Uporaba fotogrametričnega oblaka točk za izračun količine okroglega lesa na tovornjakih

Andrejčič, Anej (author), Kobal, Milan (mentor)

V juniju 2018 smo izvedli raziskavo o uporabi fotogrametrije za izračun volumna lesa na tovornjakih. Raziskava je bila izvedena na območju GGE Javorje. Po poseku smo sortimente izmerili in jih razdelili v tri debelinske razrede. V raziskavo so bili vključeni le sortimenti s premerom nad 10 cm in dolžino 8,25 m. Vsak debelinski razred smo postopoma nalagali na tovornjak in vmes izvajali snemanja (skupno 30 posnetkov) z brezpilotnim letalnikom. Dobljene posnetke smo nato obdelali s programom Pix4D in programom Microsoft Excel. Za izračun volumna iz 3D modela lesa smo uporabili metodo triangulacije. Med izračunanim volumnom iz 3D modela lesa in izmerjenim volumnom lesa so nastajala odstopanja od -1,07 m3 do 0,55 m3. V debelinskem razredu A je znašal povprečni faktor zlaganja 0,54 ± 0,04, pri debelinskem razredu B in C pa 0,54 ± 0,02. Pri polnem tovornjaku je bil največji faktor zlaganja v debelinskem razredu B (0,59), sledi debelinski razred A (0,58) in debelinski razred C (0,57). Glede na dobljene rezultate menimo, da bi prilagojeno metodo brez težav uporabljali tudi v praksi.

• Language: Slovenian
• Keywords: fotogrametrija, okrogel les, tovornjak, oblak točk, volumen
• Work type: Master's thesis/paper
• Organization: BF - Biotechnical Faculty
• Year: 2019
• PID: 20.500.12556/RUL-106369
• COBISS.SI-ID: 5323174
• Publication date in RUL: 20.02.2019

ANDREJČIČ, Anej, 2019, Uporaba fotogrametričnega oblaka točk za izračun količine okroglega lesa na tovornjakih [online]. Master’s thesis. [Accessed 17 May 2025]. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=106369

Secondary language

• Language: Unknown
• Title: Using a photogrammetric point cloud to calculate the volume of roundwood on trucks

Abstract

We conducted a study on the use of photogrammetry to calculate the wood volume on truck loads in the Javorje Forest Management Area in June 2018. After harvest the logs were measured and divided into three diameter classes. The study involved only logs with a diameter of over 10 cm and a length of 8.25 metres. Each diameter class was gradually stacked onto the truck and periodically recorded (total of 30 recordings) with a drone. The images were processed with Pix4D and Microsoft Excel software. The triangulation method was used to calculate volume from the 3D model of the wood. Deviations between the wood volume calculated from the 3D model and the measured volume ranged between -1.07 m3 and 0.55 m3. The average stacking factor was 0.54 ± 0.04 in diameter class A and 0.54 ± 0.02 in diameter classes B and C. At full truck load the highest stacking factor was in diameter class B (0.59), followed by diameter class A (0.58) and C (0.57). The results show that the adjusted version of the photogrammetry method could easily be used in practice.

• Keywords: photogrammetry, round wood, truck, point cloud, volume