Uporaba lidarskih podatkov pri izdelavi sečno-spravilnega načrta

Perko, Stefano (author), Krč, Janez (mentor), Kobal, Milan (comentor)

Na območju Ljubljanskega vrha v GGE Vrhnika in GGE Bistra-Borovnica smo izdelali sečno-spravilni načrt (SSN), ki smo ga naknadno izboljšali s pomočjo uporabe lidarskih podatkov. Izračunali smo dnevne norme in stroške proizvodnje, potreben čas po posameznih delovnih poljih in predvidene prihodke od prodaje lesa. Nato smo uporabili programski paket ArcMap in pridobili podolžne profile vlak, za katere smo izračunali protivzpone,. Za podolžne profile žičnih žerjavov, smo ugotavljali možnost vmesnih podpor in dejanske dolžine linije, s pomočjo lidarskih podatkov pa pridobili še hrapavost terena, kar izboljšuje postopek določanja kategorije zbiranja lesa. Zaključili smo, da je uporabo Lidarja potrebno še nadalje razvijati v kombinaciji s pripravo dela v gozdni proizvodnji, ker lahko s tem zmanjšamo potrebo po terenskem delu, prihranimo čas in zmanjšamo stroške za pripravo dela v gozdni proizvodnji.

• Language: Slovenian
• Keywords: Lidar, organizacija dela, hrapavost, protivzponi, profil
• Work type: Bachelor thesis/paper
• Organization: BF - Biotechnical Faculty
• Year: 2018
• PID: 20.500.12556/RUL-99949
• COBISS.SI-ID: 5003686
• Publication date in RUL: 24.02.2018

PERKO, Stefano, 2018, Uporaba lidarskih podatkov pri izdelavi sečno-spravilnega načrta [online]. Bachelor’s thesis. [Accessed 15 May 2025]. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=99949

Secondary language

• Language: English
• Title: Use of LIDAR in the timber cutting and skidding project

Abstract

In the area of Ljubljanski vrh in the Ljubljana forest management region we made a timber felling and skidding project, which was improved with the use of Lidar data. We calculated the productivity and the production costs, estimated the necessary time for each working field and estimated the incomes from the wood selling. After this, we used the program package ArcMap to get the terrain profiles of the skid trails, which were used to calculate the slopes on the skid trail, the terrain profiles of the cable cranes, which were used to predict the possibility of a middle support tree and real length of the crane, and finally we used ArcMap program package to calculate the mean terrain roughness. The mean roughness can help the forester assigning the bunching category. At the end we concluded that the use of Lidar in combination with the planning of forest harvest operation has to be developed, because it can minimize the field work, costs and time for the forest harvest operation planning.

• Keywords: Lidar, organisation, roughness, slopes, profile