Volume 22, Issue 3 (Fall 2018)                   JWSS 2018, 22(3): 213-234 | Back to browse issues page

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Shirani K. Detection, Monitoring and Mechanism of Landslide using Persistent Scattering Ineterferometry (PSI). JWSS. 2018; 22 (3) :213-234
URL: http://jstnar.iut.ac.ir/article-1-3536-en.html
1. Soil Conservation and Watershed Management Research Department, Isfahan Agricultural and Natural Resources Research and Education Center, AREEO, Isfahan, Iran. , K.Shirani@areeo.ir
Abstract:   (4654 Views)
The persistent scattering interferometry (PSI) technique is a valuable tool in displacements' monitoring of earth's surface. The persistent scattering interferometry (PSI) based on persistent scatterrer (PSInSAR) is one of the techniques used to reduce constraints (temporal and spatial incoherency). It is based on persistent scatterer and monitor displacement of only the pixels with timely-constant properties of scatterer. In order to detect and monitor landslides,  two time series SAR data sets including PALSAR ascending images from 2007 to 2010 and ASAR images from 2003 to 2010 with C-band and L-band wavelength were applied, respectively. Also, the PSI technique was implemented in a landslide near Noghol village, Padena, Semirom of Isfahan province. The results revealed  that both PALSAR and ASAR data set were efficient in identifying Noghol landslide. The results obtained  from ASAR and PALSAR images processing (with the values of 1253 mm and 1578 mm in two stages of time 4 and 7 years, respctively) were compared. The obtained vertical displacement's rate of the landslide by using ASAR data was more suitable because of its descending orbit. However, PALSAR images that indetified  more persistent scatterrer points were better in the  detection of the  landslide area. The results of GPS and PSInSAR techniques revealed that landslide displacement values and aspect were the same, confirming 135 centimeters of displacement to the  west aspect. Finally, a combination of radar data in two different passes provided the possibility of monitoring the mechanism of landslide and its movement direction.
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Type of Study: Research | Subject: Ggeneral
Received: 2017/06/27 | Accepted: 2017/10/30 | Published: 2018/11/15

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