• Fire Science and Engineering
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• v.24 no.1
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• pp.103-110
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• 2010

Farming activity was the second cause of forest fire following the carelessness. In this study, 74 forest fires caused by farming activity and waste burning in 2009 was investigated for analyzing ignition patterns. The main cause to bring about forest fire was the farming waste burning as 25 cases, burning of farming waste matter after product and household waste burning were the second causes as 19 cases. Landcovers which transfer flame from ignition point to forest were fallow field graveyard, field fruit farm, field levee fallow field. The average distance between ignition point and forest sleeve was 19 m, and the maximum distance was 130 m. The probability of forest fire ignition was high in the 100 m buffer zone from the forest sleeve that is the prohibition rule of fire use for forest fire prevention at the forest fire season.

• Journal of the Institute of Convergence Signal Processing
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• v.22 no.2
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• pp.57-63
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• 2021

The purpose of this study is to develop a Smart Helmet to safeguard forest firefighting crews and provide on-site information in real time. The Smart Helmet for forest firefingting crews is equipped with a camera, video/voice communication module, GPS, Bluetooth, and LTE module to promote the safety of them, and through the Smart Helmet, the site situation is is transmitted in real time, and full duplex communication is possible. As a result of testing using the Smart Helmet, the control center was able to receive on-site information and communication with on-site forest firefighting crews. Through site evaluation and user evaluation, it was confirmed that the Smart Helmet needs to be improved. The developed Smart Helmet can be used in various ways in forest disasters and forest industry.

• Korean Journal of Remote Sensing
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• v.38 no.5_1
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• pp.545-557
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• 2022

This study used high-resolution satellite images and supervised classification technique based on machine learning method in order to detect the areas affected by wildfires in the demilitarized zone (DMZ) where direct access is difficult. Sentinel-2 A/B was used for high-resolution satellite images. Land cover map was calculated based on the SVM supervised classification technique. In order to find the optimal combination to classify the DMZ wildfire damage area, supervised classification according to various kernel and band combinations in the SVM was performed and the accuracy was evaluated through the error matrix. Verification was performed by comparing the results of the wildfire detection based on satellite image and data by the wildfire statistical annual report in 2020 and 2021. Also, wildfire damage areas was detected for which there is no current data in 2022. This is to quickly determine reliable results.

• Journal of Advanced Navigation Technology
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• v.27 no.3
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• pp.300-305
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• 2023

In this paper, we confirmed that an efficient sensor network can be established at a low cost by applying Geofencing technology to a LoRa-based sensor network and verified its effectiveness in disaster management such as forest fires. We detected changes through GPS, gyro sensors, and combustion detection sensors, and defined the validity size of the Geofencing cell accurately. We proposed a LoRa Payload Frame Structure that has a flexible size according to the size of the sensor information.

• Fire Science and Engineering
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• v.26 no.1
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• pp.49-60
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• 2012

The change in fuel moisture in accordance with the number of days after rainfall is an important factor in predicting forest fire dangers and supporting forest fire rangers. Therefore, in order to clear up these forest fire occurrence conditions, forest fire danger levels for surface fuel 0.6 cm or lower, 0.6~3.0 cm, 3.0~6.0 cm, and 6.0 cm or above by fallen leaves layer, humus layer, soil layer, and diameter after rainfall of 5.0 mm and higher in accordance with tree density in 2008, 2009 Spring/Autumn Young Dong region have been analyzed. Research showed an approximate 17 % fuel moisture which is a dangerous forest fire occurrence level after 5 days from rainfall in medium-density areas and 3 days after rainfall in loose-density areas of Spring time in the fallen leaves layer. On the other hand, the humus layer showed a 40 % or higher fuel humidity even after 6 days from rainfall regardless of the season, while the upper and lower parts of the soil layer had a little change. In loose-density areas with 0.6 cm or less surface fuel per diameter in Spring time, the fuel humidity displayed a dangerous level in fire forest occurrence after 3 days, and 4days in medium-density areas, and for loose-density areas with 0.6~3.0 cm surface fuel per diameter in Autumn time it showed a dangerous level in forest fire occurrence after 3 days, and for medium-density areas, 5 days. In the case of 3.0~6.0 cm of fuel moisture per diameter in both Spring and Autumn times, even after 6 days, low and medium-density areas showed that they maintain fuel moisture and therefore the dangers of forest fires were very low, and in the case of 6.0 cm or higher, it showed 25 % or higher fuel moisture even after 6 days from rainfall regardless of the season.

• Journal of Korean Society of Forest Science
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• v.97 no.3
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• pp.291-295
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• 2008

We investigated the differences in characteristics of rodent populations among unburned and two burned forest areas which were fire damaged in 2000 and 1980, Samcheok and Yangyang, Gangwon province, Korea. Apodemus peninsulae, Myodes regulus and Tamias sibiricus were captured in three study areas. Total density of rodents was the least at burned area which was damaged in 2000. Trappabilities of Apodemus peninsulae and Myodes regulus were higher in burned areas than in unburned area. However, trappability of Tamias sibiricus was the highest in unburned area. Changes in forest type and habitat structure due to time elapsed after forest fire might affect density and species composition of rodents. Mean body weight of rodents were the highest in burned area which was damaged in 2000 while the lowest in unburned area. Differences in body weight of rodents would be related with the coverage of understory. Detailed long-term ecological monitoring is needed to elucidate changes in characteristics of rodent populations after forest fire.

