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Primerjava mobilnih aplikacij MOTI in TRESTIMA za oceno sestojnih parametrov.
Indihar, Metod (Author), Ficko, Andrej (Mentor) More about this mentor... This link opens in a new window

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Abstract
Primerjali smo dve metodi za oceno sestojne temeljnice in števila dreves na hektar; mobilno aplikacijo MOTI za Bitterlichovo hitro izmero temeljnice in mobilno aplikacijo TRESTIMA®, ki na podlagi fotografij, analiziranih z računalniškim vidom in privzetih dendrometrijskih povezav, ocenjuje temeljnico, debelinsko strukturo in lesno zalogo sestoja. Meritve smo izvajali na 61 stojiščih v štirih pretežno smrekovih debeljakih v GGE Velike Lašče. TRESTIMA® v primerjavi z metodo MOTI rahlo precenjuje sestojno temeljnico ter število dreves. Pri drevesni sestavi ne ločuje med smreko in jelko, v izbranih nastavitvah profila, ki so bile nam najbližje, je TRESTIMA® prepoznala še rdeči bor. Aplikacija MOTI se je izkazala za uporabnejšo od aplikacije TRESTIMA®. Slednja je za slovenske razmere še nezanesljiva zaradi neprepoznavanja vseh pomembnejših drevesnih vrst in majhne učne množice za izračun višinskih krivulj.

Language:Slovenian
Keywords:Gozdna inventura, mobilna aplikacija, Bitterlichova metoda, računalniški vid, fotogrametrična izmera, MOTI, TRESTIMA
Work type:Bachelor thesis/paper (mb11)
Tipology:2.11 - Undergraduate Thesis
Organization:BF - Biotechnical Faculty
Year:2020
Publisher:[M. Indihar]
UDC:630*52+630*58(043.2)=163.6
COBISS.SI-ID:17311235 This link opens in a new window
Views:454
Downloads:141
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Secondary language

Language:English
Title:Comparison of MOTI and TRESTIMA mobile applications for stand parameter estimation.
Abstract:
We compared two smartphone applications for estimating stand basal area and number of stems per hectare, the application MOTI and the application TRESTIMA®. TRESTIMA® analyzes photographs, taken in the forest, using computer vision and dendrometric functions to estimate basal area, diameter distribution and growing stock. We measured basal area and number of stems on 61 plots in 4 stands, with mostly large diameter Norway spruce in forest management unit Velike Lašče. TRESTIMA® slightly overestimates basal area and number of stems per ha. In the chosen profile which was most suitable for our stands, TRESTIMA® recognized spruce and Scots pine, but did not distinguish between spruce and silver fir. MOTI proved to be more useful than TRESTIMA® for measuring stand basal area and number of stems. TRESTIMA® was problematic particularly for not recognizing all major tree species and due to too small learning set for calculating the height curves.

Keywords:Forest inventory, mobile application, Bitterlich method, computer vision, photogrammetric measure, MOTI, TRESTIMA

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