Monitoring of Maskun landslide and determining its quantitative relationship to different climatic conditions using D-InSAR and PSI techniques
Climate change has resulted in severe landslides in Maskun, Iran. This study evaluates and monitors the displacement caused by the landslide mass in Bam using Interferometry Synthetic Aperture Radar (DInSAR) and Persistent Scatterer Interferometry (PSI) techniques, as well as identifies relationship...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2022-12-01
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| Series: | Geomatics, Natural Hazards & Risk |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2022.2065939 |
| _version_ | 1818060403080429568 |
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| author | Mohsen Pourkhosravani Ali Mehrabi Saied Pirasteh Reza Derakhshani |
| author_facet | Mohsen Pourkhosravani Ali Mehrabi Saied Pirasteh Reza Derakhshani |
| author_sort | Mohsen Pourkhosravani |
| collection | DOAJ |
| description | Climate change has resulted in severe landslides in Maskun, Iran. This study evaluates and monitors the displacement caused by the landslide mass in Bam using Interferometry Synthetic Aperture Radar (DInSAR) and Persistent Scatterer Interferometry (PSI) techniques, as well as identifies relationships between climatic conditions and mass displacement. Temperature and precipitation data from 2007 to 2019 were combined with satellite images and the DInSAR method was used to determine the mass displacement differences after selecting eighteen radar images from the ASAR sensor of the ENVISAT satellite. Additionally, Sentinel 1 satellite images were acquired and analyzed using the PSI method from November 5, 2014, to June 24, 2019. The highest displacement level at the surface of the Maskun landslide mass was then extracted. The ASAR images show a monthly displacement rate of 7.3 mm. The smallest displacement, on the other hand, occurred between May and September 2009, at a rate of 3.1 mm/month. PSI results also revealed that the maximum Line Of Sight (LOS) velocities detected by PSI are −64.5 mm/yr (away from the satellite) and 32.45 mm/yr (toward the satellite). Rainfall is one of the main triggers for increasing the deformation of the Maskun landslide according to the time-series analysis. |
| first_indexed | 2024-12-10T13:31:52Z |
| format | Article |
| id | doaj.art-f65cff543bb641c4ae28b8950b16c510 |
| institution | Directory Open Access Journal |
| issn | 1947-5705 1947-5713 |
| language | English |
| last_indexed | 2024-12-10T13:31:52Z |
| publishDate | 2022-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geomatics, Natural Hazards & Risk |
| spelling | doaj.art-f65cff543bb641c4ae28b8950b16c5102022-12-22T01:46:56ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132022-12-011311134115310.1080/19475705.2022.2065939Monitoring of Maskun landslide and determining its quantitative relationship to different climatic conditions using D-InSAR and PSI techniquesMohsen Pourkhosravani0Ali Mehrabi1Saied Pirasteh2Reza Derakhshani3Department of Geography, Shahid Bahonar University of Kerman, Kerman, IranDepartment of Geography, Shahid Bahonar University of Kerman, Kerman, IranDepartment of Geoinformatics and Surveying, Faculty of Geosciences and Environmental Engineering (FGEE), Southwest Jiaotong University, Chengdu, ChinaDepartment of Geology, Shahid Bahonar University of Kerman, Kerman, IranClimate change has resulted in severe landslides in Maskun, Iran. This study evaluates and monitors the displacement caused by the landslide mass in Bam using Interferometry Synthetic Aperture Radar (DInSAR) and Persistent Scatterer Interferometry (PSI) techniques, as well as identifies relationships between climatic conditions and mass displacement. Temperature and precipitation data from 2007 to 2019 were combined with satellite images and the DInSAR method was used to determine the mass displacement differences after selecting eighteen radar images from the ASAR sensor of the ENVISAT satellite. Additionally, Sentinel 1 satellite images were acquired and analyzed using the PSI method from November 5, 2014, to June 24, 2019. The highest displacement level at the surface of the Maskun landslide mass was then extracted. The ASAR images show a monthly displacement rate of 7.3 mm. The smallest displacement, on the other hand, occurred between May and September 2009, at a rate of 3.1 mm/month. PSI results also revealed that the maximum Line Of Sight (LOS) velocities detected by PSI are −64.5 mm/yr (away from the satellite) and 32.45 mm/yr (toward the satellite). Rainfall is one of the main triggers for increasing the deformation of the Maskun landslide according to the time-series analysis.https://www.tandfonline.com/doi/10.1080/19475705.2022.2065939Radar imagesDInSAR methodPSI methodDisplacementMaskun Landslide |
| spellingShingle | Mohsen Pourkhosravani Ali Mehrabi Saied Pirasteh Reza Derakhshani Monitoring of Maskun landslide and determining its quantitative relationship to different climatic conditions using D-InSAR and PSI techniques Geomatics, Natural Hazards & Risk Radar images DInSAR method PSI method Displacement Maskun Landslide |
| title | Monitoring of Maskun landslide and determining its quantitative relationship to different climatic conditions using D-InSAR and PSI techniques |
| title_full | Monitoring of Maskun landslide and determining its quantitative relationship to different climatic conditions using D-InSAR and PSI techniques |
| title_fullStr | Monitoring of Maskun landslide and determining its quantitative relationship to different climatic conditions using D-InSAR and PSI techniques |
| title_full_unstemmed | Monitoring of Maskun landslide and determining its quantitative relationship to different climatic conditions using D-InSAR and PSI techniques |
| title_short | Monitoring of Maskun landslide and determining its quantitative relationship to different climatic conditions using D-InSAR and PSI techniques |
| title_sort | monitoring of maskun landslide and determining its quantitative relationship to different climatic conditions using d insar and psi techniques |
| topic | Radar images DInSAR method PSI method Displacement Maskun Landslide |
| url | https://www.tandfonline.com/doi/10.1080/19475705.2022.2065939 |
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