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SAR interferometry for landslide investigation and surface deformation monitoring: a case study of Souk Ahras area, north-east of Algeria

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Landslides – natural disasters be caused by various factors - are frequent in the region surrounding Souk Ahras. Comprehensive fieldwork, such as geotechnical drilling investigations and soil excavations, is conducted to monitor ground movements and assess the feasibility of geological locations. Synthetic Aperture Radar (SAR) and other active satellite remote sensors are utilized in Earth Observation-based systems to identify and track ground deformation and landslides in the study area. This research aims to illustrate how open-source processing software, SNAP, provided by the European Space Agency, can be combined with freely available datasets from Copernicus to accomplish this goal. In the North Eastern part of Algeria, which includes Souk Ahras, there is a high risk of landslides Through the use of InSAR technology, the research provided satisfactory results in identifying the morphology of landslides and generating a largescale interferometric map covering several regions in the East of Algeria, revealing the extent of distortion and spacing caused by the landslide phenomenon.
Rocznik
Tom
Strony
37--55
Opis fizyczny
Bibliogr. 21 poz., rys., tab.
Twórcy
  • Department of Earth Sciences, Tebessa University, Algeria
  • Prof. Chemseddine Fehdi Department of Earth Sciences, Tebessa University, Algeria
  • Department of Earth Sciences, Tebessa University, Algeria
Bibliografia
  • Akbarimehr M., Motagh M., Haghshenas M. 2013. Slope Stability Assessment of the Sarcheshmeh Landslide, Northeast Iran, Investigated Using InSAR and GPS Observations. Remote Sens., 5, 3681–3700.
  • Bovenga F., Wasowski J., Nitti D.O., Nutricato R., Chiaradia M.T. 2012. Using COSMO/ SkyMed X-band and ENVISAT C-band SAR interferometry for landslides analysis. Remote Sens. Environ., 119, 272–285.
  • Cigna F., Bianchini S., Casagli N. 2013. How to assess landslide activity and intensity with Persistent Scatterer Interferometry (PSI): The PSI-based matrix approach. Landslides, 10, 267–283.
  • Chouabi A. 1987. Etude géologique de la region de Hammam N’Bails SE de guelma, Algerie. PhD thesis, paulsabatier, Toulouse University, France.
  • Cruden D.M., Varnes D.J. 1996. Landslides: Investigation and Mitigation. Chapter 3. Landslide Types and Processes. Transportation Research Board Special Report. The National Academies of Sciences, Engineering, and Medicine. Washington, DC, USA, 247.
  • Frangioni S., Bianchini S., Moretti S. 2014. Geomatics, Natural Hazards and Risk. Landslide inventory updating by means of Persistent Scatterer Interferometry (PSI): The Setta basin (Italy) case study. Geomat. Nat. Hazards Risk.
  • Guzzetti F., Cardinali M., Reichenbach P., Carrara A. 2000. Comparing Landslide Maps: A Case Study in the Upper Tiber River Basin, Central Italy. Environ. Manag., 25, 247–263.
  • Haghshenas Haghighi M., Motagh M. 2016. Assessment of ground surface displacement in Taihape landslide, New Zealand, with C- and X-band SAR interferometry. New Zeal. J. Geol. Geophys., 59, 136–146.
  • Hanssen R.F. 2001. Radar Interferometry – Data Interpretation and Error Analysis. Journal of Physics A: Mathematical and Theoretical.
  • Kabouya M. 1990. Modélisation pluie-débit aux pas de temps mensuel et annuel en Algérie septentrionale. PhD thesis. Paris Sud Orsay University.
  • Masrouhi A., Ghanmi M., Ben Slama M.M., Ben Youssef M., Vila J.M., Zargouni F. 2008. New tectono-sedimentary evidence constraining the timing of the positive tectonic inversion and the Eocene Atlasic phase in northern Tunisia: Implication for the North African paleo-margin evolution. C.R. Geosci., 340, 771–778.
  • Mebarki A. 2003. Cartographie automatique des précipitations: application à l’Est algérien. Sci. Technol. B, 20, 100–107.
  • Mebarki A. 2005. Hydrologie des bassins de l’est algérien: ressources en eau, aménagement et environnement. PhD thesis. Mentouri University, Constantine, Algeria.
  • Raucoules D., de Michele M., Aunay B. 2020. Landslide displacement mapping based on ALOS2/PALSAR-2 data using image correlation techniques and SAR interferometry: Application to the Hell-Bourg landslide (Salazie circle, La Réunion Island). Geocarto Int., 35, 113–127.
  • Riheb H., Khaled R., Larbi G., Abdelmadjid Ch., Younes H. 2017. Slope Failure Characteristics and Slope Movement Susceptibility Assessment Using GIS in a Medium Scale: A Case Study from Ouled Driss and Machroha Municipalities, Northeast Algeria. Arabian Journal for Science and Engineering, 42 (1) 281.
  • Rosenbaum G., Lister G.S., Duboz C. 2002. Reconstruction of the tectonic evolution of the western Mediterranean since the Oligocene. J. Virtual Explor., 8, 107–130.
  • Sentinel Data Access Overview. Sentinel Online. https://sentinel.esa.int/web/sentinel/sentineldata-access [accessed: 26 June 2019].
  • SNAP. https://step.esa.int/main/toolboxes/snap/ [accessed: 17 July 2019.
  • VanWesten C.J., Van Asch T.W., Soeters R. 2006. Landslide hazard and risk zonation. Why is it still so difficult? Bull. Eng. Geol. Environ., 65, 167–184.
  • Vila JM. 1980. La chaîne alpine d’Algérie nord-oriental et des confins algéro-tunisiens. PhD thesis, P. et M. Curie, Pris VI University.
  • Wasowski J., Bovenga F. 2014. Investigating landslides and unstable slopes with satellite Multi Temporal Interferometry: Current issues and future perspectives. Eng. Geol.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b8c765a2-a1c2-4914-b807-0c040061f584
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