IAG-IASPEI 2017

Presentation information

Oral

Joint Symposia » J09. Geodesy and seismology general contributions

[J09-5] Geodesy and seismology general contributions V

Fri. Aug 4, 2017 10:30 AM - 12:00 PM Room 401 (Kobe International Conference Center 4F, Room 401)

Chairs: Hiroshi Munekane (Geospatial Information Authority of Japan) , Ting Chen (Wuhan University)

11:45 AM - 12:00 PM

[J09-5-06] Using TerraSAR-X Interferometry and GPS to study slowly moving landslide in a vegetated terrain

Sara Mirzaee2, Mahdi Motagh1, Bahman Akbari2, Mahmud Haghshenas Haghighi1, Sigrid Roessner1, Hans.Ulrich Wetzel1 (1.GFZ German Research Center for Geosciences, 2.Forest, Range and Watershed Management of Iran)

Landslide is a type of erosion processes that occurs mostly in mountainous areas, and can threaten life and cause significant damage to properties. In this regard, proper monitoring of mass movement activities using multitemporal remote sensing imagery is a crucial task for landslide hazard assessment.
As one of the most ancient and tourist cities in northern Iran, Masouleh is located in a high mountainous region. 40 percent of the whole sub-basin consists of unstable areas and mass movement appears in different forms of falls, creep and flows. In this paper we have used SqueeSAR technique using a dataset of 33 TerraSAR-X spotlight images covering a period of 18 months between June 2015 and December 2016 to investigate the kinematic of Masouleh landslide. Among different persistent scatterer interferometry techniques for deformation analysis, SqueeSAR works more efficiently in non-urban areas, which are prone to have more distributed scatterers. In addition, interferometric measurements are compared with observations from 21 GPS stations, which were collected in 3 epochs within 8 months from November 2015 to July. The maximum slope displacement velocity detected by SqueeSAR analysis is about 75 millimeters per year. InSAR loses coherence in fast moving areas which have moved about 39 cm according to GPS observations. In general, both GPS and InSAR showed similar pattern and direction of movement in the sliding slope.