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Author:

Liu, Xiaojie (Liu, Xiaojie.) | Zhao, Chaoying (Zhao, Chaoying.) | Zhang, Qin (Zhang, Qin.) | Lu, Zhong (Lu, Zhong.) | Dai, Fuchu (Dai, Fuchu.) (Scholars:戴福初)

Indexed by:

CPCI-S

Abstract:

Multi-source Synthetic Aperture Radar (SAR) datasets are used to investigate the deformation history and failure mechanism of small-scale loess landslide in the Heifangtai loess terrace, Gansu province, China. A total of 65 SAR datasets acquired by L-band ascending ALOS/PALSAR, X-band descending TerraSAR-X and C-band descending Sentinel-1A/B covering the different periods of Heifangtai terrace are fully exploited. In addition, groundwater level data are also involved to analyze the failure mechanism of loess landslide. The displacements occurred during the past eleven years were quantitatively identified for firstly by InSAR technique. The results show that three slopes, failed on October 1, 2017 had large cumulative deformations from January 2016 to November 2016. The acceleration dates of the deformation for the three slopes were successfully captured by Sentinel-1A/B data. Furthermore, the result shows that the magnitude of the landslide deformation is closely correlated to the groundwater level variation.

Keyword:

failure mechanism InSAR deformation monitoring Loess landslide

Author Community:

  • [ 1 ] [Liu, Xiaojie]Changan Univ, Sch Geol Engn & Geomat, Xian 710054, Peoples R China
  • [ 2 ] [Zhao, Chaoying]Changan Univ, Sch Geol Engn & Geomat, Xian 710054, Peoples R China
  • [ 3 ] [Zhang, Qin]Changan Univ, Sch Geol Engn & Geomat, Xian 710054, Peoples R China
  • [ 4 ] [Zhao, Chaoying]State Key Lab Geoinformat Engn, Xian 710054, Shaanxi, Peoples R China
  • [ 5 ] [Zhang, Qin]State Key Lab Geoinformat Engn, Xian 710054, Shaanxi, Peoples R China
  • [ 6 ] [Lu, Zhong]Southern Methodist Univ, Roy M Buffington Dept Earth Sci, Dallas, TX 75275 USA
  • [ 7 ] [Dai, Fuchu]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Zhao, Chaoying]Changan Univ, Sch Geol Engn & Geomat, Xian 710054, Peoples R China;;[Zhao, Chaoying]State Key Lab Geoinformat Engn, Xian 710054, Shaanxi, Peoples R China

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Source :

2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019)

ISSN: 2153-6996

Year: 2019

Page: 2074-2077

Language: English

Cited Count:

WoS CC Cited Count: 3

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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