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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


HRČAK
select * from clancislEN where brojid=201811 and arb=1 order by id

 
RIJEČ UREDNIŠTVA
     
Uredništvo
What percent of the population is aware of the forestry profession?     pdf     HR     EN 565
 
IZVORNI ZNANSTVENI ČLANCI
     
Mateo Gašparović, Anita Simic Milas, Ante Seletković, Ivan Balenović UDK 630* 587 (001)
https://doi.org/10.31298/sl.142.11-12.1
A novel automated method for the improvement of photogrammetric DTM accuracy in forests     pdf     HR     EN 567
Mirzeta Memišević Hodžić, Dalibor Ballian UDK 630* 451 + 153 (001)
https://doi.org/10.31298/sl.142.11-12.2
Phenological variability of pedunculate oak (Quercus robur L.) in Bosnian-Herzegovinian provenance trial     pdf     HR     EN 579
Sezgin Ayan, Nezahat Turfan, Esra Nurten Yer, Muhidin Šeho, Halil Barş Özel, Fulvio Ducci UDK 630* 453 (001)
https://doi.org/10.31298/sl.142.11-12.3
Antioxidant variability of the seeds in core and marginal populations of taurus cedar (Cedrus libani A. Rich.)     pdf     HR     EN 593
Cumhur Güngöroglu, Ç. Okan Güney, Abdullah Sari, Ayhan Serttaş UDK 630* 537 + 238 (001)
https://doi.org/10.31298/sl.142.11-12.4
Predicting crown fuel biomass of Turkish red pine (Pinus brutia Ten.) for the Mediterranean regions of Turkey     pdf     HR     EN 601
Fahrettin Atar, Ibrahim Turna UDK 630* 923 + 619 (001)
https://doi.org/10.31298/sl.142.11-12.5
Fruit and seedling diversity among sweet chestnut (Castanea sativa Mill.) populations in Turkey     pdf     HR     EN 611
 
PRETHODNO PRIOPĆENJE
     
Kristijan Tomljanović, Helena Nosek, Renata Pernar, Marijan Grubešić UDK 630* 156 + 153
https://doi.org/10.31298/sl.142.11-12.6
Possibilities of applying lightweight unmanned aerial vehicles to big game counting     pdf     HR     EN 621
SUMMARY
Different techniques and technologies are being used in wild animal research. Goals of such research and monitoring are various, most common are numbers per area and size of population for a researched species (Myslenkov i Miquelle, 2015). Development of new techniques and technologies that are used everyday in practial wild animal monitoring has made many tasks much easier and more precise, usage of technology often decreases the number of people needed to be involved in research and has made some until now unfeasable methods a reality. In conducted research we wanted to explore to what amount is it possible to apply a drone system equiped with thermal camera in assessing some population parameters for big game. Research was conducted in lowland teritorry of continental part of Republic of Croatia within hunting ground Opeka II. Wild boar has been chosen for the research as the most common species of big game in Republic of Croatia. Within two localities (I age grade of Oak forest) testing of two counting methods was conducted. First method was to try and count all
neck within researched department. Given results show relatively high numbers of wild boar in average of 1,26 with sd=+/- 0,18 necks/ha within researched plane. Second utilized method was to count wild boar on in advance determined strips, whose share in total observed surface amounts to 10%. In this method infomation are of bigger variability and somewhat smaller number off wild boar within observed plane has been determined in amount of 0,61 neck/ha with very high sd=+/- 0,53. Researched confirmed the posibility of applying drone systems with thermal cameras. From two applied methods, first (absolute counting of all animals) is more suitable for smaller surfaces, while the method of appropriate strips is more suitable for larger surfaces with conscious risk of generating greater counting error.

Key words: lightweight unmanned aerial vehicles; drone; hunting management; remote sensing; wild boar (Sus scrofa); big game counting

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