Results

All of the most important results of the applied science research will be published in written guidelines for the end users of landslide susceptibility maps, in which a proposal plan for maps implementation in land use planning and management of the Republic of Croatia will we suggested, as well as map examples and map creating methodology. Published written guidelines can be found here.

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The project includes a career development of a Junior Researcher – doctoral student with the purpose of acquiring the knowledge of scientific work and research related to spatial analysis of geohazards and engineering geology map of constraints. Progress of the Junior Researcher can be followed here.

1st project research workshop

On the 1st project research workshop with an invited lecturer, knowledge improving of the researchers will be done. Knowledge regarding landslide susceptibility analysis and three main approaches: bivariate, multivariate and machine learning methods; knowledge transfer and invited lecture. More information about this event can be found here.

2nd project research workshop

On the 2nd project research workshop with an invited lecturer, criteria of landslide susceptibility zoning for land use planning will be defined. The defined criteria are based on discussion with scientists from Slovenia and Italy, and with end user from national, regional and local authorities in Croatia. More information about this event can be found here.

3rd project research workshop

Organisation of project round table with national, regional and local governmental authorities, decision and policymakers to evaluate results of requirement analysis of spatial planning regarding to landslide susceptibility assessment. More information about this event can be found here.

At the end of the project, a final conference held with project results presentation to scientific community, national, regional and local governmental authorities, decision and policymakers. Invited lecture with focus on reliability of project results in Croatia. Europe and globally. For participants of the conference and the general public, more information about this event can be found here.

Glas Istre about the start of the project
Varaždinski.hr about the start of the project
Totalno.hr about the start of the project

Discussing the project activities on the “Prometej” TV show

Sinčić, M., Bernat Gazibara, S., Rossi, M., and Mihalić Arbanas, S. (2025): Comparison of conditioning factor classification criteria in large-scale statistically based landslide susceptibility models. Nat. Hazards Earth Syst. Sci., 25, 183–206, doi:10.5194/nhess-25-183-2025

Sinčić, M., Bernat Gazibara, S., Rossi, M., Krkač, M., Mihalić Arbanas, S. (2024): A Comprehensive Comparison of Stable and Unstable Area Sampling Strategies in Large-Scale Landslide Susceptibility Models Using Machine Learning Methods. Remote Sensing, 16(16), 2923. doi:10.3390/rs16162923

Bernat Gazibara, S., Sinčić, M., Krkač, M., Lukačić, H., Mihalić Arbanas, S. (2023): Landslide susceptibility assessment of a large scale in the Podsljeme area, City of Zagreb (Croatia). Journal of Maps, 19(1). doi:10.1080/17445647.2022.2163197

Sinčić, M., Bernat Gazibara, S., Krkač, M., Lukačić, H., Mihalić Arbanas, S. (2022): The Use of High-Resolution Remote Sensing Data in Preparation of Input Data for Large-Scale Landslide Hazard Assessments. Land, 11(8), 1360. doi:10.3390/land11081360

Sinčić, M., Bernat Gazibara, S., Krkač, M., Mihalić Arbanas, S. (2022): Landslide susceptibility assessment of the City of Karlovac using the bivariate statistics. The Mining-Geology-Petroleum Engineering Bulletin, 37(2), 149-170. doi:10.17794/rgn.2022.2.13

Jagodnik, P., Bernat Gazibara, S., Arbanas, Ž., Mihalić Arbanas, S. (2020): Engineering geological mapping using airborne LiDAR datasets – an example from the Vinodol Valley, Croatia. Journal of Maps, 16(2), 856-867. doi:10.1080/17445647.2020.1831980

Optimal LiDAR DEMs will be chosen based on the quality of topographic morphology of the landslides in three representatives pilot areas in Croatia. Quantitative definition of quality will be based upon statistical analyses.

Prepared input data for include all factor maps used for three data-driven approaches on susceptibility analysis, based on six different mapping units and approximately 14 morphological, geological and hydrological factors and land cover conditions for three pilot areas. More on input data can be read in the journal paper Sinčić et al. (2022).

Preparation of more than 200 landslide susceptibility maps per pilot area will be done for further verification of susceptibility modelling. With these analyses the aim is to determine the reliability of all applied methods, so scientifically the most reliable landslide susceptibility map for each of the three representative pilot areas in Croatia can be determined.

Landslide susceptibility maps created according to the needs of certain end user will be derived by classification of reliable landslide susceptibility maps for land use planning in Croatia.