• Korean Journal of Microbiology
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• v.35 no.1
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• pp.78-81
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• 1999

The change of soil microbial populations was studied at the burnt areas of Mt. Jirisan in Hddong-Gun, Kyungsangnam-Do, where the fire had occurred on Oct. 21 in 1997. On the first day of the fireextinguished, the microbial density (CFUIg dry soil) was investigated at the surface, 5 cm, 10 cm, 20cm, and 30 cm depth of soils. Bacteria at the surface and 5cm depth of burnt sites were estimatedwith the low density level of $10^2$ CFW/g soil comparing to the $10^6$ CFUIg soil of the neighboring unburntsites. Actinomycetes of burnt sites were completely disappeared at the surface, and were estimatedwith the low density level of $10^3$ CFUig soil at thc 5 cm depth comparing to the 10"CFUigsoil at the depth of unburnt sites. Fungi wcrc not isolated at the surface and 5 cm depth at all.However, the rarest lire was not found to decrease the microbial populalions at the lower depths than10 cm. In addilion, the recovery or soil microbial populations following the fire was bimonthly investigatedat the surrace and 5 cm depth. Most of microbial densities at the burnt sites were greatlyincreased two months after the fire, being enough to he compared with the neighboring unburnt sites.However, actinomycetes only at the surface of burnt sites still were estimated the low density level of$10^4$ CFUig soil 4 months after the fire comparing to the $10^6$CFIg soil of unburnt sites.TEX>CFIg soil of unburnt sites.

• Fire Science and Engineering
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• v.24 no.2
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• pp.145-153
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• 2010

Korea was experienced more forest fire occurrence compared to an area. As a forest fire occurrence from man caused burning for a farming increased and was one of the main reasons of forest fire occurrence in Korea, agriculturist-was a main reason of forest fire occurrence-opinion analysis was needed for forest fire prevention from this reason. Therefore, we asked agriculturist who live in province frequently experienced a forest fire from the burning for farming to answer questions. In result, a half of the respondents have a burning experience for farming and the main reason of the burning was the clearance around farmlands. In result of survey about recognition rate of forest fire prevention policy (forest fire season, incineration inhibition within 100 m from forest, license system for burning, joint burning system by a rural community, imposing a fine for burning) was almost high except license system for the burning, In the result about analysis according to ages and provinces, the recognition rate was high in province experienced severe forest fire damage and low in below 40 years group. So, the direction of forest fire prevention policy would need to be mediated in the view of agriculturist who need to use a fire because of farming labor shortage and higher age. And a consolidated education of forest fire prevention would be needed to agriculturist who live in province experienced rarely forest fire and in below 40 years group.

• Korean Journal of Environment and Ecology
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• v.29 no.4
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• pp.508-515
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• 2015

Post-fire restoration can affect breeding bird communities and species compositions over a long-term period by determining pot-fire succession, and a long-term monitoring is therefore required to understand its impacts on forest birds. This study aimed to document the effects of post-fire restoration methods on breeding bird communities in three areas: unburned and two burned (nonintervention and intervention with clear-cut logging and planting) stands 13 years after the stand-replacing Samcheok forest fire at Mt. Geombong in Samcheok, South Korea. According to 108 point counts during the breeding season from April to June 2013, we found that the number of individuals, observed bird species, and species diversity index in intervention stands with clear-cut logging and planting were lower than that in nonintervention and unburned control stands. Foraging and nesting guild analysis also showed a lower abundance of foliage searchers, timber drillers, primary cavity nesters and secondary cavity nesters in intervention stands than in the other stands, while no significant difference was detected between the nonintervention and unburned stands. These results imply that an interventional restoration method may deter the recovery of avian breeding communities after forest fires, and also suggest that non-interventional restoration methods may be an effective way to benefit the species diversity and density of breeding bird communities.

• Korean Journal of Remote Sensing
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• v.35 no.6_2
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• pp.1095-1106
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• 2019

Damage of forest fire should be investigated quickly and accurately for recovery, compensation and prevention of secondary disaster. Using remotely sensed data, burn severity is investigated based on the difference of reflectance or spectral indices before and after forest fire. Recently, the use of high resolution satellite and UAV imagery is increasing, but it is not easy to obtain an image before forest fire that cannot be predicted where and when. This study tried to analyze availability of high-resolution images and supervised classifiers on the burn severity classification. Two supervised classifiers were applied to the KOMPSAT-3A image and the UAV multispectral image acquired after the forest fire. The maximum likelihood (MLH) classifier use absolute value of spectral reflectance and the spectral angle mapper (SAM) classifier use pattern of spectra. As a result, in terms of spatial resolution, the classification accuracy of the UAV image was higher than that of the satellite image. However, both images shown very high classification accuracy, which means that they can be used for classification of burn severity. In terms of the classifier, the maximum likelihood method showed higher classification accuracy than the spectral angle mapper because some classes have similar spectral pattern although they have different absolute reflectance. Therefore, burn severity can be classified using the high resolution multispectral images after the fire, but an appropriate classifier should be selected to get high accuracy.