DTM models to enhance planning of timber harvesting

This paper studies the applicability of DTM with the resolution of 4 × 4 m for the analysis of macro-topographic factors (terrain slope, aspect, terrain ruggedness index) and one part of micro-topographic factors (occasional and constant streams) as features important for vehicle mobility d...

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Main Authors: Đuka Andreja, Poršinsky Tomislav, Vusić Dinko
Format: Article
Language:srp
Published: Faculty of Forestry, Belgrade 2015-01-01
Series:Glasnik Šumarskog Fakulteta: Univerzitet u Beogradu
Subjects:
DMR
Online Access:http://www.doiserbia.nb.rs/img/doi/0353-4537/2015/0353-453715035D .pdf
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spelling doaj-dc5d8b45686643fabf535596d64ed92d2020-11-24T23:34:11ZsrpFaculty of Forestry, BelgradeGlasnik Šumarskog Fakulteta: Univerzitet u Beogradu0353-45372217-86002015-01-012015suppl.354410.2298/GSF15S1035D0353-453715035DDTM models to enhance planning of timber harvestingĐuka Andreja0Poršinsky Tomislav1Vusić Dinko2University of Zagreb, Faculty of Forestry, Zagreb, CroatiaUniversity of Zagreb, Faculty of Forestry, Zagreb, CroatiaUniversity of Zagreb, Faculty of Forestry, Zagreb, CroatiaThis paper studies the applicability of DTM with the resolution of 4 × 4 m for the analysis of macro-topographic factors (terrain slope, aspect, terrain ruggedness index) and one part of micro-topographic factors (occasional and constant streams) as features important for vehicle mobility during timber skidding. The analysis of directions of timber extraction in relation to the spatial position of primary forest traffic infrastructure of the study area was conducted in order to determine from which forest areas timber will be extracted up or down the slope (moving of loaded vehicle). Determination of water bodies (streams) and the surrounding sensitive areas was carried out using GIS tool TauDEM. Unevenness of the terrain was determined based on the Terrain Ruggedness Index (TRI) which showed moderately to very rugged terrain on 60.1% of the research area where vehicle mobility could be difficult (if not impossible) i.e. the necessity of a secondary forest road network is clear. DTM analysis of study area regarding vehicle (skidder) mobility and possible planning of timber extraction indicated different availability and quality of data. Digital terrain models present a good basis for the analysis of key constraints for forestry vehicles mobility or terrain trafficability (slope and direction of timber extraction). Using DTM of higher resolution (e.g. LiDAR images), will increase the accuracy of the results and the quality of the analysis.http://www.doiserbia.nb.rs/img/doi/0353-4537/2015/0353-453715035D .pdfDMRtimber harvestingterrain trafficability
collection DOAJ
language srp
format Article
sources DOAJ
author Đuka Andreja
Poršinsky Tomislav
Vusić Dinko
spellingShingle Đuka Andreja
Poršinsky Tomislav
Vusić Dinko
DTM models to enhance planning of timber harvesting
Glasnik Šumarskog Fakulteta: Univerzitet u Beogradu
DMR
timber harvesting
terrain trafficability
author_facet Đuka Andreja
Poršinsky Tomislav
Vusić Dinko
author_sort Đuka Andreja
title DTM models to enhance planning of timber harvesting
title_short DTM models to enhance planning of timber harvesting
title_full DTM models to enhance planning of timber harvesting
title_fullStr DTM models to enhance planning of timber harvesting
title_full_unstemmed DTM models to enhance planning of timber harvesting
title_sort dtm models to enhance planning of timber harvesting
publisher Faculty of Forestry, Belgrade
series Glasnik Šumarskog Fakulteta: Univerzitet u Beogradu
issn 0353-4537
2217-8600
publishDate 2015-01-01
description This paper studies the applicability of DTM with the resolution of 4 × 4 m for the analysis of macro-topographic factors (terrain slope, aspect, terrain ruggedness index) and one part of micro-topographic factors (occasional and constant streams) as features important for vehicle mobility during timber skidding. The analysis of directions of timber extraction in relation to the spatial position of primary forest traffic infrastructure of the study area was conducted in order to determine from which forest areas timber will be extracted up or down the slope (moving of loaded vehicle). Determination of water bodies (streams) and the surrounding sensitive areas was carried out using GIS tool TauDEM. Unevenness of the terrain was determined based on the Terrain Ruggedness Index (TRI) which showed moderately to very rugged terrain on 60.1% of the research area where vehicle mobility could be difficult (if not impossible) i.e. the necessity of a secondary forest road network is clear. DTM analysis of study area regarding vehicle (skidder) mobility and possible planning of timber extraction indicated different availability and quality of data. Digital terrain models present a good basis for the analysis of key constraints for forestry vehicles mobility or terrain trafficability (slope and direction of timber extraction). Using DTM of higher resolution (e.g. LiDAR images), will increase the accuracy of the results and the quality of the analysis.
topic DMR
timber harvesting
terrain trafficability
url http://www.doiserbia.nb.rs/img/doi/0353-4537/2015/0353-453715035D .pdf
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AT porsinskytomislav dtmmodelstoenhanceplanningoftimberharvesting
AT vusicdinko dtmmodelstoenhanceplanningoftimberharvesting
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