Ground instability detection using PS-InSAR in Lanzhou, China (Articolo in rivista)

Type
Label
  • Ground instability detection using PS-InSAR in Lanzhou, China (Articolo in rivista) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1144/qjegh2014-040 (literal)
Alternative label
  • Zeng R.Q.; Meng X.M.; Wasowski J.; Dijkstra T.; Bovenga F.; Xue Y.T.; Wang S.Y. (2014)
    Ground instability detection using PS-InSAR in Lanzhou, China
    in Quarterly journal of engineering geology and hydrogeology
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Zeng R.Q.; Meng X.M.; Wasowski J.; Dijkstra T.; Bovenga F.; Xue Y.T.; Wang S.Y. (literal)
Pagina inizio
  • 307 (literal)
Pagina fine
  • 321 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • Q2 Earth and Planetary Sciences Q2 Engineering and Engineering Geology (literal)
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  • http://www.scopus.com/inward/record.url?eid=2-s2.0-84920437683&partnerID=q2rCbXpz (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 47 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 4 (literal)
Note
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • MOE Key Laboratory of Western China's Environmental Systems, Lanzhou University, Lanzhou, Gansu, 730000, China; CNR-IRPI, via Amendola 122 I, Bari, 70126, Italy; British Geological Survey, Environmental Science Centre, Keyworth, Nottingham, NG12 5GG, United Kingdom; CNR-ISSIA, via Amendola 122 D, Bari, 70126, Italy (literal)
Titolo
  • Ground instability detection using PS-InSAR in Lanzhou, China (literal)
Abstract
  • This paper reports on the application of radar satellite data and Persistent Scatterer Inter- ferometry (PS-InSAR) techniques for the detection of ground deformation in the semi-arid loess region of Lanzhou, northwestern China. Compared with Synthetic Aperture Radar Interferometry (InSAR), PS- InSAR overcomes the problems of temporal and geometric de-correlation and atmospheric heteroge- neities by identifying persistent radar targets (PS) in a series of interferograms. The SPINUA algorithm was used to process 40 ENVISAT ASAR images for the study period 2003-2010. The analysis resulted in the identification of over 140000 PS in the greater Lanzhou area covering some 300 km2. The spatial distribution of moving radar targets was checked during a field campaign and highlights the range of ground instability problems that the Lanzhou area faces as urban expansion continues to accelerate. The PS-InSAR application detected ground deformations with rates up to 10mma-1; it resulted in the detection of previously unknown unstable slopes and two areas of subsidence. (literal)
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