n this study, we attempted to use a simple method to interpret forestry work road networks from aerial photography images that were acquired by a small, unmanned multicopter, and to construct geographic information system (GIS) data for these locations. Ortho-mosaic images were made from multiple aerial photography images. These images were high resolution (about 35 cm per pixel), and the forestry work road network locations were apparent on these images. We used GIS software to draw polylines on places that we were able to interpret as forestry work road network locations in these images. As a result, the GIS data of the forestry work road network locations that we constructed had less than a 1.0% error rate compared with surveying results. The advantages of using a small, unmanned multicopter are that anyone can easily make high-resolution, ortho-mosaic images and, thus,can inexpensively acquire high-precision GIS data for forestry work road networks. We are convinced that using a small, unmanned multicopter is an effective technique for interpreting forestry work road networks. Therefore, we anticipate that these multicopters will contribute to forest management by serving as tools that can collect information, which can be fed back to a GIS, about the day-to-day changes in forests that result from forest management treatments.
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