Landslide Monitoring Using Insar Time-Series and GPS Observations, Case Study: Shabkola Landslide in Northern Iran

Abstract

Shabkola is a village located in Mazandaran province of northern Iran that suffers from the mass movement happening in the upstream. Deforestation and changes to land use are the main reasons for the soil instability in this region, which together with steep slope, relatively high precipitation rate and natural erosion has led to such a condition. The area of mass movement is approximately 90 hectares which is a big threat for people living in the region. In this study, we have utilized two different geodetic techniques including InSAR time-series analysis and GPS measurements to assess slope stability in Shabkola. The SAR dataset includes 19 ALOS/PALSAR images spanning from July 2007 to February 2011 while GPS observations are collected in 5 campaigns from September 2011 to May 2014. Displacement as much as approximately 11.7 m in slope direction was detected by GPS observations for the 2011-2014 time period. Most of the slope geometry is in north-south direction, for which the sensitivity of InSAR for displacement detection is low. However, ALOS PALSAR data analysis revealed a previously unknown landslide, covered by dense vegetation in the northern part of main Shabkola landslide, showing line-of-sight velocity of approximately 2cm/year in the time period 2007-2011.

Landslide Deformation Monitoring by Three-Camera Imaging System

“…Many literatures that related to landslide deformation monitoring can be categorize into image-based or sensor-based methods. The most popular way of in-situ sensors are continuous GNSS observation and real-time positioning (Wang, 2013;Bellone et al, 2016;Sanlioglu et al, 2016;Mirzaee et al, 2017), geoelectrics, inclinometer, soil moisture, soil temperature (Lindner et al, 2016), and extensometer (Corominas et al, 2000), etc. The above-mentioned methods are majorly point-based measurement.…”

“…The above-mentioned methods are majorly point-based measurement. While the image-based method may acquire optical imagery (Hosseini et al, 2011), Terrestrial Laser Scanning (Barbarella & Fiani,, 2013), Terrestrial InSAR (Mazzanti et al, 2014), or radar imagery (Sara et al, 2017) are area-based surveying approach. In recent years, the UAV is getting involved in this field to carry digital camera and adopt photogrammetric and image processing techniques (Lindner et al, 2015;Peppa et al, 2016;Lindner et al, 2016;Yaprak & Susam, 2018) for small landslides monitoring.…”

Monitoring of the ground deformation in Penang Island, Malaysia using Permanent Scatterer Interferometry Synthetic Aperture Radar (PS-InSAR) and Ground-Penetrating Radar (GPR) techniques

“…Landslide is the most dominant geohazard that travels many miles without warning, damages infrastructure, and causes loss of lives worldwide (Mirzaee et al, 2017;Rauff et al, 2020a). Human or anthropogenic activities (mining, deforestation, land reclamation, hill cut, etc.…”

Radar Interferometry Time Series to Investigate Deformation of Soft Clay Subgrade Settlement—A Case Study of Lungui Highway, China

“…Differential Interferometric Synthetic Aperture Radar (D-InSAR) has been widely applied to detect and monitor ground surface movements caused by natural geological phenomena, e.g., earthquakes [4,5] landslides [6,7], as well as, man-made activities such as underground mining [8,9], and groundwater extraction [10,11]. With the advantages of large spatial coverage, high imaging resolution and non-intrusive surveying, DInSAR technique has significantly complemented to the traditional geodetic surveying methods.…”