d CNR-ISSIA, via Amendola 122 D, 70126 Bari, Italy 7 8 * Corresponding author. TEL: +86-931-8912880; FAX: +86-931-8912330; E-mail: xmmeng@lzu.edu.cn 9 (Meng, X.M.) 10 11 Abstract: This paper reports on the application of radar satellite data and Persistent Scatterer 12 Interferometry (PS-InSAR) techniques for the detection of ground deformation in the semi-arid loess 13 region of Lanzhou, northwestern China. Compared to Synthetic Aperture Radar Interferometry (In14 SAR), PS-InSAR overcomes the problems of temporal and geometrical de-correlation and atmospheric 15 heterogeneities by identifying persistent radar targets (PS) in a series of interferograms. The SPINUA 16 algorithm was used to process 40 ENVISAT ASAR images for the target period 2003-2010. The analysis 17 resulted in the identification of over 140,000 PS in the greater Lanzhou area covering some 300 km 2 . 18 The spatial distribution of moving radar targets was checked during a field campaign and highlights 19 the range of ground instability problems that the Lanzhou area faces as urban expansion continues to 20 accelerate. The PS-InSAR application detected ground deformations with rates up to 10 mm/year; it 21 resulted in the detection of previously unknown unstable slopes and two areas of subsidence. 22 23
Ground instability detection using PS-InSARin Lanzhou
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