-term form interesting attractors. We hypothesize these attractors to be tectonic stress fields generated by transpressional movements.
ER  -