Road Network Planning in Tropical Forests Using GIS

IF 2.7 2区 农林科学 Q1 FORESTRY
Fidel Cándano Acosta, Samuel Parra Rengifo, M. L. Garcia, E. Matricardi, Guido Vicente Briceño Castillo
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引用次数: 0

Abstract

This study intended to develop a road network planning for timber harvesting in tropical forests in Peru using georeferenced and field data and Geographic Information System (GIS). The Digital Elevation Model (DEM) Alos Palsar 12.5 m was used. The DEM was processed to generate the hydrography and terrain slope maps. A weighted raster was created using overlapping weights of the slope raster and the hydrography map. We created a least cost path raster by using the weighted raster origin and destination points. We used a Triangular Irregular Network (TIN) to validate the Least Cost Path. In addition, histograms of the trajectory of each path with altitude and slope values ​​ were generated. We observed that the forest road planning using GIS provided better definition (economically and environmentally) of road networks in our forest site than those traditionally defined using conventional mapping techniques.
基于GIS的热带森林道路网规划
这项研究的目的是利用地理参考和实地数据以及地理信息系统,为秘鲁热带森林的木材采伐制定道路网规划。采用数字高程模型Alos Palsar 12.5 m。对DEM进行处理,生成水文和地形坡度图。利用坡度栅格和水文地图的重叠权重创建加权栅格。我们通过使用加权栅格原点和目标点创建了一个代价最小的路径栅格。我们使用三角形不规则网络(TIN)来验证最小代价路径。此外,还生成了每条路径的轨迹直方图,包括高度和坡度值。我们观察到,使用GIS的森林道路规划比使用传统制图技术定义的道路网络提供了更好的(经济和环境)定义。
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来源期刊
CiteScore
5.20
自引率
12.50%
发文量
23
审稿时长
>12 weeks
期刊介绍: Croatian Journal of Forest Engineering (CROJFE) is a refereed journal distributed internationally, publishing original research articles concerning forest engineering, both theoretical and empirical. The journal covers all aspects of forest engineering research, ranging from basic to applied subjects. In addition to research articles, preliminary research notes and subject reviews are published. Journal Subjects and Fields: -Harvesting systems and technologies- Forest biomass and carbon sequestration- Forest road network planning, management and construction- System organization and forest operations- IT technologies and remote sensing- Engineering in urban forestry- Vehicle/machine design and evaluation- Modelling and sustainable management- Eco-efficient technologies in forestry- Ergonomics and work safety
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