• Journal of Internet Computing and Services
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• v.21 no.5
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• pp.31-37
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• 2020

Last year's Goseong-Sokcho forest fires have highlighted the limitations of extinguishing work for night-time forest fire and the importance of quick identification for information on the spread of forest fire. However, it is not easy to find services that take into account the characteristics of forest fires, as most existing disaster-related mobile applications and research assume various disaster situations rather than just forest fire situations. Therefore, a system that can provide information quickly is needed, taking into account the characteristics of forest fires and the limitations of extinguishing work. In this paper, we propose evacuation route guidance services that bypass areas where fire has already spread, supplement existing methods of extinguishing work, and provide general information on forest fire situations in real time, by putting drones into forest fire situations. It has been implemented to automate image analysis using the Rekognition service of Amazon Web Service (AWS), and the results of fire detection and the T Map API guide the evacuation path. It is expected that the results of this paper will allow efficient and rapid rescue and extinguishing work to be carried out, and further reduce the damage of human life caused by forest fires.

• Journal of Korean Society of Forest Science
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• v.109 no.4
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• pp.532-543
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• 2020

This study was conducted with the aim of comparing and analyzing the relationship between visitors' characteristics and service satisfaction, overall satisfaction and loyalty (revisit intention, recommendation intention) of recreational forests and arboretums. The main results are as follows. First, the scores given for service satisfaction, overall satisfaction, and loyalty of the users of the recreational forests were all higher than those given by the visitors to arboretums, and the service satisfaction level was relatively different from that of the overall satisfaction level or loyalty of the users. Second, the service satisfaction level of the recreational forests did not affect the overall satisfaction level and visitor loyalty, whereas the service satisfaction level of the arboretum was found to be positively correlated with the overall satisfaction level and visitor loyalty. The results are meaningful given that the visitors to recreational forests and arboretums are distributed throughout the country; thus, we confirmed that there are differences in visitor characteristics between the two types of forest recreation areas. In order to differentiate operation strategies for each type of forest recreation areas, the development of common survey items covering the entire set of services provided by forest recreation areas is needed. In addition, it would be advantageous to further develop and modularize the relevant items and conduct surveys in parallel with common survey items, as the service contents are operated selectively to function in accordance with the purpose of creating each forest recreation area.

• Korean Journal of Agricultural Science
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• v.43 no.3
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• pp.299-319
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• 2016

The National Forest Inventory (NFI) is important for providing fundamental data for basic forest planning and the establishment of forest policies for the purpose of implementing sustainable forest management. The purpose of this study is to present the development of Korea's NFI including legal basis, sampling design, and measured variables and to review the usage of NFI data. The survey methods and forestry statistics among the Unites States, Canada, Japan, China, and European countries were briefly compared. Total 140 publications utilizing NFI data between 2008 and 2015 were categorized with 15 subjects. Korea has conducted the NFI 6 times since 1971, but only the $6^{th}$ NFI is comparable with the fifth, the previous NFI, because the permanent sampling plots have been shared between the periods. The Korean Forestry Statistics contains only half as many variables as that of advanced countries in Forestry. More researches were needed to improve consistent measurement of diverse variables through implementation of advanced technologies. Additional data for Forest Health Monitoring since the NFI $6^{th}$ must be under quality control which will be an essential part of the inventories for providing the chronological change of forest health.

• Journal of Korean Society of Rural Planning
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• v.13 no.4
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• pp.31-42
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• 2007

This study aims to compare internet portal sites for rural tourism, and to suggest the improved contents for homepage information on mountain villages under the Korea Forest Service. Design, interface, information source, and communication as estimation indicators were used to understand the characteristics of portal sites, and sub-items under indicators to analyse the portal sites were established. Nationwide portal sites were compared for rural tourism information. Also, German and Italian portal sites were compared as overseas cases. As a result, an internet portal site for information on mountain villages under the Korea Forest Service has to be improved as compared with other portal sites related to rural tourism. Firstly, it is necessary to modify and improve the category explaining mountain villages. Secondly, homepage for developing mountain villages has to be established and linked to potential visitors. Thirdly, portal sites for developing mountain villages subsequently have to be constructed under the site of the Korea Forest Service.

