• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2007.04a
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• pp.211-214
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• 2007

After the forest fire, as access is not easy, forest damage degree are determined with Landsat TM image rather than visual inspection. Therefore in this study, damaged areas are extracted with factor analysis and cluster analysis. Second factor analysis was performed for areas suspicious as forest fire damage areas to evaluate accuracy after separating into strong, medium and light forest fire areas.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2008.11a
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• pp.409-415
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• 2008

In this study, we considered the fire risk assessment of the temple using fire loads and the classification of combustibles. The building construction materials were classified as walls, beam-columns, floorings, ceiling panels and the loading combustibles were classified into fixed materials and movable materials. As a result, we confirmed that the total fire load of the Palsangjeon was $368\;kg/m^2$. The building construction materials accounted for approximately 93.8 percent of the total fire load and the loading combustibles accounted for approximately 6.2 percent.

• Korean Journal of Remote Sensing
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• v.35 no.6_2
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• pp.1107-1115
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• 2019

Satellite data play a major role in supporting knowledge about forest fire by delivering rapid information to map areas damaged. This study, we used 7 Sentinel-2A images to detect change area in forests of Sokcho on April 4, 2019. The process of classify forest fire severity used 7 levels from Sentinel-2A dNBR(differenced Normalized Burn Ratio). In the process of classifying forest fire damage areas, the study selected three areas with high regrowth of vegetation level and conducted a detailed spatial analysis of the areas concerned. The results of dNBR analysis, regrowth of coniferous forest was greater than broad-leaf forest, but NDVI showed the lowest level of vegetation. This is the error of dNBR classification of dNBR. The results of dNBR time series, an area of forest fire damage decreased to a large extent between April 20th and May 3rd. This is an example of the regrowth by developing rare-plants and recovering broad-leaf plants vegetation. The results showed that change area was detected through the change detection of danage area by forest category and the classification errors of the coniferous forest were reached through the comparison of NDVI and dNBR. Therefore, the need to improve the precision Korean forest fire damage rating table accompanied by field investigations was suggested during the image classification process through dNBR.

• Korean Journal of Remote Sensing
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• v.38 no.6_1
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• pp.1273-1283
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• 2022

Recently, forest fires have frequently occurred due to climate change, leading to human and property damage every year. The forest fire monitoring technique using remote sensing can obtain quick and large-scale information of fire-damaged areas. In this study, the Gangneung and Donghae forest fires that occurred in March 2022 were analyzed using the spectral band of Sentinel-2, the normalized difference vegetation index (NDVI), and the normalized difference water index (NDWI) to classify the affected areas of forest fires. The U-net based convolutional neural networks (CNNs) model was simulated for the fire-damaged areas. The accuracy of forest fire classification in Donghae and Gangneung classification was high at 97.3% (f₁=0.486, IoU=0.946). The same model used in Donghae and Gangneung was applied to Uljin and Samcheok areas to get rid of the possibility of overfitting often happen in machine learning. As a result, the portion of overlap with the forest fire damage area reported by the National Institute of Forest Science (NIFoS) was 74.4%, confirming a high level of accuracy even considering the uncertainty of the model. This study suggests that it is possible to quantitatively evaluate the classification of forest fire-damaged area using a spectral band and indices similar to that of the Compact Advanced Satellite 500 (CAS500-4) in the Sentinel-2.

• Fire Science and Engineering
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• v.30 no.2
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• pp.98-105
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• 2016

A fire risk assessment in rack-type warehouse is typically determined based on the following factors: 1. flammability and fire loads for storage of goods, packing materials, and pallet, 2. a ceiling height of warehouse indoor spaces, and 3. height, arrangement, and spacing for storage racks. For appropriately extinguishing and protecting the fire in warehouses, therefore, it is necessary to classify combustibles considering the previously mentioned factors and to develop design Standards for sprinkler system. As the first step to apply automatic sprinkler system to domestic warehouses, this study investigated characteristics for commodity distribution and warehouse configuration using 28 warehouses in five distribution complexes located in Gyeonggi-do, South Korea. In addition, this study analyzed Standards for commodity distribution adopted in USA, Europe, and Japan. Using the field survey analysis, this study was aimed to provide baseline data to prepare for Commodity Classification Standard for warehouses in South Korea.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2008.11a
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• pp.524-535
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• 2008

