Czasopismo
Tytuł artykułu
Warianty tytułu
Języki publikacji
Abstrakty
Classic methods of stocktaking big game living in a given area have many disadvantages. The main result is the need to ensure appropriate terrain and weather conditions and also require the involvement of a large number of people, so-called observers. The development of technology makes it possible to create new stocktaking methods that will not have as many of the above-mentioned disadvantages, while reducing the cost of stocktaking and increasing its accuracy. This paper presents an analysis of the possibility of using unmanned aerial vehicles, so-called drones, in combination with the observation of game in the infrared wave range with the use of a thermal imaging camera. The paper presents the concept of such a solution, which will of course be further developed. Raids are planned with the use of thermal cameras over areas according to strictly defined transects and subjecting the obtained images to analysis, also with the use of artificial intelligence methods. This article was written as part of the PBL project carried out by a group of students from the Silesian University of Technology under the supervision of dr inż. Arkadiusz Boczkowski. (original abstract)
Rocznik
Tom
Strony
317--329
Opis fizyczny
Twórcy
autor
- Silesian University of Technology, Poland
autor
- Silesian University of Technology, Poland
autor
- Silesian University of Technology, Poland
autor
- Silesian University of Technology, Poland
autor
- Silesian University of Technology, Poland
autor
- Silesian University of Technology, Poland
autor
- Silesian University of Technology, Poland
autor
- Silesian University of Technology, Poland
Bibliografia
- Kossak, S. (2001). Zintegrowana metoda szacowania stanów liczebnych struktury populacji ssaków łownych i chronionych w Puszczy Białowieskiej. Instytut Badawczy Leśnictwa. Białowieża.
- Okarma, H. and Tomek, A. (2008). Łowiectwo. Wydawnictwo Edukacyjno-Naukowe H2O. Kraków.
- Witczuk, J. and Pagacz, S. (2021). Evaluating alternative flights plants in thermal drone wildlife surveys - simulation study. Museum and Institute of Zoology Polish Academy of Sciences. International Journal of Remote Sensing 13.
- Witczuk, J., Pagacz, S., Zmarz, A. and Cypel, M. (2018). Exploring the feasibility of unmanned aerial vehicles and thermal imaging for ungulate surveys in forest - preliminary results. International Journal of Remote Sensing 39.
- Zalewski, D., Okarma, H. and Panek, M. (2018). Monitoring liczebności i jakości populacji dzikich zwierząt. Uniwersytet Warmińsko-Mazurski w Olsztynie. Olsztyn.
- Gonzalez, L., Montes, G., Puig, E., Johnson, E., Mengersen, K. and Gatson, K. (2016). Unmanned aerial vehicles and artificial intelligence revolutionizing wildlife monitoring and conservation. Sensors, 16, 97.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171634282