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Znanstveno-stručno i staleško glasilo
Hrvatskoga šumarskoga društva
Journal of Forestry Society of Croatia
      Prvi puta izašao 1877. godine i neprekidno izlazi do današnjeg dana
   ISSN No.: 0373-1332              UDC 630* https://doi.org/10.31298/sl
upute autorima
WEB EDITION
ARHIVA ČASOPISA


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RIJEČ UREDNIŠTVA
     
Uredništvo
What does the Glasgow Conference bring us?     pdf     HR     EN 513
 
IZVORNI ZNANSTVENI ČLANCI
     
David Mijoč, Nikola Perković, Mario Šporčić, Matija Landekić, Matija Bakarić, Andreja Đuka, Tomislav Poršinsky UDK 630*360 +761
https://doi.org/10.31298/sl.145.11-12.1
Evaluation of the method of calculating the planned price of timber harvesting operations     pdf     HR     EN 515
T. Gomerčić, I. Topličanec, V. Slijepčević, S. Blašković, I. Selanec, I. Budinski, J. Tomaić, J. Kusak, Gj. Ivanov, M. Sindičić UDK 630* 152 + 146 (001)
https://doi.org/10.31298/sl.145.11-12.2
Distribution and minimum population size of Eurasian lynx (Lynx lynx) in Croatia in the period 2018–2020     pdf     HR     EN 525
Lovre Panđa, Ante Šiljeg, Ivan Marić, Fran Domazetović, Silvija Šiljeg, Rina Milošević UDK 630*174.7
https://doi.org/10.31298/sl.145.11-12.3
Comparison of GEOBIA classification algorithms based on Worldview-3 imagery in the extraction of coastal coniferous forest     pdf     HR     EN 535
Summary
With their ecological, economic, aesthetic, and social function, coniferous forests represent an important part of European forest communities. The main objective of this paper is to compare the most used GEOBIA (Geographic Object-Based Image Analysis) classification algorithms (Random Trees - RT, Maximum Likelihood - ML, Support Vector Machine - SVM) for the purposes of the coastal coniferous forest detection on a high-resolution WorldView-3 (WV-3) imagery on the topographic basin of the Split settlement (Figure 1). The methodological framework (Figure 2) includes: (1)
derivation of a sharpened multispectral image (WV-3MS) (Figure 3); (2) testing of the user-defined parameters in segmentation process (Figure 4); (3) marking of test samples (signatures); (4) classification of a segmented model; (5) accuracy assessment of the classification algorithms, and (6) accuracy assessment of the final model. The developed ACP tool (Automated Classification Process) (Supplement figure 5) for speeding up the entire classification process, enabled the simultaneous generation of output results for three selected classification algorithms (RT, ML and SVM) (Figure 6). Metric indicators (correctness - COR, completeness - COM, and overall quality - OQ) have shown that RT is the most accurate classification algorithm for the coastal coniferous forest detection (Table 1; Figure 7). The iterative setting of segmentation parameters enabled the detection of the most optimal values &8203;&8203;for generating a segmentation model. It is found that shadows can cause significant problems if classification is done on high-resolution images (Figure 8). The solution may be to collect a larger number of samples in different areas for the purpose of more detailed class differentiation. The modified Cohen’s kappa coefficient (K) indicator shown the accuracy of the final model of 87.38% (Table 2; Figure 9). WV-3MS can be considered as very good data for the detection of coniferous forests using the GEOBIA method (Figure 10). According to this research, 31.36% of the Split topographic basin is covered by highly and extremely flammable vegetation.

Key words: GEOBIA; WorldView-3; Coniferous Forest; Random Trees; Maximum Likelihood; Support Vector Machine.
Marina Milović, Verica Vasić, Milan Drekić, Branislav Kovačević, Saša Pekeč, Zoran Galić, Saša Orlović UDK 630* 181.3 + 164 (001)
https://doi.org/10.31298/sl.145.11-12.4
Diversity of ectomycorrhizal fungi associated with Quercus petraea in the national park Fruška gora in the Republic of Serbia     pdf     HR     EN 547
Zafer Yücesan, Derya Bayram UDK 630* 232.3 (001)
https://doi.org/10.31298/sl.145.11-12.5
Effects of pretreatment, sowing time, sowing environment and climate factors on germination in Acer pseudoplatanus L.     pdf     HR     EN 557
 
PRETHODNO PRIOPĆENJE
     
Ivan Balenović, Luka Jurjević, Krunoslav Indir, Ante Seletković UDK 630* 587 + 622
https://doi.org/10.31298/sl.145.11-12.6
Photogrammetric estimates of stand volume in pedunculate oak stands of the Pokupsko basin     pdf     HR     EN 567
Branislav Drašković, Marko Gutalj, Stefan Stjepanović, Boban Miletić UDK 630* 233
https://doi.org/10.31298/sl.145.11-12.7
Estimating recent forest losses in Bosnia and Herzegovina by using the Copernicus and Corine land cover databases     pdf     HR     EN 581

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