위험물들은 위험물의 사용 및 관리뿐만 아니라 수송시에도 많은 위험성을 내포하고 있어 각국에서는 적당한 기준을 마련하여 특별히 관리하고 있다. 우리나라 철도 위험물안전수송에 관한 철도안전법 개정을 위하여 국내 철도 위험물의 수송량과 종류를 분석하고 국내외 위험물분류기준을 비교하였다. 우리나라는 지리적으로 대륙을 연결하기 편리한 위치에 있어 향후 국경을 넘어 대륙을 횡단하는 국제법을 채택하는 것이 유리하고, 수송되어야 할 물질의 종류가 다양해질 것을 대비하여 국제적으로 통용될 수 있는 위험물일람표를 채택하는 것을 제안하였다.

• Proceedings of the Korean Quaternary Association Conference
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• 2002.12a
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• pp.94-95
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• 2002

South Korea is divided into five ecoprovinces and sixteen ecoregions. The criteria for ecoprovince classification are ecosystem connectivity and cultural homogeneity. Ecoregions are classified by cluster analysis. The variables used in the analysis are latitude, longitude, seasonal mean temperature, and seasonal precipitation. The large forest fires occurred in the specific ecoregions including Kangwon coastal ecoregion, WoolYoung coastal ecoregion, Hyungsan Taehwa coastal ecoregion, Upper Nagdong river basin ecoregion and Southeastern inland ecoregion. The largest forest fire in the korean history occurred in Kangwon coastal ecoregion in the year 2000. The fire devastated the forestland over 25,000ha. Korea Forest Service, Ministry of Environment, Province Kangwon and NGO organized an investigation committee for the restoration of the burnt area. The committee suggested restoration principles and also forged a restoration strategy of the Kangwon burnt area.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.12
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• pp.6018-6033
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• 2018

Fires are a common cause of catastrophic personal injuries and devastating property damage. Every year, many fires occur and threaten human lives and property around the world. Providing early important sign for early fire detection, and therefore the detection of smoke is always the first step in fire-alarm systems. In this paper we propose an automatic smoke detection system built on camera surveillance and image processing technologies. The key features used in our algorithm are to detect and track smoke as moving objects and distinguish smoke from non-smoke objects using a convolutional neural network (CNN) model for cascade classification. The results of our experiment, in comparison with those of some earlier studies, show that the proposed algorithm is very effective not only in detecting smoke, but also in reducing false positives.

• Journal of the Society of Disaster Information
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• v.9 no.4
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• pp.413-422
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• 2013

This study evaluated the fire safety code elements through analyze the loss of life when the fire occurred in the facility sprinklers installed evaluated. And through comparison with national fire safety code elements and standards of NFPA 13 in the United States, Was looking for ways to improve for Life and property damage. In the United States, in some cases, if you do not install the sprinkler are installed as per the fire death rate compared to 83 % lower. By contrast, If the domestic rate of 280 % fatalities were 3.37 times than the United States. This lack of fire performance were analyzed uniform occupancy classification, the amount of source of water supply, live not consider the density according to the standard number and the horizontal distance that causes the installation of sprinkler facilities were analyzed.

• Journal of the Korean Association of Geographic Information Studies
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• v.7 no.2
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• pp.37-46
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• 2004

In order to decrease the area damaged by forest fires and to prevent the occurrence of forest fires, we are making an effort to improve prevention measures for forest fires. The objective of this study is to classify hazard regions where forest fires occur based on the factors that contribute to the occurrence of forest fires. Forest fire sites in the Uiseong-gun, Gyeongsangbuk-do were surveyed according to the factors of forest type and topographic characteristics where the forest fires occurred. We used a correlation analysis to determine the forest fire occurrence factors and a conditional probability analysis and GIS to determine a forest fire danger index. The resulting forest fire danger index was used in the classification of forest fire occurrence risk regions.