Articles | Volume 25, issue 11
https://doi.org/10.5194/nhess-25-4629-2025
https://doi.org/10.5194/nhess-25-4629-2025
Research article
 | 
24 Nov 2025
Research article |  | 24 Nov 2025

Decoupling urban and non-urban landslides for susceptibility mapping in transitional landscapes: a case study from Southwestern Constantine, Algeria

Zakaria Matougui, Yacine Mohamed Daksi, Mehdi Dib, and Chaouki Benabbas

Cited articles

Abdı, A., Bouamrane, A., Karech, T., Dahri, N., and Kaouachi, A.: Landslide Susceptibility Mapping Using GIS-based Fuzzy Logic and the Analytical Hierarchical Processes Approach: A Case Study in Constantine (North-East Algeria), Geotechnical and Geological Engineering, 39, 5675–5691, https://doi.org/10.1007/s10706-021-01855-3, 2021. 
Achour, Y., Boumezbeur, A., Hadji, R., Chouabbi, A., Cavaleiro, V., and Bendaoud, E. A.: Landslide susceptibility mapping using analytic hierarchy process and information value methods along a highway road section in Constantine, Algeria, Arabian Journal of Geosciences, 10, https://doi.org/10.1007/s12517-017-2980-6, 2017. 
Alharbi, T., Sultan, M., Sefry, S., ElKadiri, R., Ahmed, M., Chase, R., Milewski, A., Abu Abdullah, M., Emil, M., and Chounaird, K.: An assessment of landslide susceptibility in the Faifa area, Saudi Arabia, using remote sensing and GIS techniques, Nat. Hazards Earth Syst. Sci., 14, 1553–1564, https://doi.org/10.5194/nhess-14-1553-2014, 2014. 
ASF DAAC: ALOS PALSAR High Resolution Radiometric Terrain Corrected Product, NASA Alaska Satellite Facility Distributed Active Archive Center [data set], https://doi.org/10.5067/Z97HFCNKR6VA, 2014. 
Bathrellos, G. D., Kalivas, D. P., and Skilodimou, H. D.: GIS-based landslide susceptibility mapping models applied to natural and urban planning in Trikala, central Greece, Estudios Geologicos, 65, 49–65, https://doi.org/10.3989/egeol.08642.036, 2009. 
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Short summary
In a context of urban expansion and a reduction in the available land for construction, preventive studies against landslides are required. Using field surveys, remote sensing and context-specific models, we studied the risk of landslides in an example of a transitional region. Our models reveal the likelihood of slope failure under varying natural and human pressures, guiding better land management to promote sustainable growth. These insights support safer development in fragile landscapes.
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