forest road location modelling with dijkstra’s shortest path and arcgis
abstract
road network modelling has great potential to reduce forest road construction
and planning costs. forest roads are the essential means to access forest resources and
are one of the most expensive factors in forest operations. route optimization models
have been used recently to aid in pre-planning of forest road networks. modern
technology is increasing the feasibility of these models. lidar data is becoming less
expensive and more freely available aiding in the accuracy of road network models.
lidar has the potential to greatly reduce the costs of forest roads through selection of
optimal route locations. lidar will also reduce the manual planning and design of
forest roads further reducing costs. the objective of this study is to model forest road
locations. model parameters calculate distance and slope as the factors in selecting
locations. the study tested the same areas with three data types 50 m2 cell resolution
dem, 5 m2 cell resolution dem, and 2 point per metre lidar. the test cases in this
study found that using lidar data gave the best location. overall there is potential
using these data and models to assist in the pre-planning of forest roads.
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- undergraduate theses [325]