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Smart Structures and Systems Volume 26, Number 3, September 2020 , pages 277-290 DOI: https://doi.org/10.12989/sss.2020.26.3.277 |
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Ground surface changes detection using interferometric synthetic aperture radar |
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Loke Kok Foong, Ali Jamali and Zongjie Lyu
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| Abstract | ||
| Disasters, including earthquakes and landslides, have enormous economic and social losses besides their impact on environmental disruption. Iran, and particularly its Western part, is known as an earthquake susceptible area due to numerous strong ground motions. Studying ecological changes due to climate change can improve the public and expert sector's awareness and response to future disastrous events. Synthetic Aperture Radar (SAR) data and Interferometric Synthetic Aperture Radar (InSAR) technologies are appropriate tools for modeling and surface deformation modeling. This paper proposes an efficient approach to detect ground deformation changes using Sentinel-1A. The focal point of this research is to map the ground surface deformation modeling is presented using InSAR technology over Sarpol-e Zahab on 25th November 2018 as a study case. For surface deformation modeling and detection of the ground movement due to earthquake SARPROZ in MATLAB programming language is used and discussed. Results show that there is a general ground movement due to the Sarpol-e Zahab earthquake between -7 millimeter to +18 millimeter in the study area. This research verified previous researches on the advanced image analysis techniques employed for mapping ground movement, where InSAR provides a reliable tool for assisting engineers and the decision-maker in choosing proper policies in a time of disasters. Based on the result, 574 out of 682 damaged buildings and infrastructures due to the 2017 Sarpol-e Zahab earthquake have moved from -2 to +17 mm due to the 2018 earthquake with a magnitude of 6.3 Richter. Results show that mountainous areas have suffered land subsidence, where urban areas had land uplift. | ||
| Key Words | ||
| sentinel; SAR; InSAR; forest; disaster monitoring; earthquake | ||
| Address | ||
| (1) Loke Kok Foong: Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam; (2) Loke Kok Foong: Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam; (3) Ali Jamali: Faculty of Surveying Engineering, Apadana Institute of Higher Education, Shiraz, Iran; (4) Zongjie Lyu: Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam; (5) Zongjie Lyu: Faculty of Civil Engineering, Duy Tan University, Da Nang 550000, Vietnam. | ||