Tree-stem Volume Calculation from SfM-MVS to Improve Estimates in the Timber Industry in Indonesia
Christopher Gomez1, Aditya Saputra2, Hiroki Matsui3
1Christopher Gomez, Kobe University, Graduate School of Maritime Science, Japan.
2Aditya Saputra, Faculty of Geography, Universitas Muhammadiyah Surakarta, Indonesia.
3Hiroki Matsui, Kobe University, Graduate School of Maritime Science, Japan.
Manuscript received on 20 September 2019 | Revised Manuscript received on 06 October 2019 | Manuscript Published on 11 October 2019 | PP: 584-588 | Volume-8 Issue-2S10 September 2019 | Retrieval Number: B11050982S1019/2019©BEIESP | DOI: 10.35940/ijrte.B1105.0982S1019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Spatial Analysis is often thought through the cartographic two dimensions of space, with eventually a 3D component and any form of data associated to it. This concept inherited from eras from data mapping on paper has been driving recent computational development in spatial analysis, however spatial analysis can free itself from this virtual plane, we human evolve on and use any space vertical, reversed, spherical, tubular to investigates all sorts of issues, like the production of timber from trees for instance. As Indonesia is a forestry nation, being able to effectively assess the usable amount of timber available. In the present contribution we aimed to show the loss that can be miscalculated using DBH traditional measurement, and to do so we used a photographic based Structure from Motion method combined with Wavelet Decomposition Analysis. The data shows that the DBH method is correct between 60 to 80%, when considering large-scale variations between DBH and SfM-obtained data, showing that the estimates for the timber industry could be improved, even without the use of expensive laser-based equipment.
Keywords: Structure From Motion; Multiple-View-Stereo-Photogrammetry; Photogrammetry; Geographical Information System; Tree Stem Measurement; Wavelet Decomposition.
Scope of the Article: Social Sciences