• Journal of the Korean Society of Environmental Restoration Technology
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• v.18 no.6
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• pp.97-110
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• 2015

This study aimed to classify damaged lands, to find what are the damage factors affecting the studied area, and to present a prescription in order to provide some benefit for the restoration of Regional Ecological Network at Chungnam province. Finally we classified damaged lands from 1st to 4th damaged lands according to relative intensity of damage. The main damage factors for the First Damage Lands were humus horizon, soil hardness and plant species richness. In the Second Damage Lands, those were soil hardness, plant species richness, number of plants and dominant plant species. In the Third Damage Lands, those were humus horizon, soil hardness, plant species richness, number of plants and dominant plant species. In the Fourth Damage Lands, those were humus horizon, organic matter, soil hardness, EC, T-N content, plant species richness, number of plants and dominant plant species. In every cases, the damage of soil and vegetation was originated due to development carried out by human being. The changes in soil condition were not big enough for it to affect plant growth, however, degradation of vegetation was still severe.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.44 no.1
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• pp.19-32
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• 2024

An investigation into the detailed safety diagnosis report indicates that domestic highway bridges mainly suffer from defects, deterioration, and damage due to physical forces. In particular, deterioration is an inevitable damage that occurs due to various environmental and external factors over time. In particular, bridge deck is very vulnerable to cracks, which occur along with various types of damages such as rebar corrosion and surface delamination. Thus, this study evaluates a correlation between heterogeneous damage and deterioration environment and then identifies the main causes of such heterogeneous damage. After all, a bridge heterogeneous damage prediction model was developed using random forests to determine the top five factors contributing to the occurrence of the heterogeneous damage. The results of the study would serve as a basic data for estimating bridge maintenance and budget.

• Journal of Korean Society of Forest Science
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• v.102 no.4
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• pp.530-536
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• 2013

This study aimed to analyze and compare results from psychological relaxations by using profile of mood state (POMS) and Malondialdehyde (MDA) level as a scale of oxidative damage before and after walking in the forest and on the street. 29 participations (15 men and 14 women) walked in the forest and on the street for 30 minutes of each for two days. The participations filled a questionnaire for POMS and conducted an heart rate variability test, oxidative damage test (MDA as biological marker through a urine test) before and after walking. To compare the psychological states after walking in the two difference places, walking in the forest showed statistically more meaningful results in the section of tension, depression, anger, fatigue, confuse and total mood disturbance (p<0.01) than walking on the street. According to the MDA results, a concentration of MDA showed significant increase after walking on the street (p=0.014). On the contrary to this, a concentration of MDA tended to decrease after walking in the forest (p=0.076). The study showed that the psychological states were more stable and oxidative damages were more decreasing after walking in the forest than walking on the street. In the conclusion, MDA would be biological indicator for assessing the effect of alleviation on the oxidative stress after walking in the forest.

• 한국방재학회:학술대회논문집
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• 2007.02a
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• pp.238-241
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• 2007

The forest seemed apparently to die on the forest fire area in Honjima, Kagawa Prefecture, Japan. However, the soil that became growing basic of vegetation hardly suffered damage, and the forest recovery was started by the sprout, etc. in the next year. For restoration of forest fire area, the fascine mulching works and log barrier works using the damaged trees were used for the upper-stream, and chack dam and erosion control dam were set up in the downstream. Also, the forest restoration was tried with the plants and the microorganism that inhabit in Honjima to preserve a peculiar forest ecosystem.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2006.04a
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• pp.139-144
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• 2006

Forest fire is due to difficulty in approaching the forest fire at the time of forest fire and quite a long of time required for post-fire investigation, accurate analysis of damages to the forest area caused by forest fire is difficult to obtain. Recently, In attempt to overcome such difficulty, many researches are using satellite images. Nevertheless, it is not easy for everyone to obtain the satellite image data, and additional researches in order to verify accuracy of such data are also required. Therefore, in this study for satellite image to about damages to the forest areas caused by forest fire using tile selected two data of spectral reflectance of the vegetation, gained by using a spectrometer. That is we wished to search about mistake that is apt to happen by one time eyesight observation by analyzing two datas that is used spectral radiometer 3 months and 6 months later and gets.

• 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.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.10 no.5
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• pp.40-50
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• 2007

One-year-old rooted cuttings of ten poplar clones and one willow clone were planted in a riparian area in Osan. Survival rate, growth performance, biomass, vitality, defoliation, leaf damages by diseases and/or insects and stem borer damage of the poplar and willow clones have been investigated for three growing seasons. Average survival rate of all eleven clones was declined from 80.7% for the first year to 60.7% for the third year. At three years after planting, poplar clones Dorskamp, ST-148 and Eco-28 showed the best survival rate of 80%. For height and DBH growth, the poplar clone Ay-48 and the willow clone 131-25 were the highest 8.3m and 9.5cm, respectively. However, poplar clones 72-30 and 72-31 were lower than those of the other clones. Clones Ay-48 and 131-25 seemed to have strong vitality when compare to the other clones. No serious damages by diseases and insects were found in most clones. Clones Ay-48 and ST-148 were the most tolerant to various diseases and insects. Clone Ay-48 produced the largest biomass for individual and annual total biomass, 22.5kg and 18.7ton $ha^{-1}$, respectively. Clone Dorskamp showed the best adaptability, which was estimated with survival rate, biomass and damages by various diseases and insects in the riparian area and followed by clones Ay-48, 97-19 and Eco-28. As a consequence, the four clones seemed to be the best candidate poplar clones for the establishment of riparian woody buffer.

• 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.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2015.08a
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• pp.151-155
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• 2015

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2016.09a
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• pp.223-227
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• 2016