DTM models to enhance planning of timber harvesting

Andreja Đuka, T. Poršinsky, D. Vusić
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引用次数: 9

Abstract

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.
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DTM模型加强木材采伐的规划
本文研究了4 × 4 m分辨率的DTM在分析木材打滑过程中影响车辆移动的宏观地形因子(地形坡度、坡向、地形崎岖指数)和一部分微观地形因子(偶然流和恒定流)的适用性。研究区主要森林交通基础设施的空间位置与采伐方向的关系进行了分析,以确定哪些林区的木材将在坡上或坡下(装载车辆移动)采伐。利用GIS工具TauDEM对水体(溪流)及周边敏感区域进行了确定。地形不平度是根据地形崎岖指数(TRI)确定的,该指数显示,60.1%的研究区域地形中度至非常崎岖,车辆移动可能很困难(如果不是不可能的话),即建立次级森林道路网络的必要性是明确的。对研究区车辆(滑车)流动性和采伐可能规划的DTM分析表明,数据的可用性和质量存在差异。数字地形模型为分析林业车辆机动性或地形可通行性的关键制约因素(采伐的坡度和方向)提供了良好的基础。使用更高分辨率的DTM(如激光雷达图像),将提高结果的准确性和分析质量。
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