Acta Scientiarum Polonorum
serie Formatio Circumiectus – Environmental Processes
RESEARCH PAPER
A Hybrid Approach of Frequency Ratio Model and Geospatial Technology for Landslide Susceptibility Mapping: A case study
1
Geo-Informatics, Department of Civil Engineering, Graphic Era (Deemed to be University) Dehradun, Uttarakhand, India
Submission date: 2026-02-03
Final revision date: 2026-04-21
Acceptance date: 2026-04-24
Publication date: 2026-07-23
Corresponding author
Kishan Singh Rawat
Geo-Informatics, Department of Civil Engineering, Graphic Era (Deemed to be University) (Accredited with Grade 'A+' by NAAC) Dehradun - 248002, Uttarakhand, India
Geo-Informatics, Department of Civil Engineering, Graphic Era (Deemed to be University) (Accredited with Grade 'A+' by NAAC) Dehradun - 248002, Uttarakhand, India
Acta Sci. Pol. Formatio Circumiectus 2026;25(2):95-111
HIGHLIGHTS
- 1. GIS-based FR modeling for landslide susceptibility
- 2. A comprehensive landslide inventory develop
- 3. Landslide susceptibility zoned into five classes
- 4. Model performance validated using AUC
- 5. Generated susceptibility maps support disaster risk reduction in Himalayan region
KEYWORDS
TOPICS
ABSTRACT
Aim of the study:
To generate a landslide susceptibility map using Hybrid Approach of FR Model and Geospatial Technology for the studied area.
Material and methods:
Application of FR Model and GIS
Results and conclusions:
According to the FR method, 11.5% areas are very highly susceptible to landslides, 23.2% represents highly susceptible area, and 26.2% represents moderately susceptible areas. Low susceptibility areas constitute 26.5%, and very low susceptibility areas, 12.6%. Susceptibility classes in the final map were derived from FR method, grouped into five risk levels and examined with the value of area under curve (AUC). When it came to zoning the study regions in relation to past landslides, the FR model produced an AUC of 73.4%. Therefore, using the assessment of the landslide susceptibility map, it has been demonstrated that the approaches employed produced findings that were satisfactory in their reliability.
To generate a landslide susceptibility map using Hybrid Approach of FR Model and Geospatial Technology for the studied area.
Material and methods:
Application of FR Model and GIS
Results and conclusions:
According to the FR method, 11.5% areas are very highly susceptible to landslides, 23.2% represents highly susceptible area, and 26.2% represents moderately susceptible areas. Low susceptibility areas constitute 26.5%, and very low susceptibility areas, 12.6%. Susceptibility classes in the final map were derived from FR method, grouped into five risk levels and examined with the value of area under curve (AUC). When it came to zoning the study regions in relation to past landslides, the FR model produced an AUC of 73.4%. Therefore, using the assessment of the landslide susceptibility map, it has been demonstrated that the approaches employed produced findings that were satisfactory in their reliability.
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| ISSN: | 1644-0765 |
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