• Fire Science and Engineering
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• v.23 no.5
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• pp.96-102
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• 2009

Forest fire ignition and spread characteristics are needed as basic data in fire management. Slope aspect of ignition point, spread direction, and wind direction at that time were analyzed and regression equations were proposed for predicting burned area, fire perimeter, head spread rate, and flank spread rate using combustion time using 101 forest fires broken out between 2007 and 2009 spring. 57% forest fires of investigated numbers were ignited in south, southwest, and southeast aspects and 68% of forest fires were spreaded to east, southeast, and northeast influenced by westerly wind. About 11.8ha forest was burned and 0.5km fire perimeter increase was predicted per hour. Head and flank spread rate were calculated 0.13km and 0.05km, respectively.

• Korean Journal of Remote Sensing
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• v.24 no.2
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• pp.195-203
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• 2008

Burn severity is an important role for rehabilitation of burned forest area. This factor led to the pilot study to determine if high resolution IKONOS images could be used to classify and delinenate the bum severity over burned areas of Samchock Fire and Cheongyang-Yesan Fire. The results of this study can be summarized as follows: 1. The modified Normalized Bum Ratio (NBR) for IKONOS imagery can be evaluated using burn severity mapping. 2. IKONOS-derived NBR imagery could provide fire scar and detail mapping of burned areas at Samchock fire and Cheongyang-Yesan Burns.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.104-107
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• 2021

전 세계적으로 건조한 지역이 늘어남에 따라 산불 발생 빈도가 증가하고 있다. 이에 대한 대안으로 센서를 이용한 산불 감지 시스템의 연구가 이루어지고 있다. 기존의 서버가 센서의 작동시간 설정값을 보내는 방식은 산불 발생 빈도가 높은 환경에서는 산불 감지가 늦어지고 산불 발생 빈도가 낮은 환경에서는 불필요한 산불 감지로 센서의 생명주기 낮아지는 비효율적인 면이 있다. 이에 본 논문에서는 센서 기반 산불 감지 시스템을 위한 향상된 센싱 주기 기법을 제안한다. 제안하는 센싱 주기 기법은 환경 요인, 센서의 작동시간 알고리즘을 이용하여 환경에 맞는 센서의 작동시간 설정값을 결정한다. 그 후 센서의 화재 감지 알고리즘을 통해 센서는 서버로부터 설정값을 받아 운용모드로 전환하여 화재상황이 났을 시에 서버로 메세지를 보낸 후 생명주기를 위해 저전력모드로 전환한다. 성능평가를 통해 기존의 방식보다 평균 18.1분 빠르게 화재상황을 감지할 수 있고 소모전력도 2.2mA만큼 낮았다. 향우 실제 화재환경에서의 성능평가가 필요하다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.28 no.1
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• pp.21-28
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• 2010

Forest fire is one of the main factor disturbing the environment of forest, and it influences greatly the structure and function on forest. The process of vegetation recovery could be decided according to the extent of the damage. It is required a lot of man powers and budgets to understand born severity and process of vegetation rehabilitation at the damaged area after large-fire. However, the analysis of born severity in the forest area using satellite imagery can acquire rapidly information and more objective results remotely in the large-fire area. In this study, the space sensors have been used to map area burned, assess characteristics of active fires. For classifying fire damaged area and analyzing severity of Cheongyang-Yesan fire in 2002, in this paper we use pre- and post-fire imagery from the Landsat TM and ETM+ to compute the evaluate large-scale patterns of burn severity, use the digital stock map to calculate the damaged condition about the forest fires damaged regions and use the NDVI to monitoring the situation of the revegetation.

• Journal of the Korean Society of Hazard Mitigation
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• v.8 no.4
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• pp.75-79
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• 2008

As Information Technology developed, Information requirement has been went higher. In the field of GIS(Geographic Information System) more information is processed more quickly and accurately. Especially, quick analysis of forest fire information (topography, ignition point, weather condition, etc.) over a wide area is essential in order to minimize victim, environmental damage, and economical damage, decide course of evacuating, estimate a fire spread course, and attack resource arrangement. We determined a fire spread distance at each unit time through an experiment with various slope degrees and distinction of flat, upslope and downslope. For the tests on the upslope, as the slope increased, the rate of spread increased. On the downslope in contrast with the upslope, as the slope increased, the rate of spread decreased. We analyzed a spread rate of forest fire on each slope as the method classified upslope(+) and downslope(-) using the results obtained from the experiment. Consequently, the proposed method is able to be used to effectively support the attack of forest fire by providing accurate predictions of fire spread.

• Journal of Korean Society for Geospatial Information Science
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• v.18 no.4
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• pp.41-50
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• 2010

Because mountain area covers a large proportion of entire country, the forest fire have been an important matter in disaster prevention in Korea. Estimation of damaged area after forest fire would be very important because it would be the basis to make budget or to calculate quantities in the restoration plan for the damaged area. In Korea, the damaged area from forest fire is generally surveyed using GPS. In practice, however, the estimation of damaged area from forest fire have been inaccurate in lots of case due to some problems. Korea Forest Service which is taking charge of prevention of forest fire in Korea is managing a large number of helicopters for forest service on the whole country. So, it would be possible to take snapshots of the damaged area after forest fire from the helicopter using a digital camera. This study aims to establish a suitable method to estimate damaged area after forest fire using snapshots which are taken in the air using a digital camera. So, several approaches were implemented and compared. In future, results of this study could be used in a development of a system for investigation of damages from forest fire using digital photographs.

