Kinematic Analysis of Small and Slow-Moving Landslides Using Pleiades-1 Satellite Data

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dc.authoridMd Reba, Mohd Nadzri/0000-0002-3896-6797
dc.authoridShahabi, Himan/0000-0001-5091-6947
dc.contributor.authorEyo, Etim
dc.contributor.authorHashim, Mazlan
dc.contributor.authorReba, Mohd Nadzri Md
dc.contributor.authorBayrak, Temel
dc.contributor.authorShahabi, Himan
dc.date.accessioned2025-03-23T19:32:05Z
dc.date.available2025-03-23T19:32:05Z
dc.date.issued2023
dc.departmentSinop Üniversitesi
dc.description.abstractAlthough they may have small velocity values, small slope failures can cause damage to facilities such as roads and pipelines. The main goals of this paper are to detect and map, and quantify the kinematics of small and slow-moving landslides in Kutlugun, Northeastern Turkey. Object-based image analysis (OBIA) and rule-based classification techniques were utilized to detect and map the small and slow-moving landslides. The horizontal displacement of the landslides was investigated using the sub-pixel image correlation method, Cosi-Corr software, and Pleiades-1 images. Kalman filtering method and Real-Time Kinematics-Global Positioning System (RTK-GPS) observations were utilized to formulate a kinematic analysis model for the landslides. A total of 123 small landslides covering an area of approximately 413.332 m(2) were detected in the study area. The displacements determined by image correlation compare very well with the RTK-GPS measurements, with a maximum deviation of 0.86 mm. The movement rate of the small landslide from RTK-GPS results ranged from 0.80- 8.28 mm during the six-month monitoring period. The average displacement value for all the monitoring points is 9.88 mm, while the average movement rate is 3.11 mm during the monitoring period. Compared to the deformation obtained using only the RTK-GPS measurements, the optical image correlation produced a more coherent deformation pattern and more detailed information on the extent and distribution of deformation. The results of the kinematic analysis suggest that the entire body of the small landslide moved slowly during the monitoring period.
dc.description.sponsorshipUniversiti Teknologi Malaysia, Research Institute for Sustainable Environment (RISE) [Q.J091100.23C9.00D99]
dc.description.sponsorshipThis work was supported in part by Universiti Teknologi Malaysia, Research Institute for Sustainable Environment (RISE) Strengthening, under Grant Q.J091100.23C9.00D99.
dc.identifier.doi10.1109/ACCESS.2023.3276359
dc.identifier.endpage47993
dc.identifier.issn2169-3536
dc.identifier.scopus2-s2.0-85160246189
dc.identifier.scopusqualityQ1
dc.identifier.startpage47979
dc.identifier.urihttps://doi.org/10.1109/ACCESS.2023.3276359
dc.identifier.urihttps://hdl.handle.net/11486/5411
dc.identifier.volume11
dc.identifier.wosWOS:001005626400001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIeee-Inst Electrical Electronics Engineers Inc
dc.relation.ispartofIeee Access
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250323
dc.subjectLandslides
dc.subjectKinematics
dc.subjectGlobal Positioning System
dc.subjectCorrelation
dc.subjectDeformation
dc.subjectMonitoring
dc.subjectOptical variables measurement
dc.subjectReal-time systems
dc.subjectImage correlation
dc.subjectkinematic
dc.subjectPleiades-1 images
dc.subjectreal time kinematics-global positioning system
dc.subjectsmall and slow-moving landslides
dc.titleKinematic Analysis of Small and Slow-Moving Landslides Using Pleiades-1 Satellite Data
dc.typeArticle

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