DIGITALNA ARHIVA ŠUMARSKOG LISTA
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Performance Comparison of The Best Model – Usporedba izvedbe najboljeg modela
During this phase, the performance of the best LSM models (model 7) produced through the LR and RF approaches was compared. According to the test results (Figure 6), the best model in both approaches was model 7, with an LR-AUC score = 0.70 and an RF-AUC score = 0.80. The LR and RF approaches are at good and very good model success levels, respectively.
Detection of Alternative Forest Road Routes – Otkrivanje alternativnih šumskih puteva
The study area was restricted to the area determined by the forest district chief. This was to increase accessibility during the execution of protection activities and to meet the road requirement. This area consists of Black Pine (Pinus nigra Arnold) stands. The results of the LR and RF approaches show that the landslide susceptibility of the study area was higher in the northeast and southwest axis compared with other areas (Figure 7). LSMs produced through each modeling approach were employed, and ArcGIS Cost Path analysis showed that alternative routes could be designed to pass through areas with very low landslide susceptibility.
Most forest road planning studies in Turkey were completed in 1979 (Erdaş 1997). Planning studies have gained pace since the introduction of Geographic Information Systems (GIS) software for civilian use, and its use by institutions is widespread. Furthermore, a clear decision-making tool has emerged for plan and decision makers. GIS software has become a decision-support platform for numerous branches of study, for example, landslide susceptibility mapping. Mapping areas susceptible to landslides by expressing them through reliable modeling approaches is effective. There are factors that affect model success in LSM modeling studies: the size of the study area, the sensitivity of the landslide data employed, the resolution of the DEM data, and the methodology of the preferred modeling approach. In this study, the model success level is good to very good. Although model success varies in the national and international literature, the overall model success ranges from 65% to 98.5% AUC for LSM studies (Kavzoglu et al. 2019). Studies with similar characteristics can be compared with this study: Kavzoglu et al. (2015) used nine factors to determine the AUC value as 98.5%; Zhou et al. (2021) used ten factors to determine the AUC value as