Investigation of landslides with natural lineaments derived from integrated manual and automatic techniques applied on geospatial data
Simon Sadiq,
Umar Muhammad () and
Michael Fuchs
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Simon Sadiq: COMSATS University Islamabad (CUI)
Umar Muhammad: COMSATS University Islamabad (CUI)
Michael Fuchs: Federal Institute for Geosciences and Natural Resources (BGR)
Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2022, vol. 110, issue 3, No 33, 2162 pages
Abstract:
Abstract Lineament extraction has long been performed through extensive field mapping. Recent advances in the field of remote sensing have made possible the availability of imageries from earth observation satellites with different Spatio-temporal resolutions, paving way for new automatic, semi-automatic, and manual techniques for the extraction of natural lineaments. The study focuses on the extraction of lineaments representing tectonic fault zones; the lineaments are extracted automatically and semi-automatically/manually. Results show that indirect information about the tectonic lineaments can be derived through automatic techniques whereas, the semi-automatic techniques are more effective to directly identify them. Detailed analyses of lineaments and landslides revealed that areas near lineaments, in general, experienced higher frequency of landslides. Moreover, it is also observed that lineaments are not the only factor that affects landslide density; other parameters like slope and lithology were also found to be the controlling factors in determining the spatial landslide distribution. Lastly, some recommendations have been made based on observations.
Keywords: Lineaments; Remote sensing; Landslides; Automatic extraction; Semi-automatic extraction (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:110:y:2022:i:3:d:10.1007_s11069-021-05028-6
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DOI: 10.1007/s11069-021-05028-6
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