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http://dx.doi.org/10.5762/KAIS.2020.21.12.411

Application of Object Modeling and AR for Forest Field Investigation  

Park, Joon-Kyu (Department of Civil Engineering, Seoil University)
Oh, Myoung-Kwan (Department of Electrical & Electronics Service, Hyejeon College)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.21, no.12, 2020 , pp. 411-416 More about this Journal
Abstract
Field investigations of forests are carried out by writing measured data by hand, and it is a hassle to reorganize the results after a field survey. In this study, a method using object modeling and augmented reality (AR) was applied in a test forest to increase the efficiency of a field investigations. Using a 3D laser scanner, data on were acquired 387 trees within an area of 1 ha at the study site. The coordinates, height, and diameter were calculated through object extraction and modeling of a tree. The proposed can reduce the time required to acquire data in the field and can be used as basic data for building related systems. In addition, the modeling results of trees and a survey using GNSS and AR techniques can be used check coordinates, labor, and attribute information, such as the chest height diameter of the trees being surveyed in the field. The shortcomings of the survey method could be improved. In the future, the method could greatly improve the efficiency of tree surveys and monitoring by reducing the manpower and time required for field surveys.
Keywords
Augmented Reality; Diameter at Breast Height; Experimental Forest; Forest Survey; Object Modeling;
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Times Cited By KSCI : 11  (Citation Analysis)
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