• Journal of Korean Society for Geospatial Information Science
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• v.14 no.1 s.35
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• pp.13-19
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• 2006

When investigating the damage of a forest fire, quite a few are depending on the naked eye observation. However, if the damage spreads to another area, it is easy to use the satellite images because it is hard to reach all the damaged areas on foot. From this research, we did a statistical interpretation of after fire using satellite image data to classify the damage on first and second factor analysis. As a result, it was more easier to classify the river's plants and ridges between rice fields that were in the forest fire damage area in the second observation then the first observation. Also, we could classify the area by areas that were damaged more or less using the second factor analysis. To verify this, we used the forest fire images collected from the satellite images and the actual survey data collected from spectral radiometer to see if these two datawere correlated and as a result we found out that they were highly involved.

• Korean journal of applied entomology
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• v.50 no.4
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• pp.267-278
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• 2011

This study was conducted to estimate the effects of fire intensity and recovery methods on coleopteran communities in three burned forests, Goseong, Gangneung, and Samcheok in Gangwon province, Korea. Four sampling sites were selected in each study area according to disturbance degree (DD) caused by fire intensity and recovery methods. DD in the study sites were categorized as 0 (no fire), 1 (weak fire), 2 (strong fire), and 3 (strong fire followed by human disturbance). Beetles collected by pitfall traps were classified into 3 functional guilds: detritivore, herbivore, and carnivore. Diversity and abundance were slightly higher in the burned sites (DD = 1-3) than in the unburned sites (DD = 0), although there was no statistical significance. Coleopteran communities differed according to fire intensity and recovery method. This suggests that recovery of burned forests using both natural recovery and reforestation may increase the diversity of coleopteran communities.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2013.11a
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• pp.105-105
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• 2013

본 연구는 산불피해 후 주민들의 시설물 안전성에 대한 인식을 분석하기 위하여 2013년 3월 9일부터 10일 이틀 동안 280ha의 산림 피해면적과 57동의 시설물 피해를 입은 울주산불지역과, 79ha의 산림피해와 111동의 시설물 피해를 입은 포항산불지역의 주민들을 대상으로 산불피해 후 시설물에 대한 안전성과 당시 격었던 심리상태를 알아보고자 울주 주민 60명, 포항 주민 60명 총 120명에 대하여 설문조사를 실시하였다. 조사항목은 일반현황, 산림 내 주요시설 및 주변 안전성 인식, 교육훈련에 대한 인식, 심리상태에 대해 4개의 항목으로 조사한바, 일반형황으로는 120명중 28명(23.3%)을 제외한 92(76.7%)명이 산불을 1~2회 이상 목격했으며, 24명(20%)이 산불 진화에 참여하였고, 41~60세가 66명(55%)으로 가장 많은 것으로 나타났다. 현재 거주하고 있는 건물은 콘크리트 가옥이 84명(70%)으로 가장 많았고, 현재 거주하고 있는 곳의 안전성에 대해서는 68명(56.7%)이 '안전하지 않다'고 인식하였다. 또한, 가옥주변 가연물질 관리 상태는 57명(47.5%)이 관리가 '잘 되어 있지 않다'고 인식하였다. 또한, 산불발생 대응 피난 및 교육훈련의 필요성에 대한 5점 척도 분석결과 4.2점으로 교육훈련이 필요하다고 인식하고 있었고, 필요한 교육훈련 과목으로는 산불피난대응훈련이 44명(36.7%)으로 가장 높은 비율을 나타냈다. 또한, 산불경험 후 심리적 불안에 대한 5점 척도 분석결과 4.0점으로 불안을 느끼고 있었고, 산불발생 후 느끼는 고통으로는 불면증, 불안감, 상실감, 혼란감, 신경과다 중 불안감이 89명(65.0%)으로 가장 높은 비율을 나타냈다.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.3
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• pp.150-162
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• 2011

For the period between 1991 and 2009, the annual average of 448 forest fires occurred in Korea. Above all, approximately 94% of the total fires frequently occurred during the spring and fall seasons. Therefore, we need to minimize the damage of forest fire and manage them systematically. In this study, we analyzed the spatio-temporal distribution patterns for the frequency of forest fire occurrences by each city and gun during dry season between 1990s and 2000s using GIS. Then we compared to analyze the frequency of forest fire occurrence by ten-day intervals in 2000s with that in 1990s. As a result of analysis, early April showed the highest frequency of forest fire occurrence in both 1990s and 2000s. Compared to the 1990s and 2000s, the regional change of forest fire showed the most frequent fire events around Chungcheong province. Especially extra 27 fires increased in Daejeon city, and the second most frequent fire had more than 10 fires in Jeolla province and Incheon. However, the number of fire frequency decreased by 12 fires at the end of April in Hongcheon-gun(the province of Gangwon). This is the largest drop over the study period. We consider that this paper will utilize usefully to establish regional counterplan for forest fire prevention by understanding regional forest fire patterns from seasonal change.