• Journal of Korean Society of Forest Science
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• v.103 no.2
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• pp.258-263
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• 2014

The purpose of this study is to provide basic data for forest roads management by using AHP methodology to group the grade of disaster risk. In addition to this, a field study was performed at 114 targeted points on forest roads where there are high risks of disaster occurrence. The results of the field survey and the analysis of AHP were compared to provide the degree of disaster risks. It shows that the drainage facilities occupied the highest weighted value. Meanwhile, based on AHP analysis data, evaluation chart was created by providing evaluation criteria and evaluation score to each evaluation items. As a result of applying the evaluation chart to the field survey data, the highest score was 78.8 and the lowest score was 42.7 with the mean score of 61.8. Finally, through the experts' consultation based on calculated scores, this study proposed four different groups of disaster risk on forest roads.

• Journal of the Society of Disaster Information
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• v.16 no.3
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• pp.586-593
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• 2020

Purpose: This study aims to develop an algorithm for predicting sediment discharge by debris flow, and develop GIS-based decision support system for optimal arrangement of check dam. Method: The average stream width and flow length were used to predict the cumulative sediment discharge by debris flow. At this time, the amount of slope failure on source area and average flow length were utilized as input factors. Result: The predicted sediment discharge calculated through the algorithm was 1.1 times different on average compared to the actual sediment discharge by debris flow. In addition, the program is an objective indicator that selects the location and size of the check dam, and it can help practitioners make rational decisions. Conclusion: The soil erosion control works are being implemented every year. Therefore, it is expected that the GIS-based decision support system for location and size of the check dam will contribute to the prevention of sediment-related disasters.

• Journal of Korean Society of Forest Science
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• v.99 no.1
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• pp.52-56
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• 2010

Crown fuel characteristics such as crown bulk density, crown base height, and fuel moisture content of Japanese red pine were analyzed. Ten trees in Mt. Palgong at Daegu, were destructively sampled and their crown fuels were weighed separately for each fuel category. Fuel content of live and dead crown component were 53%, and 15.3%, respectively. Foliar moisture content was 56%. Needles and twigs with diameter less than 1cm diameter accounted for 16.2%, 55% of total and crown fuel load. Average crown bulk density of Japanese red pine was 0.24 kg/$m^3$, effective crown fuel bulk density was 0.1325 kg/$m^3$.

• Journal of the Society of Disaster Information
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• v.9 no.3
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• pp.347-357
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• 2013

Abstract The objective of this study is to investigate and analyze understanding of residents living in landslide disaster impact areas to landslide mitigation and recovery projects with respect to develop socio-economic damage level standards of landslide disasters. South Korea is one of the representative mountain-side urbanized countries that cities have been developed through mountain-side urbanization due to high population density because mountain areas occupy 64 percent of the total land proportion. South Korea were recently suffered from the massive landslide disasters with significant causality that overcomes the annual drowned causality of flood disasters. Consequently, the total death toll of South Korea landslide disasters including unexpected Mt. Woo-Myun disaster and Chuncheon disaster in 2011 became forty-three persons. The hugh amount of disaster management budget was spent in landslide mitigation and recovery projects of the affected areas. This research performed facility field research and resident surveys for landslide damage conditions and damage factors for Mt. Woo-Myun, Chuncheon, Pusan, and Dongdoochon that were major effect cities of 2011 landslide disasters.

• Journal of Korean Society of Forest Science
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• v.100 no.3
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• pp.417-422
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• 2011

In general, forest tending work contributes to preventing landslides by enhancing forest health. In order to quantify beneficial effects of forest tending, landslide occurrences in forest tending area and those in non-forest tending area were compared and analyzed. The landslide had been hit hard in Inje and Pyeongchang county, Gangwon province, following Typhoon 'Bilis' on July 15, 2006. Data on forest tending of Pinus koraiensis and Larix kaempferi stands were acquired from the Inje National Forest Station, North regional forest service. The rate of landslide occurrence was increased sharply just after forest tending work and was decreased as time goes by. The analysis also found that the change in landslide frequency was slight by age class in the non-forest tending area, while it decreased as age class increased in the forest tending area.

