• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.3
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• pp.35-47
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• 2018

Tree height is information that is used as a parameter for variety of tasks related to forests. Specifically, customized topics related to forests such as afforestation map are also used for production. In order to calculate tree height information, a field survey or drawing was using aerial photographs. However, there is a problem that is costing a lot of time and money. Therefore, it was suggested to calculate tree height using aerial photographs taken every two years. Thus, the method for calculating tree heights was validated by unmanned aerial photogrammetry, and tree heights were calculated using outputs generated by unmanned aerial photogrammetry applied to the unmanned aerial photograph and Aerial photograph DB. The comparison of calculated tree heights shows that the measures proposed in this study are efficient. and We expect to improve the usability of aerial photographs DB.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.2
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• pp.128-137
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• 2011

The purpose of the FAPIS(Forest Aerial Photograph Interpretation System) development is to increase accuracy and efficiency of the digital forest cover type mapping for improving conventional analog-based mapping procedures by optimizing work-flow and mapping technology. The database models including digital forest cover type map, aerial photograph, and topographic map were designed for use in this system construction. The interface configured concisely to connect with functions such as search engine, display control, conversion to stereo interpretation mode, modification tools, automation of print layout and database models. It is expected that the standardization methodology based on this system can be applied and extended in making all kinds of digital thematic maps, providing decision-making and information of forest resources.

• Journal of Korean Society for Geospatial Information Science
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• v.17 no.2
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• pp.61-69
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• 2009

In mid-July, 2006 the torrential rainfall across Gangwon-do region caused 48 casualties and 1,248 houses submerged, resulting in damages with the restoration costs of 3 trillion and 512.5 billion won. This was because the topographic characteristics of Gangwon-do region for which mountainous areas mostly account increased the effects of landslide. In this study, the landslide region was shot using the PKNU No.4 system immediately after the occurrence of landslide in order to analyze it as objectively, exactly, and rapidly as possible. 1,054 areas with landslide occurrence were extracted by digitizing the shot images through visual reading after orthometric correction using ERDAS 9.1. Using the Arc GIS 9.2, a GIS program, hydrologic, topographic, clinical, geologic, pedologic aspects and characteristics of the landslide region were established in database through overlay analysis of digital map, vegetation map, geologic map, and soil map, and the status and characteristics of the occurrence of the landslide were analyzed.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.709-714
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• 2020

Forest resources are the most important element that can affect the nature environment directly in modern society. Due to the fast industrialization of our country and marginal states like China, many people suffer torments from severe environmental pollution like yellow and fine dusts everyday recently. So the interests concerned about the significance of nature and environment become major issue nowadays. Precious forest resources, however, are not properly managed and destroyed vainly due to frequent mountain fires, damages by floods, and unplanned land development in real world. Therefore, efficient forest management is required to solve these problems effectively. In this research, we design and implement the forest information database that can predict the growth of forest resources and enables us to manage forest resources efficiently, make decision for logging, build the waterway to prevent flooding, and construct a future tree-planting project easily using forest aerial photograph taken by a drone in order to deploy and manage the forest resources scientifically and systematically.