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Geospatial modeling for enhanced landslide susceptibility mapping in atlas mountains of the northeast of Algeria

Boudjellal Rania, Fehdi Chemseddine, Baali Fethi

Geomatics, Landmanagement and Landscape

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2023

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no. 4

41--57

EN

This study presents a practical geospatial approach, based on geomatic principles, to create landslide susceptibility maps that meet contemporary landscape and land management priorities. By employing a GIS-based statistical modeling, our methodology seamlessly integrates a wide range of factors including topography, lithology, land use, and precipitation. This comprehensive approach allows for a holistic evaluation of landslide susceptibility. We use two widely recognized multi-criteria techniques, namely the Analytic Hierarchy Process (AHP) and the Fuzzy Logic Ratio (FR), which in result produce two distinct yet complementary landslide susceptibility maps (LSMs). The creation of these LSMs relies on a carefully curated dataset of landslides, collected through rigorous analysis of high-resolution satellite imagery, interpretation of aerial photographs, and extensive fieldwork. Eleven key factors are selected to inform the modeling process. To assess the accuracy of the LSMs, we employ ROC curves, with the FR method demonstrating superior predictive performance, achieving an impressive accuracy rate of 75% compared to the AHP model’s 65%. These findings highlight the effectiveness of our approach in identifying high landslide susceptibility areas, providing valuable insights for informed land use planning, hazard mitigation strategies, and rapid emergency response measures. The GIS-based statistical modeling technique showcased in this research provides a robust framework for generating precise landslide susceptibility maps in complex mountainous landscapes. This research makes a significant contribution to the evolving field of geomatics, enhancing landscape resilience and promoting sustainable land management practices.

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Osuwiska w Sudetach

Sikora Rafał, Wojciechowski Tomasz

Przegląd Geologiczny

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2019

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Vol. 67, nr 5

360--368

EN

This paper presents the results of analysis of landslides distribution in the Sudetes (SW Poland). Our study was based on the analysis of the LiDAR-data digital elevation model and integrated with investigations of different factors for landslide development. The results of the study showed relationships between the spatial distribution of landslides and geology of their basement. For the areas built by Permo-Mesozoic and late Variscan sedimentary and volcanogenic rocks, the tectonic and lithological factors are predominant for landslide occurrences. The largest landslides have a tectonic affinity and represent a frontal type of geometry. The relationships between geological conditions and mass movements were also confirmed by the constructed landslide susceptibility map of the Sudetes.

3

Mapa podatności osuwiskowej-studium z rejonu Jodłówki (Pogórze Dynowskie)

Kamiński M.

Przegląd Geologiczny

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2007

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Vol. 55, nr 9

779-784

EN

The Jodłówka region is located in the north-eastern part of the Dynowskie Foothills. The region is characterized by a very high density of landslides and is composed of Cretacoeus-Tertiary sediments of the Skole Nappe. The Inoceramian Beds are the dominant lithologal unit overlain with the Variegated Shales. The present paper focuses on the influence of geological and geomorphological factors upon the landslide occurrence on a local scale. The analysis is based on digital data set including active landslides as well as various types of digital elevation models (DTM), aerial photography and geological maps. These data were combined to compute landslide susceptibility map using index methods.

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Landslide susceptibility assessment: a case study from Beskid Niski Mts., Carpathians, Poland

Mrozek T., Poli S., Steracchini S., Zabuski L.

Polish Geological Institute Special Papers

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2004

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Vol. 15

13-18

EN

This study involves the integration of multiple thematic datasets for landslide susceptibility assessment through spatial prediction models. The proposed methodology has been applied in the Bystrzanka-Biczyska area (Beskid Niski Mts., Carpathians Mts., Poland), characterised by a very high density of landslides. The susceptibility assessment has been based on an indirect bivariate statistical analysis ("Weights of Evidence" modelling technique, Bonham-Carter et al., 1989) performed in order to predict the occurrence of an event (landslide) where well-known evidences (predictor variables) are available. According to the relative importance of each evidence, a landslide susceptibility map has been produced. Observing final prediction results, it is concluded that the susceptibility map gives useful information both on present instability of the area and its possible future evolution in agreement with the morphological evolution of the area.