• Journal of Korean Society of Forest Science
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• v.99 no.3
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• pp.259-266
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• 2010

Forest fire occurrence in Korea is highly related to human activities and its spatial distribution shows a strong spatial dependency with cluster pattern. In this study, we analyzed spatial distribution pattern of forest fire with point pattern analysis considering spatial dependency. Distributional pattern was derived from Ripley's K-function according to causes and distances. Spatially clustered intensity was found out using Kernel intensity estimation. As a result, forest fires in Korea show clustered pattern, although the degrees of clustering for each cause are different. Furthermore, spatial clustering pattern can be classified into two groups in terms of degrees of clustering and distance. The first group shows the national-wide cluster pattern related to the human activity near forests, such as human-induced accidental fire in mountain and field incineration. Another group shows localized cluster pattern which is clustered within a short distance. It is associated with the smoker fire, arson, accidental by children. The range of localized clustering was 30 km. Beyond of this range, the patterns of forest fire became random distribution gradually. Kernel intensity analysis showed that the latter group, which have localized cluster pattern, was occurred in near Seoul with high densed population.

• Journal of Korean Society of Forest Science
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• v.104 no.4
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• pp.598-606
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• 2015

This study analyzed the characteristics of the disaster occurrence and disaster-prone zones on the 85 forest roads in the Jeollabuk-do area by referring to their forest environment factors. The on-site survey reveal the types of forest road disasters as follows: erosions of cutting slopes 54.1%, erosions of the filling slope 35.3%, collapses of cutting slopes with filling slope 9.4%, and erosions of road surface 1.1%. Disasters most frequently occurred in the vertical location (the hillside) and the horizontal location (the slope), and the forest factors affecting the road disasters were degree of cutting slopes in $31^{\circ}{\sim}40^{\circ}$, degree of filling slopes in $21^{\circ}{\sim}30^{\circ}$, and the soil texture of SiL. The most significant factors on the most frequent occurrence of forest road disasters were forest type of coniferous, slope aspect northeast, forest age of plantation and felling area, and rainfall in 1601~1700. An analysis of the occurrence of the forest road disasters in the Jeollabuk-do area showed a positive correlative relationship with the following factors of the forest environment within a 1% error: degree of cutting slope in $31^{\circ}{\sim}40^{\circ}$, annual accumulation rainfall in 1601~1700. and showed a positive correlative relationship with the following factors of the forest environment within a 5% error: horizontal location of valley, forest type of coniferous, length of slope more than 20 m, forest age of plantation and felling area, soil texture of SiL.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.10 no.6
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• pp.626-632
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• 2017

Since natural disaster occurs increasingly and becomes complicated, it causes deaths, disappearances, and damage to property. As a result, there is a growing interest in the development of ICT-based natural disaster response technology which can minimize economic and social losses. In this letter, we introduce the main functions of the forest fire management platform by using images from an UAV. In addition, we propose a disaster image analysis technology based on the deep learning which is a key element technology for disaster detection. The proposed deep learning based disaster image analysis learns repeatedly generated images from the past, then it is possible to detect the disaster situation of forest-fire similar to a person. The validity of the proposed method is verified through the experimental performance of the proposed disaster image analysis technique.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.11 no.1
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• pp.14-22
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• 2008

The forest soil sediment disasters occurred in Jinbu-myeon Pyeongchang county were investigated characteristics by the aerial photograph analysis. After digitizing from aerial photographs, forest soil sediment disaster sites were classified into 695 collapsed sites, 305 flowed sites and 199 sediment sites. DEM (Digital Elevation Model) were generated from 1 : 5,000 digital topographic map. Factors of geography, hydrology, biology, and geology were analyzed using DEM, geologic map, and forest stand map with aerial photographs by GIS spatial analysis technique. The forest soil sediment disasters were mainly occurred from southeastern slope to southwestern slope. In collapsed sit es, the average slope degree is $28.9^{\circ}$, the average flow length is 163.5m, the average area of drainage basin is 897$m^2$. In case of flowed sites, the average slope degree, flow length, the area of drainage basin and confluence order is $27.0^{\circ}$, 175m, 2,500$m^2$ and 1, respectively. In sediment sites, the average slope, flow length, the area of drainage basin and confluence order is $12.5^{\circ}$, 2,50m, 25,000$m^2$ and 4, respectively. Also the forest soil sediment disasters were occurred most of collapsed sites in the afforest land after felling and igneous rocks composed of granite.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.687-690
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• 2005

Recently there have been a lot of kinds of damages in forest area such as forest fires, forest pest, landslide so that the efficient methods to mange those information and the way to face them are deadly needed. In this study, there were preparing the various vegetation index map and comparing them with the field surveying the tried to figure out which vegetation index algorism is the best proper to present forest fire damaged area. These all were based on Landsat ETM+ satellite image (2000.10.16). The result of this study is to select the high correlation algorism among the various vegetation indexes and then construct the forest fire disaster map, the case of forest fires damaged area.