• Informatization Policy
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• v.20 no.3
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• pp.86-105
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• 2013

In the aspects of existing cultivation and management of forest resources, national forest informatization has been promoted so that the public can use the resources and so that efficient and systematic cultivation and management of forest resources can be performed constantly. In particular, even though forest informatization has been attempted a lot despite the distinct characteristics of forest, the attempts have achieved little effects. Typically, many of the internal work systems of Korea Forest Service have been built for the purpose of collecting top-down data in the main office rather than the actual work site, and also, from the aspects of use by the public as well, various contents have been provided by the persons concerned, so useful information has not been able to be transmitted systematically. Therefore, Korea Forest Service has promoted IT governance concept and EA-based informatization as a way to solve enterprise problems and also reinforce work and service in the existing system to promote the project to build the foundation of national forest informatization. Based on this, this study suggests chief challenges or implications.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.01a
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• pp.189-190
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• 2011

Recently people have increased to climb mountain. Owing to developing IT technology, the number of people using smart phone have increased remarkably as well. In this context, the Korea Forest Service has implemented the project of Mountain Climbing Information Public Service(MCIPS). The purpose of the MCIPS is to support climbing safely based on a trail map of spatial data of GIS(geographic information system). The customer will be able to access the MCIPS through n-screen(IP-TV, Web Site, Smart phone, Galaxy tab) provided a broadcasting and telecommunication convergence service. In addition, the MCIPS would support two-way communication through connecting to Twitter and Youtube. The MCIPS will make the customer fun using Augmented Reality(AR) of Smart phone(Android) and contribute to protecting people from mountain accidents.

• Journal of Forest and Environmental Science
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• v.24 no.3
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• pp.165-169
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• 2008

This study attempts to analyze the relationship between forest volume and age based on 5th NFI data and spectral characteristics of satellite imagery using ASTER sensor in Korea. Forest stand volume and age had the negative correlation with the spectral reflectance in all of the band (Blue, Green, Red, SWIR). With increasing of stand volume and age, spectral reflectance decrease. The spectral reflectance of band1 showed the highest correlation between stand volume and spectral reflectance among the VNIR wavelength. The spectral reflectance band 1, 2 (visible wavelength) and stand age have high correlation compared to other bands. The correlation coefficients between forest volume and vegetation indices have low relationship. This result indicates that the reflectance of blue band may be important factor to improve the potential of optical remote sensing data to estimate forest volume and age.

• Journal of Korean Society of Rural Planning
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• v.21 no.2
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• pp.51-61
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• 2015

The necessity of universal design for forestry is increasing. Although several studies applied universal design in forest site, they had been only concentrated on the barrier-free design for the limited activities rather than overall utilization for considering all visitors from the disabled, the elderly and the infirm to the baby and child. The purpose of this study is to find out the principle of the universal design within forest welfare service facilities by analysing how socially disadvantaged people perceive overall usage of natural recreation forest area. This study figures out the main principles of universal design in forest welfare through analyzing usage of children and disabilities in Yumyeongsan natural recreation forest where is one of the popular type of forest welfare area. By doing focus interviews targeted on children and disabilities, the results are analyzed through semantic network analysis, objectively. The result proves that universal design in forest welfare area contains four principles; convenience, safety, diversity and amenity. Also it confirmed that disabilities need better internal space facilities and priority care. Through those characters of universal design, forest area will be able to cover more various type of users as forest welfare area.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.25 no.6
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• pp.35-50
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• 2022

As the water shortage has become a noticeable issue due to climate change, forests play an importance role as the provider of water supply service. There is, however, little information about the relationships between the factors used in the estimation of water supply service and coarse pore fraction of forest soil which determines the potential of water supply. To find out whether there would be an amelioration in the scoring system of water supply service estimation, we examined all factors except meteorological one and additionally, analyzed 4 extra factors that might be related with coarse pore fraction of soil. A total of 2,214 soil samples were collected throughout South Korea to measure coarse pore fractions from 2015 to 2020. First, the result of average coarse pore fraction of all samples showed 32.98±6.59% which was consistent with previous studies. And the results of non-parametric analysis of variance indicated that only two of eleven factors that was used in the scoring system matched the results of coarse pore fraction of forest soils. Tree canopy coverage showed no difference among categories, and slope also showed no significance at level of 0.05 in the linear regression analysis. Additionally, the applicability of 4 extra factors were confirmed, as the result of coarse pore fractions of soil samples were different for various categories of each factor. Therefore, the scoring system of water supply service of forest should be revised to improve accuracy.

• Analytical Science and Technology
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• v.34 no.5
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• pp.231-239
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• 2021

Detection of fire accelerants from fire residues is critical to determine whether the case was arson or accidental fire. However, to develop a standardized model for determining the presence or absence of fire accelerants was not easy because of high temperature which cause disappearance or combustion of components of fire accelerants. In this study, logistic regression, random forest, and support vector machine models were trained and evaluated from a total of 728 GC-MS analysis data obtained from actual fire residues. Mean classification accuracies of the three models were 63 %, 81 %, and 84 %, respectively, and in particular, mean AU-PR values of the three models were evaluated as 0.68, 0.86, and 0.86, respectively, showing fine performances of random forest and support vector machine models.